<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1646-9895</journal-id>
<journal-title><![CDATA[RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação]]></journal-title>
<abbrev-journal-title><![CDATA[RISTI]]></abbrev-journal-title>
<issn>1646-9895</issn>
<publisher>
<publisher-name><![CDATA[AISTI - Associação Ibérica de Sistemas e Tecnologias de Informação]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1646-98952024000300087</article-id>
<article-id pub-id-type="doi">10.17013/risti.55.87-109</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Sistemas Expertos y su Impacto en el Control y Evaluación del Desarrollo en Niños: Revisión Sistemática de Literatura]]></article-title>
<article-title xml:lang="en"><![CDATA[Expert Systems and their Impact on Developmental Screening and Assessment in Children: A Systematic Literature Review]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Paredes-Mamani]]></surname>
<given-names><![CDATA[Gloria]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional Mayor San Marcos Lima Facultad de Ingeniería de Sistema e Informática Unidad de Postgrado]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Peru</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2024</year>
</pub-date>
<numero>55</numero>
<fpage>87</fpage>
<lpage>109</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_arttext&amp;pid=S1646-98952024000300087&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_abstract&amp;pid=S1646-98952024000300087&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_pdf&amp;pid=S1646-98952024000300087&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El control y desarrollo infantil asistido por sistemas expertos es esencial para la detección, diagnóstico y prevención en la salud de los niños, contribuyen significativamente a la accesibilidad, precisión y calidad de la atención infantil. Esta revisión analiza el impacto de los sistemas expertos en el control y evaluación del desarrollo en niños, desde 2017 a 2023. La estrategia de búsqueda identificó 22,164 estudios de fuentes como Web of Science, Scopus, ProQuest, Science Direct, Wiley Online Library, EBSCO host y ETH Zúrich. Tras aplicar criterios rigurosos de exclusión de búsqueda, se evidencia los estudios que proporcionan un aporte significativo son procedentes de Asia, los sistemas expertos fortalecen el diagnóstico y control de 52 enfermedades que afectan la salud infantil, de las cuales son 49 aportan a la salud física y 11 al área de salud mental. La revisión evidencia impacto significativo en la atención al niño es en el diagnóstico, prevención y evaluación.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Expert system-assisted child development and monitoring is essential for screening, diagnosis and prevention in children's health, contributing significantly to the accessibility, accuracy and quality of childcare. This review analyses the impact of expert systems on child developmental screening and assessment from 2017 to 2023. The search strategy identified 22,164 studies from sources such as Web of Science, Scopus, ProQuest, Science Direct, Wiley Online Library, EBSCO host and ETH Zurich. After applying rigorous search exclusion criteria, it is evident that the studies that provide a significant contribution are from Asia, expert systems strengthen the diagnosis and control of 52 diseases that affect children's health, of which 49 contribute to physical health and 11 to the area of mental health. The review shows significant impact on childcare in terms of diagnosis, prevention and evaluation.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Sistemas expertos]]></kwd>
<kwd lng="es"><![CDATA[control y evaluación]]></kwd>
<kwd lng="es"><![CDATA[niños]]></kwd>
<kwd lng="en"><![CDATA[Expert systems]]></kwd>
<kwd lng="en"><![CDATA[monitoring and evaluation]]></kwd>
<kwd lng="en"><![CDATA[children]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Abdel Hameed]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Hassaballah]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Hosney]]></surname>
<given-names><![CDATA[M. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Alqahtani]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An AI-Enabled Internet of Things Based Autism Care System for Improving Cognitive Ability of Children with Autism Spectrum Disorders]]></article-title>
<source><![CDATA[Computational Intelligence and Neuroscience]]></source>
<year>2022</year>
<page-range>1-12</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Abir]]></surname>
<given-names><![CDATA[W. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Uddin]]></surname>
<given-names><![CDATA[M. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Khanam]]></surname>
<given-names><![CDATA[F. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Tazin]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Khan]]></surname>
<given-names><![CDATA[M. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Masud]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Aljahdali]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method]]></article-title>
<source><![CDATA[Computational Intelligence and Neuroscience]]></source>
<year>2022</year>
<page-range>1-14</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Annapragada]]></surname>
<given-names><![CDATA[A. V.]]></given-names>
</name>
<name>
<surname><![CDATA[Donaruma]]></surname>
<given-names><![CDATA[M. M. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Annapragada]]></surname>
<given-names><![CDATA[A. V.]]></given-names>
</name>
<name>
<surname><![CDATA[Starosolski]]></surname>
<given-names><![CDATA[Z. A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A natural language processing and deep learning approach to identify child abuse from pediatric electronic medical records]]></article-title>
<source><![CDATA[PLoS ONE]]></source>
<year>2021</year>
<volume>16</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Arnold]]></surname>
<given-names><![CDATA[R. W]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Comparative Validation of PlusoptiX and AI-Optic Photoscreeners in Children with High Amblyopia Risk Factor Prevalence]]></article-title>
<source><![CDATA[Clinical Ophthalmology]]></source>
<year>2022</year>
<volume>16</volume>
<numero>August</numero>
<issue>August</issue>
<page-range>2639-50</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bala]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ali]]></surname>
