<?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>2077-2874</journal-id>
<journal-title><![CDATA[EDUMECENTRO]]></journal-title>
<abbrev-journal-title><![CDATA[EDUMECENTRO]]></abbrev-journal-title>
<issn>2077-2874</issn>
<publisher>
<publisher-name><![CDATA[Editorial Ciencias Médicas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2077-28742021000400274</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Inteligencia artificial: una herramienta en la imagenología para los pacientes positivos a la COVID-19]]></article-title>
<article-title xml:lang="en"><![CDATA[Artificial intelligence: an imaging tool for COVID-19 positive patients]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lovelle Enríquez]]></surname>
<given-names><![CDATA[Orlando Adolfo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Machín Cabrera]]></surname>
<given-names><![CDATA[Wilfredo de Jesús]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Perez Díaz]]></surname>
<given-names><![CDATA[Marlen]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Ciencias Médicas de Villa Clara Hospital Universitario &#8220;Manuel Fajardo Rivero&#8221; ]]></institution>
<addr-line><![CDATA[ Villa Clara]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Central &#8220;Marta Abreu&#8221; de Las Villas  ]]></institution>
<addr-line><![CDATA[ Villa Clara]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2021</year>
</pub-date>
<volume>13</volume>
<numero>4</numero>
<fpage>274</fpage>
<lpage>287</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S2077-28742021000400274&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S2077-28742021000400274&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S2077-28742021000400274&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Introducción:  la enfermedad por SARS-Cov-2 refuerza la importancia del uso de las nuevas tecnologías de la información y las comunicaciones en función del desarrollo e implementación de sistemas de inteligencia artificial que favorecen el diagnóstico.  Objetivo: describir la posibilidad del uso de la inteligencia artificial como una herramienta en la imagenología para los pacientes positivos a la COVID-19.  Métodos: se realizó una revisión de fuentes bibliográficas en Infomed, SciELO, PubMed y Google Académico, comprendidas en los años 2015 al 2020 con el uso de palabras claves: coronavirus, COVID-19, neumonía, radiografía e inteligencia artificial. Se seleccionaron 28 documentos por su pertinencia en el estudio.  Desarrollo: la creación de sistemas de inteligencia artificial que ayuden al diagnóstico médico requiere un enfoque interprofesional de la ciencia y constituye una de las líneas de trabajo en Cuba durante la pandemia. Una condición indispensable para la introducción de la inteligencia artificial en el diagnóstico radiológico es la capacitación que deben recibir los médicos para interactuar con ella, a través de un proceso formativo que incluya una evaluación y explicación de la calidad de los datos asociada tanto al aprendizaje como a las nuevas predicciones.  Conclusiones:  la utilización de inteligencia artificial mejorará el rendimiento del radiólogo para distinguir la COVID-19; la integración de estas tecnologías en el flujo de trabajo clínico de rutina puede ayudar a los radiólogos a diagnosticar con precisión.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Introduction:  SARS-Cov-2 disease reinforces the importance of the use of new information and communication technologies based on the development and implementation of artificial intelligence systems that favor diagnosis.  Objective:  to describe the possibility of using artificial intelligence as a tool in imaging for COVID-19 positive patients.  Methods:  a review of bibliographic sources was carried out in Infomed, SciELO, PubMed and Google Scholar, from 2015 to 2020 with the use of keywords: coronavirus, COVID-19, pneumonia, radiography and artificial intelligence. 28 documents were selected for their relevance in the study.  Development:  the creation of artificial intelligence systems that help medical diagnosis requires an interprofessional approach to science and constitutes one of the lines of work in Cuba during the pandemic. An essential condition for the introduction of artificial intelligence in radiological diagnosis is the training that doctors must receive to interact with it, through a training process that includes an evaluation and explanation of the quality of the data associated with both learning and to new predictions.  Conclusions:  the use of artificial intelligence will improve the radiologist's performance to distinguish COVID-19; integrating these technologies into routine clinical workflow can help radiologists diagnose accurately.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[imagenología tridimensional]]></kwd>