<given-names><![CDATA[M. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Satu]]></surname>
<given-names><![CDATA[M. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Hasan]]></surname>
<given-names><![CDATA[K. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Moni]]></surname>
<given-names><![CDATA[M. A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Efficient Machine Learning Models for Early Stage Detection of Autism Spectrum Disorder]]></article-title>
<source><![CDATA[Algorithms]]></source>
<year>2022</year>
<volume>15</volume>
<numero>5</numero>
<issue>5</issue>
</nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Beaulac]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Rosenthal]]></surname>
<given-names><![CDATA[J. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Pei]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Friedman]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Wolden]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Hodgson]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial]]></article-title>
<source><![CDATA[Applied Artificial Intelligence]]></source>
<year>2020</year>
<volume>34</volume>
<numero>14</numero>
<issue>14</issue>
<page-range>1100-14</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Boivin]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Shahriari]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Faure]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Mellul]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Tiassou]]></surname>
<given-names><![CDATA[E. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Jouvet]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Noumeir]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Multimodality Video Acquisition System for the Assessment of Vital Distress in Children]]></article-title>
<source><![CDATA[Sensors]]></source>
<year>2023</year>
<volume>23</volume>
<numero>11</numero>
<issue>11</issue>
</nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bondi-Kelly]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Golden]]></surname>
<given-names><![CDATA[C. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Behari]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Tambe]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Predicting micronutrient deficiency with publicly available satellite data]]></article-title>
<source><![CDATA[AI Magazine]]></source>
<year>2023</year>
<volume>44</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>30-40</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Carrascal]]></surname>
<given-names><![CDATA[A. I. O.]]></given-names>
</name>
<name>
<surname><![CDATA[Cotte]]></surname>
<given-names><![CDATA[D. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Arango]]></surname>
<given-names><![CDATA[N. A. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Vélez]]></surname>
<given-names><![CDATA[A. F. P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Descubrimiento de Conocimiento en Historias Clínicas mediante Minería de Texto]]></article-title>
<source><![CDATA[RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação]]></source>
<year>2019</year>
<numero>34</numero>
<issue>34</issue>
<page-range>29-43</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chang]]></surname>
<given-names><![CDATA[T. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[Y. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[S. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Chiu]]></surname>
<given-names><![CDATA[P. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Chou]]></surname>
<given-names><![CDATA[C. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Chang]]></surname>
<given-names><![CDATA[L. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Lai]]></surname>
<given-names><![CDATA[F. P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Clinical characteristics of hospitalized children with community-acquired pneumonia and respiratory infections: Using machine learning approaches to support pathogen prediction at admission]]></article-title>
<source><![CDATA[Journal of Microbiology, Immunology and Infection]]></source>
<year>2023</year>
<volume>56</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>772-81</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[You]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[He]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhu]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Yao]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Ge]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Gao]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Yu]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Development and evaluation of an artificial intelligence system for children intussusception diagnosis using ultrasound images]]></article-title>
<source><![CDATA[IScience]]></source>
<year>2023</year>
<volume>26</volume>
<numero>4</numero>
<issue>4</issue>
</nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Lv]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Andrinopoulou]]></surname>
<given-names><![CDATA[E. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Gallardo-Estrella]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Charbonnier]]></surname>
<given-names><![CDATA[J. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Caudri]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Davis]]></surname>
<given-names><![CDATA[S. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Rosenfeld]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ratjen]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Kronmal]]></surname>
<given-names><![CDATA[R. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Stukovsky]]></surname>
<given-names><![CDATA[K. D. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Stick]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Tiddens]]></surname>
<given-names><![CDATA[H. A. W. M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automatic bronchus and artery analysis on chest computed tomography to evaluate the effect of inhaled hypertonic saline in children aged 3-6 years with cystic fibrosis in a randomized clinical trial]]></article-title>
<source><![CDATA[Journal of Cystic Fibrosis]]></source>
<year>2023</year>
<volume>22</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>916-25</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Choi]]></surname>
<given-names><![CDATA[J. W.]]></given-names>
</name>
<name>
<surname><![CDATA[Cho]]></surname>
<given-names><![CDATA[Y. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Ha]]></surname>
<given-names><![CDATA[J. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[Y. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Koh]]></surname>
<given-names><![CDATA[S. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Seo]]></surname>
<given-names><![CDATA[J. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Choi]]></surname>
<given-names><![CDATA[Y. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Cheon]]></surname>
<given-names><![CDATA[J. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Phi]]></surname>
<given-names><![CDATA[J. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[W. S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep Learning-Assisted Diagnosis of Pediatric Skull Fractures on Plain Radiographs]]></article-title>
<source><![CDATA[Korean Journal of Radiology]]></source>
<year>2022</year>
<volume>23</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>343-54</page-range></nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cirillo]]></surname>
<given-names><![CDATA[M. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Mirdell]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Sjöberg]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Pham]]></surname>
<given-names><![CDATA[T. D]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Improving burn depth assessment for pediatric scalds by AI based on semantic segmentation of polarized light photography images]]></article-title>
<source><![CDATA[Burns]]></source>
<year>2021</year>
<volume>47</volume>
<numero>7</numero>
<issue>7</issue>
<page-range>1586-93</page-range></nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cordeiro]]></surname>
<given-names><![CDATA[J. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Mosca]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Correia-Costa]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Ferreira]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Pimenta]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Correia-Costa]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Barros]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Postolache]]></surname>
<given-names><![CDATA[O]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The Association between Childhood Obesity and Cardiovascular Changes in 10 Years Using Special Data Science Analysis]]></article-title>
<source><![CDATA[Children]]></source>
<year>2023</year>
<volume>10</volume>
<numero>10</numero>
<issue>10</issue>
</nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Correa]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Zimic]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Barrientos]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Barrientos]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Román-Gonzalez]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Pajuelo]]></surname>
<given-names><![CDATA[M. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Anticona]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Mayta]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Alva]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Solis-Vasquez]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Figueroa]]></surname>
<given-names><![CDATA[D. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Chavez]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Lavarello]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Castañeda]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Paz-Soldán]]></surname>
<given-names><![CDATA[V. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Checkley]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Gilman]]></surname>
<given-names><![CDATA[R. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Oberhelman]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automatic classification of pediatric pneumonia based on lung ultrasound pattern recognition]]></article-title>
<source><![CDATA[PLoS ONE]]></source>
<year>2018</year>
<volume>13</volume>
<numero>12</numero>
<issue>12</issue>
</nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Duran]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Stark]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Saglam]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Semmelweis]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Lioba Wunram]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Spiess]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Schoenau]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial intelligence to improve efficiency of administration of gross motor function assessment in children with cerebral palsy]]></article-title>
<source><![CDATA[Developmental Medicine and Child Neurology]]></source>
<year>2022</year>
<volume>64</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>228-34</page-range></nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Esposito]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Bianchini]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Argentiero]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Gobbi]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Vicini]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Principi]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[New approaches and technologies to improve accuracy of acute otitis media diagnosis]]></article-title>
<source><![CDATA[Diagnostics]]></source>
<year>2021</year>
<volume>11</volume>
<numero>12</numero>
<issue>12</issue>
</nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Goulooze]]></surname>
<given-names><![CDATA[S. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Zwep]]></surname>
<given-names><![CDATA[L. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Vogt]]></surname>
<given-names><![CDATA[J. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Krekels]]></surname>
<given-names><![CDATA[E. H. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Hankemeier]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[van den Anker]]></surname>
<given-names><![CDATA[J. N.]]></given-names>
</name>
<name>
<surname><![CDATA[Knibbe]]></surname>
<given-names><![CDATA[C. A. J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Beyond the Randomized Clinical Trial: Innovative Data Science to Close the Pediatric Evidence Gap]]></article-title>
<source><![CDATA[Clinical Pharmacology and Therapeutics]]></source>
<year>2020</year>