<kwd lng="es"><![CDATA[inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[radiología]]></kwd>
<kwd lng="es"><![CDATA[infecciones por coronavirus]]></kwd>
<kwd lng="es"><![CDATA[educación médica]]></kwd>
<kwd lng="en"><![CDATA[imaging, three-dimensional]]></kwd>
<kwd lng="en"><![CDATA[artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[radiology]]></kwd>
<kwd lng="en"><![CDATA[coronavirus infections]]></kwd>
<kwd lng="en"><![CDATA[education, medical]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="">
<source><![CDATA[Enciclopedia cubana. EcuRed.cu]]></source>
<year>2019</year>
<publisher-loc><![CDATA[La Habana ]]></publisher-loc>
</nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kaplan]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Haenlein]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Siri, Siri in my Hand, who's the Fairest in the Land? On the Interpretations, Illustrations and Implications of Artificial Intelligence]]></article-title>
<source><![CDATA[J Business Horizons]]></source>
<year>2019</year>
<volume>62</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lage Dávila]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Una publicación doble necesaria: Desafíos del desarrollo. El problema de las nuevas funciones de la investigación en la sociedad, visto desde la perspectiva de un hombre de laboratorio y en un país en desarrollo]]></article-title>
<source><![CDATA[Rev Medisur]]></source>
<year>2015</year>
<volume>13</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
<name>
<surname><![CDATA[Hui]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Niu]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[He]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study]]></article-title>
<source><![CDATA[Eur J Radiol]]></source>
<year>2020</year>
<volume>128</volume>
</nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hwang]]></surname>
<given-names><![CDATA[EJ]]></given-names>
</name>
<name>
<surname><![CDATA[Nam]]></surname>
<given-names><![CDATA[JG]]></given-names>
</name>
<name>
<surname><![CDATA[Lim]]></surname>
<given-names><![CDATA[WH]]></given-names>
</name>
<name>
<surname><![CDATA[Park]]></surname>
<given-names><![CDATA[SJ]]></given-names>
</name>
<name>
<surname><![CDATA[Jeong]]></surname>
<given-names><![CDATA[YS]]></given-names>
</name>
<name>
<surname><![CDATA[Kang]]></surname>
<given-names><![CDATA[JH]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep Learning for Chest Radiograph Diagnosis in the Emergency Department]]></article-title>
<source><![CDATA[Radiology]]></source>
<year>2019</year>
<volume>293</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Servín]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Diseño formativo interprofesional: una estrategia para desarrollar el pensamiento complejo en estudiantes de ciencias de la salud]]></article-title>
<source><![CDATA[FEM]]></source>
<year>2020</year>
<volume>23</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hosseiny]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Kooraki]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Gholamrezanezhad]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Reddy]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Myers]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Radiology Perspective of Coronavirus Disease 2019 (COVID-19): Lessons From Severe Acute Respiratory Syndrome and Middle East Respiratory Syndrome]]></article-title>
<source><![CDATA[AJR Am J Roentgenol]]></source>
<year>2020</year>
<volume>214</volume>
<numero>5</numero>
<issue>5</issue>
</nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cisneros Hidalgo]]></surname>
<given-names><![CDATA[YA]]></given-names>
</name>
<name>
<surname><![CDATA[González Carbonell]]></surname>
<given-names><![CDATA[RA]]></given-names>
</name>
<name>
<surname><![CDATA[Ortiz Prado]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Jacobo Almendáriz]]></surname>
<given-names><![CDATA[VH]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Algoritmo para predecir tensiones con técnicas de inteligencia artificial en una tibia humana]]></article-title>
<source><![CDATA[Rev Cubana Invest Biomed]]></source>
<year>2015</year>
<volume>34</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[De la Cruz Figueroa]]></surname>
<given-names><![CDATA[LF]]></given-names>
</name>
<name>
<surname><![CDATA[Fernández Rodríguez]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[González Rangel]]></surname>
<given-names><![CDATA[MA]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Hacia herramientas de inteligencia artificial en la enseñanza médica. Enfoque preliminar]]></article-title>
<source><![CDATA[RCIM]]></source>
<year>2018</year>
<volume>10</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Vidal Ledo]]></surname>
<given-names><![CDATA[MJ]]></given-names>