<volume>107</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>786-95</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gupta]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Jiwani]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Pau]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Alibakhshikenari]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A Machine Learning Approach Using Statistical Models for Early Detection of Cardiac Arrest in Newborn Babies in the Cardiac Intensive Care Unit]]></article-title>
<source><![CDATA[IEEE Access]]></source>
<year>2023</year>
<volume>11</volume>
<numero>May</numero>
<issue>May</issue>
<page-range>60516-38</page-range></nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hadri]]></surname>
<given-names><![CDATA[S. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Bouramoul]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Towards a deep learning based contextual chat bot for preventing depression in young children with autistic spectrum disorder]]></article-title>
<source><![CDATA[Smart Health]]></source>
<year>2023</year>
<volume>27</volume>
<numero>December</numero>
<issue>December</issue>
</nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Gao]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Liao]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Early Prediction of Refractory Epilepsy in Children Under Artificial Intelligence Neural Network]]></article-title>
<source><![CDATA[Frontiers in Neurorobotics]]></source>
<year>2021</year>
<volume>15</volume>
<numero>June</numero>
<issue>June</issue>
<page-range>1-10</page-range></nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Iadanza]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Goretti]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Sorelli]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Melillo]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Pecchia]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Simonelli]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Gherardelli]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automatic Detection of Genetic Diseases in Pediatric Age Using Pupillometry]]></article-title>
<source><![CDATA[IEEE Access]]></source>
<year>2020</year>
<page-range>34949-61</page-range></nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ji]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Choi]]></surname>
<given-names><![CDATA[T. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Yoon]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Jeong]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Kang]]></surname>
<given-names><![CDATA[S. W.]]></given-names>
</name>
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[J. W.]]></given-names>
</name>
<name>
<surname><![CDATA[Won]]></surname>
<given-names><![CDATA[G. H]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Characteristics of Attention-Deficit/Hyperactivity Disorder Subtypes in Children Classified Using Quantitative Electroencephalography]]></article-title>
<source><![CDATA[Neuropsychiatric Disease and Treatment]]></source>
<year>2022</year>
<volume>18</volume>
<numero>November</numero>
<issue>November</issue>
<page-range>2725-36</page-range></nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ji]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhi]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Peng]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Ji]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Regression analysis of air pollution and pediatric respiratory diseases based on interpretable machine learning]]></article-title>
<source><![CDATA[Frontiers in Earth Science]]></source>
<year>2023</year>
<volume>11</volume>
<numero>March</numero>
<issue>March</issue>
<page-range>1-13</page-range></nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jiang]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Yu]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Ye]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Jia]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Shu]]></surname>
<given-names><![CDATA[Q]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A deep learning-based method for pediatric congenital heart disease detection with seven standard views in echocardiography]]></article-title>
<source><![CDATA[World Journal of Pediatric Surgery]]></source>
<year>2023</year>
<volume>6</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Khosravi]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Huck]]></surname>
<given-names><![CDATA[N. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Shahraki]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Hunter]]></surname>
<given-names><![CDATA[S. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Danza]]></surname>
<given-names><![CDATA[C. N.]]></given-names>
</name>
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[S. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Forbes]]></surname>
<given-names><![CDATA[B. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Dai]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Levin]]></surname>
<given-names><![CDATA[A. V.]]></given-names>
</name>
<name>
<surname><![CDATA[Binenbaum]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Chang]]></surname>
<given-names><![CDATA[P. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Suh]]></surname>
<given-names><![CDATA[D. W]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep Learning Approach for Differentiating Etiologies of Pediatric Retinal Hemorrhages: A Multicenter Study]]></article-title>
<source><![CDATA[International Journal of Molecular Sciences]]></source>
<year>2023</year>
<volume>24</volume>
<numero>20</numero>
<issue>20</issue>
</nlm-citation>
</ref>
<ref id="B28">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[B. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[B. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Mun]]></surname>
<given-names><![CDATA[J. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Lim]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[K. H]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An accurate deep learning model for wheezing in children using real world data]]></article-title>
<source><![CDATA[Scientific Reports]]></source>
<year>2022</year>
<volume>12</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B29">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[D. W.]]></given-names>
</name>
<name>
<surname><![CDATA[Ahn]]></surname>
<given-names><![CDATA[H. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Yoon]]></surname>
<given-names><![CDATA[C. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[J. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Advanced kidney volume measurement method using ultrasonography with artificial intelligence-based hybrid learning in children]]></article-title>
<source><![CDATA[Sensors]]></source>
<year>2021</year>
<volume>21</volume>
<numero>20</numero>
<issue>20</issue>
</nlm-citation>
</ref>
<ref id="B30">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lam]]></surname>
<given-names><![CDATA[J. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Shimizu]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Tremoulet]]></surname>
<given-names><![CDATA[A. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Bainto]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Roberts]]></surname>
<given-names><![CDATA[S. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Sivilay]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Gardiner]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Kanegaye]]></surname>
<given-names><![CDATA[J. T.]]></given-names>
</name>
<name>
<surname><![CDATA[Hogan]]></surname>
<given-names><![CDATA[A. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Salazar]]></surname>
<given-names><![CDATA[J. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Mohandas]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Szmuszkovicz]]></surname>
<given-names><![CDATA[J. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Mahanta]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Dionne]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Newburger]]></surname>
<given-names><![CDATA[J. W.]]></given-names>
</name>
<name>
<surname><![CDATA[Ansusinha]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[DeBiasi]]></surname>
<given-names><![CDATA[R. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Hao]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Ling]]></surname>
<given-names><![CDATA[X. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Sykes]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A machine-learning algorithm for diagnosis of multisystem inflammatory syndrome in children and Kawasaki disease in the USA: a retrospective model development and validation study]]></article-title>
<source><![CDATA[The Lancet Digital Health]]></source>
<year>2022</year>
<volume>4</volume>
<numero>10</numero>
<issue>10</issue>
</nlm-citation>
</ref>
<ref id="B31">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Leon-Ayala]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Andrade-Arenas]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Mobile Application Design: Caries Health Care for Children]]></article-title>
<source><![CDATA[International Journal of Interactive Mobile Technologies]]></source>
<year>2022</year>
<volume>16</volume>
<numero>21</numero>
<issue>21</issue>
<page-range>183-200</page-range></nlm-citation>
</ref>
<ref id="B32">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Fu]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Zeng]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Ye]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Jin]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Modified Weights-and-Structure-Determination Neural Network for Pattern Classification of Flatfoot]]></article-title>
<source><![CDATA[IEEE Access]]></source>
<year>2019</year>
<page-range>63146-54</page-range></nlm-citation>
</ref>
<ref id="B33">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Linares-Espinós]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Hernández]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Domínguez-Escrig]]></surname>
<given-names><![CDATA[J. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Fernández-Pello]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Hevia]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Mayor]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Padilla-Fernández]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Ribal]]></surname>
<given-names><![CDATA[M. J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Methodology of a systematic review]]></article-title>
<source><![CDATA[Actas Urológicas Españolas]]></source>
<year>2018</year>
<volume>42</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>499-506</page-range></nlm-citation>
</ref>
<ref id="B34">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Loh]]></surname>
<given-names><![CDATA[H. W.]]></given-names>
</name>
<name>
<surname><![CDATA[Ooi]]></surname>
<given-names><![CDATA[C. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Oh]]></surname>
<given-names><![CDATA[S. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Barua]]></surname>
<given-names><![CDATA[P. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Tan]]></surname>
<given-names><![CDATA[Y. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Molinari]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[March]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Acharya]]></surname>
<given-names><![CDATA[U. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Fung]]></surname>
<given-names><![CDATA[D. S. S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep neural network technique for automated detection of ADHD and CD using ECG signal]]></article-title>
<source><![CDATA[Computer Methods and Programs in Biomedicine]]></source>
<year>2023</year>
<volume>241</volume>
<numero>August</numero>
<issue>August</issue>
</nlm-citation>
</ref>
<ref id="B35">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Masad]]></surname>
<given-names><![CDATA[I. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Alqudah]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Alqudah]]></surname>
<given-names><![CDATA[A. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Almashaqbeh]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A hybrid deep learning approach towards building an intelligent system for pneumonia detection in chest X-ray images]]></article-title>
<source><![CDATA[International Journal of Electrical and Computer Engineering]]></source>
<year>2021</year>
<volume>11</volume>
<numero>6</numero>
<issue>6</issue>
</nlm-citation>
</ref>
<ref id="B36">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nel]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Feucht]]></surname>
<given-names><![CDATA[U. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Nel]]></surname>
<given-names><![CDATA[A. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Becker]]></surname>