</name>
<name>
<surname><![CDATA[Madruga González]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Valdés Santiago]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Inteligencia artificial en la docencia médica]]></article-title>
<source><![CDATA[Educ Med Super]]></source>
<year>2019</year>
<volume>33</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gutiérrez Martínez]]></surname>
<given-names><![CDATA[JA]]></given-names>
</name>
<name>
<surname><![CDATA[Febles Estrada]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Las tecnologías disruptivas y su aplicación en la medicina, una visión al 2030]]></article-title>
<source><![CDATA[Rev Cubana Salud Publica]]></source>
<year>2019</year>
<volume>45</volume>
<numero>4</numero>
<issue>4</issue>
</nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Salehi]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Abedi]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Balakrishnan]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Gholamrezanezhad]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients]]></article-title>
<source><![CDATA[AJR Am J Roentgenol]]></source>
<year>2020</year>
<volume>215</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[JY]]></given-names>
</name>
<name>
<surname><![CDATA[Choe]]></surname>
<given-names><![CDATA[PG]]></given-names>
</name>
<name>
<surname><![CDATA[Oh]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Oh]]></surname>
<given-names><![CDATA[KJ]]></given-names>
</name>
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Park]]></surname>
<given-names><![CDATA[SJ]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The First Case of 2019 Novel Coronavirus Pneumonia Imported into Korea from Wuhan, China: Implication for Infection Prevention and Control Measures]]></article-title>
<source><![CDATA[J Korean Med Sci]]></source>
<year>2020</year>
<volume>35</volume>
<numero>5</numero>
<issue>5</issue>
</nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pan]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Guan]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Zhou]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Q]]></given-names>
</name>
<name>
<surname><![CDATA[Zhu]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): A study of 63 patients in Wuhan, China]]></article-title>
<source><![CDATA[Eur Radiol]]></source>
<year>2020</year>
<volume>30</volume>
<numero>6</numero>
<issue>6</issue>
</nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Durrani M]]></surname>
<given-names><![CDATA[Inam-ul-Haq]]></given-names>
</name>
<name>
<surname><![CDATA[Kalsoom U]]></surname>
<given-names><![CDATA[Yousaf A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Chest X-rays fidings in COVID 19 patients at a University Teaching Hospital - Adescriptive study]]></article-title>
<source><![CDATA[Pak J Med Sci]]></source>
<year>2020</year>
<volume>36</volume>
</nlm-citation>
</ref>
<ref id="B16">
<label>16</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ippolito]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Pecorelli]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Maino]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Capodaglio]]></surname>
<given-names><![CDATA[C]]></given-names>
</name>
<name>
<surname><![CDATA[Mariani]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
<name>
<surname><![CDATA[Giandola]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Diagnostic impact of bedside chest X-ray features of 2019 novel coronavirus in the routine admission at the emergency department: case series from Lombardy region]]></article-title>
<source><![CDATA[Eur J of Radiol]]></source>
<year>2020</year>
<volume>129</volume>
</nlm-citation>
</ref>
<ref id="B17">
<label>17</label><nlm-citation citation-type="book">
<collab>Ministerio de Salud Pública de Cuba</collab>
<source><![CDATA[Protocolo de Actuación Nacional para la COVID-19. Versión 1.6.]]></source>
<year>2021</year>
<publisher-loc><![CDATA[La Habana ]]></publisher-loc>
<publisher-name><![CDATA[Minsap]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B18">
<label>18</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Espinosa Brito]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Reflexiones a propósito de la pandemia de COVID-19 [I]: del 18 de marzo al 2 de abril de 2020]]></article-title>
<source><![CDATA[Rev Anales Academia de Ciencias de Cuba]]></source>
<year>2020</year>
<volume>10</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B19">
<label>19</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tran]]></surname>
<given-names><![CDATA[BX]]></given-names>
</name>
<name>
<surname><![CDATA[Vu]]></surname>
<given-names><![CDATA[GT]]></given-names>
</name>
<name>
<surname><![CDATA[Ha]]></surname>
<given-names><![CDATA[GH]]></given-names>
</name>
<name>