<given-names><![CDATA[P. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Wenhold]]></surname>
<given-names><![CDATA[F. A. M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A novel screening tool to predict severe acute malnutrition through automated monitoring of weight-for-age growth curves]]></article-title>
<source><![CDATA[Maternal and Child Nutrition]]></source>
<year>2022</year>
<volume>18</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B37">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nguyen]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Maarek]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Hermann]]></surname>
<given-names><![CDATA[A. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Kammoun]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Marchi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Khelifi-Touhami]]></surname>
<given-names><![CDATA[M. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Collin]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Jaillard]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Kompel]]></surname>
<given-names><![CDATA[A. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Hayashi]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Guermazi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Le Pointe]]></surname>
<given-names><![CDATA[H. D]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Assessment of an artificial intelligence aid for the detection of appendicular skeletal fractures in children and young adults by senior and junior radiologists]]></article-title>
<source><![CDATA[Pediatric Radiology]]></source>
<year>2022</year>
<volume>52</volume>
<numero>11</numero>
<issue>11</issue>
<page-range>2215-26</page-range></nlm-citation>
</ref>
<ref id="B38">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nishat]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Hudson]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Panesar]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Ali]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Litwin]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Zeller]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Candelaria]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Foster]]></surname>
<given-names><![CDATA[M. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Stinson]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Exploring the needs of children and caregivers to inform design of an artificial intelligence-enhanced social robot in the pediatric emergency department]]></article-title>
<source><![CDATA[Journal of Clinical and Translational Science]]></source>
<year>2023</year>
<volume>7</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B39">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nogales]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[García-Tejedor]]></surname>
<given-names><![CDATA[Á. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Chazarra]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Ugalde-Canitrot]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Discriminating and understanding brain states in children with epileptic spasms using deep learning and graph metrics analysis of brain connectivity]]></article-title>
<source><![CDATA[Computer Methods and Programs in Biomedicine]]></source>
<year>2023</year>
</nlm-citation>
</ref>
<ref id="B40">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Paolucci]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Giorgini]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Scheda]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Alessi]]></surname>
<given-names><![CDATA[F. V.]]></given-names>
</name>
<name>
<surname><![CDATA[Diciotti]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Early prediction of Autism Spectrum Disorders through interaction analysis in home videos and explainable artificial intelligence]]></article-title>
<source><![CDATA[Computers in Human Behavior]]></source>
<year>2023</year>
<volume>148</volume>
<numero>July</numero>
<issue>July</issue>
</nlm-citation>
</ref>
<ref id="B41">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pavez]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Diaz]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Arango-Lopez]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Ahumada]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Mendez-Sandoval]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Moreira]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Emo-mirror: a proposal to support emotion recognition in children with autism spectrum disorders]]></article-title>
<source><![CDATA[Neural Computing and Applications]]></source>
<year>2023</year>
<volume>35</volume>
<numero>11</numero>
<issue>11</issue>
<page-range>7913-24</page-range></nlm-citation>
</ref>
<ref id="B42">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rasheed]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Chand]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Ahmed]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Sharif]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Hoodbhoy]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Siddiqui]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Hasan]]></surname>
<given-names><![CDATA[B. S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Use of artificial intelligence on Electroencephalogram (EEG) waveforms to predict failure in early school grades in children from a rural cohort in Pakistan]]></article-title>
<source><![CDATA[PLoS ONE]]></source>
<year>2021</year>
<volume>16</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B43">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Reismann]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Romualdi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Kiss]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Minderjahn]]></surname>
<given-names><![CDATA[M. I.]]></given-names>
</name>
<name>
<surname><![CDATA[Kallarackal]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Schad]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Reismann]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Diagnosis and classification of pediatric acute appendicitis by artificial intelligence methods: An investigator-independent approach]]></article-title>
<source><![CDATA[PLoS ONE]]></source>
<year>2019</year>
<volume>14</volume>
<numero>9</numero>
<issue>9</issue>
</nlm-citation>
</ref>
<ref id="B44">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Seo]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Hwang]]></surname>
<given-names><![CDATA[J. J]]></given-names>
</name>
<name>
<surname><![CDATA[Jung]]></surname>
<given-names><![CDATA[Y. H]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Nam]]></surname>
<given-names><![CDATA[O. H]]></given-names>
</name>
<name>
<surname><![CDATA[Shin]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep focus approach for accurate bone age estimation from lateral cephalogram]]></article-title>
<source><![CDATA[Journal of Dental Sciences]]></source>
<year>2023</year>
<volume>18</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>34-43</page-range></nlm-citation>
</ref>
<ref id="B45">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shekhar]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Vanama]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[John]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Issac]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Arjoune]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Doroshow]]></surname>
<given-names><![CDATA[R. W]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automated identification of innocent Still&#8217;s murmur using a convolutional neural network]]></article-title>
<source><![CDATA[Frontiers in Pediatrics]]></source>
<year>2022</year>
</nlm-citation>
</ref>
<ref id="B46">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shi]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Fu]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Zeng]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ge]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Xia]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Shen]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Jiang]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhai]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Information technology and artificial intelligence support in management experiences of the pediatric designated hospital during the COVID-19 epidemic in 2022 in Shanghai]]></article-title>
<source><![CDATA[Intelligent Medicine]]></source>
<year>2023</year>
<volume>3</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>16-21</page-range></nlm-citation>
</ref>
<ref id="B47">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sierra]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Díaz-Díaz]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Barranco]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Carrasco-Villalón]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial Intelligence-Assisted Diagnosis for Early Intervention Patients]]></article-title>
<source><![CDATA[Applied Sciences]]></source>
<year>2022</year>
<volume>12</volume>
<numero>18</numero>
<issue>18</issue>
</nlm-citation>
</ref>
<ref id="B48">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tragomalou]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Moschonis]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Manios]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Kassari]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Ioakimidis]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Diou]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Stefanopoulos]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Lekka]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Maglaveras]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Delopoulos]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Charmandari]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Novel e-health applications for the management of cardiometabolic risk factors in children and adolescents in greece]]></article-title>
<source><![CDATA[Nutrients]]></source>
<year>2020</year>
<volume>12</volume>
<numero>5</numero>
<issue>5</issue>
</nlm-citation>
</ref>
<ref id="B49">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Vaezipour]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Fritschi]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Brasier]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Bélard]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Domínguez]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Tebruegge]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Portevin]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Ritz]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Towards Accurate Point-of-Care Tests for Tuberculosis in Children]]></article-title>
<source><![CDATA[Pathogens]]></source>
<year>2022</year>
<volume>11</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B50">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Vaquerizo-Villar]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Gutiérrez-Tobal]]></surname>
<given-names><![CDATA[G. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Calvo]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Álvarez]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Kheirandish-Gozal]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[del Campo]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Gozal]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Hornero]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea]]></article-title>
<source><![CDATA[Computers in Biology and Medicine]]></source>
<year>2023</year>
<volume>165</volume>
<numero>August</numero>
<issue>August</issue>
</nlm-citation>
</ref>
<ref id="B51">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Villegas-Ch]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Urbina-Camacho]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[García-Ortiz]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Detection of Abnormal Patterns in Children&#8217;s Handwriting by Using an Artificial-Intelligence-Based Method]]></article-title>
<source><![CDATA[Informatics]]></source>
<year>2023</year>
<volume>10</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B52">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[von Elling-Tammen]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Stark]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Wloka]]></surname>
<given-names><![CDATA[K. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Alberg]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Schoenau]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Duran]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Predicting Gross Motor Function in Children and Adolescents with Cerebral Palsy Applying Artificial Intelligence Using Data on Assistive Devices]]></article-title>