<surname><![CDATA[Vuong]]></surname>
<given-names><![CDATA[QH]]></given-names>
</name>
<name>
<surname><![CDATA[Ho]]></surname>
<given-names><![CDATA[MT]]></given-names>
</name>
<name>
<surname><![CDATA[Vuong]]></surname>
<given-names><![CDATA[TT]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study]]></article-title>
<source><![CDATA[J Clin Med]]></source>
<year>2019</year>
<volume>8</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B20">
<label>20</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Farhat]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Sakr]]></surname>
<given-names><![CDATA[GE]]></given-names>
</name>
<name>
<surname><![CDATA[Kilany]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep learning applications in pulmonary medical imaging: recent updates and insights on COVID-19]]></article-title>
<source><![CDATA[Mach Vis Appl]]></source>
<year>2020</year>
<volume>31</volume>
<numero>6</numero>
<issue>6</issue>
</nlm-citation>
</ref>
<ref id="B21">
<label>21</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[DM]]></given-names>
</name>
<name>
<surname><![CDATA[Fujimoto]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Yi]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Conv Path: A software tool for lung adenocarcinoma digital pathological image analysis aided by a convolutional neural network]]></article-title>
<source><![CDATA[E Bio Medicine]]></source>
<year>2019</year>
<volume>50</volume>
</nlm-citation>
</ref>
<ref id="B22">
<label>22</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cai]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Gao]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A review of the application of deep learning in medical image classification and segmentation]]></article-title>
<source><![CDATA[Ann Transl Med]]></source>
<year>2020</year>
<volume>8</volume>
<numero>11</numero>
<issue>11</issue>
</nlm-citation>
</ref>
<ref id="B23">
<label>23</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mazurowski]]></surname>
<given-names><![CDATA[MA]]></given-names>
</name>
<name>
<surname><![CDATA[Buda]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Saha]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Bashir]]></surname>
<given-names><![CDATA[MR]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI]]></article-title>
<source><![CDATA[J Magn Reson Imaging]]></source>
<year>2019</year>
<volume>49</volume>
<numero>4</numero>
<issue>4</issue>
</nlm-citation>
</ref>
<ref id="B24">
<label>24</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Qin]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Zeguo]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
<name>
<surname><![CDATA[Yin]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
<name>
<surname><![CDATA[Kong]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy]]></article-title>
<source><![CDATA[Radiology]]></source>
<year>2020</year>
<volume>296</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B25">
<label>25</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Kang]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Lu Ma]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Xianjun]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
<name>
<surname><![CDATA[Mingming]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
<name>
<surname><![CDATA[Jia]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A deep learning algorithm using CT images to screen for Corona Virus Disease (COVID-19)]]></article-title>
<source><![CDATA[Med Rxiv]]></source>
<year>2020</year>
<volume>31</volume>
<numero>8</numero>
<issue>8</issue>
</nlm-citation>
</ref>
<ref id="B26">
<label>26</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Murphy]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Smits]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Knoops]]></surname>
<given-names><![CDATA[AJG]]></given-names>
</name>
<name>
<surname><![CDATA[Korst]]></surname>
<given-names><![CDATA[MBJM]]></given-names>
</name>
<name>
<surname><![CDATA[Samson]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Scholten]]></surname>
<given-names><![CDATA[ET]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[COVID-19 on Chest Radiographs. A Multireader Evaluation of an Artificial Intelligence System]]></article-title>
<source><![CDATA[Radiology]]></source>
<year>2020</year>
<volume>296</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B27">
<label>27</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Gong]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep learning-based model for detecting 2019 novel coronavirus pneumonia onhigh-resolution computed tomography: a prospective study]]></article-title>
<source><![CDATA[Med Rxiv]]></source>
<year>2020</year>
<volume>2</volume>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