<source><![CDATA[Journal of Clinical Medicine]]></source>
<year>2023</year>
<volume>12</volume>
<numero>6</numero>
<issue>6</issue>
</nlm-citation>
</ref>
<ref id="B53">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wall]]></surname>
<given-names><![CDATA[D. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu-Mayo]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Salomon]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Shannon]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Taraman]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Optimizing a de novo artificial intelligence-based medical device under a predetermined change control plan: Improved ability to detect or rule out pediatric autism]]></article-title>
<source><![CDATA[Intelligence-Based Medicine]]></source>
<year>2023</year>
<volume>8</volume>
<numero>June</numero>
<issue>June</issue>
</nlm-citation>
</ref>
<ref id="B54">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Dou]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Han]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Tao]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A population-based study to assess two convolutional neural networks for dental age estimation]]></article-title>
<source><![CDATA[BMC Oral Health]]></source>
<year>2023</year>
<volume>23</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B55">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[T. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Tsai]]></surname>
<given-names><![CDATA[C. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Gao]]></surname>
<given-names><![CDATA[Q. Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[Y. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Kuo]]></surname>
<given-names><![CDATA[C. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[Y. H]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The Application of Artificial-Intelligence-Assisted Dental Age Assessment in Children with Growth Delay]]></article-title>
<source><![CDATA[Journal of Personalized Medicine]]></source>
<year>2022</year>
<volume>12</volume>
<numero>7</numero>
<issue>7</issue>
</nlm-citation>
</ref>
<ref id="B56">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Shi]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Qin]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Ultrasound Lung Image under Artificial Intelligence Algorithm in Diagnosis of Neonatal Respiratory Distress Syndrome]]></article-title>
<source><![CDATA[Computational and Mathematical Methods in Medicine]]></source>
<year>2022</year>
</nlm-citation>
</ref>
<ref id="B57">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Shu]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Gong]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Shu]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhu]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Qi]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Yu]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A Deep-Learning Aided Diagnostic System in Assessing Developmental Dysplasia of the Hip on Pediatric Pelvic Radiographs]]></article-title>
<source><![CDATA[Frontiers in Pediatrics]]></source>
<year>2022</year>
<volume>9</volume>
<numero>March</numero>
<issue>March</issue>
<page-range>1-9</page-range></nlm-citation>
</ref>
<ref id="B58">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Hu]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Cao]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Dong]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Gao]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Jiang]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Gao]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Childhood epilepsy syndromes classification based on fused features of electroencephalogram and electrocardiogram]]></article-title>
<source><![CDATA[Cognitive Computation and Systems]]></source>
<year>2022</year>
<volume>4</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>1-10</page-range></nlm-citation>
</ref>
<ref id="B59">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yasin]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Draz]]></surname>
<given-names><![CDATA[U.]]></given-names>
</name>
<name>
<surname><![CDATA[Ali]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Shahid]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Abid]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Bibi]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Irfan]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Huneif]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Almedhesh]]></surname>
<given-names><![CDATA[S. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Alqahtani]]></surname>
<given-names><![CDATA[S. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Abdulwahab]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Alzahrani]]></surname>
<given-names><![CDATA[M. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Alshehri]]></surname>
<given-names><![CDATA[D. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Abdullah]]></surname>
<given-names><![CDATA[A. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Rahman]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automated Speech Recognition System to Detect Babies&#8217; Feelings through Feature Analysis]]></article-title>
<source><![CDATA[Computers, Materials and Continua]]></source>
<year>2022</year>
<volume>73</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>4349-67</page-range></nlm-citation>
</ref>
<ref id="B60">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Wan]]></surname>
<given-names><![CDATA[N. J]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Simple Method to Predict Insulin Resistance in Children Aged 6-12 Years by Using Machine Learning]]></article-title>
<source><![CDATA[Diabetes, Metabolic Syndrome and Obesity]]></source>
<year>2022</year>
<volume>15</volume>
<numero>September</numero>
<issue>September</issue>
<page-range>2963-75</page-range></nlm-citation>
</ref>
<ref id="B61">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Cheng]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Yue]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Construction of artificial intelligence system of carpal bone age for Chinese children based on China-05 standard]]></article-title>
<source><![CDATA[Medical Physics]]></source>
<year>2022</year>
<volume>49</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>3223-32</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
