<?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>2007-5057</journal-id>
<journal-title><![CDATA[Investigación en educación médica]]></journal-title>
<abbrev-journal-title><![CDATA[Investigación educ. médica]]></abbrev-journal-title>
<issn>2007-5057</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Facultad de Medicina]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-50572025000100061</article-id>
<article-id pub-id-type="doi">10.22201/fm.20075057e.2025.53.24624</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Actitudes/percepciones relacionadas al uso de inteligencia artificial en la atención sanitaria entre estudiantes universitarios]]></article-title>
<article-title xml:lang="en"><![CDATA[Attitudes/perceptions related to the use of Artificial Intelligence in healthcare among university students]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Salas-García]]></surname>
<given-names><![CDATA[Miguel Amaury]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Guadalajara Centro Universitario de Ciencias de la Salud Doctorado en Ciencias de la Nutrición Traslacional]]></institution>
<addr-line><![CDATA[Guadalajara Jalisco]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2025</year>
</pub-date>
<volume>14</volume>
<numero>53</numero>
<fpage>61</fpage>
<lpage>71</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-50572025000100061&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-50572025000100061&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-50572025000100061&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Introducción:  En el ámbito sanitario, la inteligencia artificial (IA) ha surgido como una fuerza transformadora, capaz de mejorar la precisión diagnóstica, optimizar los tratamientos y agilizar los procesos administrativos. Sin embargo, a pesar de sus beneficios la implementación de la IA en la atención sanitaria enfrenta controversias y desafíos.  Objetivo:  Determinar las actitudes y percepciones sobre el uso de IA en la atención sanitaria entre estudiantes universitarios (EU) de ciencias de la salud en Guadalajara, Jalisco.  Método:  Se aplicó un formulario en línea entre EU para recabar datos sociodemográficos y un cuestionario de 28 ítems para determinar actitudes y percepciones sobre la IA.  Resultados:  Participaron 83 EU, mayoritariamente mujeres y pertenecientes a programas de enfermería, nutrición y psicología. Los sujetos reportaron un uso elevado de la tecnología, así como conocimiento moderado respecto a la IA. Respecto a las actitudes del uso de esta en la atención sanitaria, predominó una posición neutral. Aunque reconocieron los posibles beneficios de la IA, mostraron cautela cuando se trataba de su propio diagnóstico o tratamiento. Adicionalmente, surgieron preocupaciones como el desplazamiento y pérdida de empleo del profesional de la salud (PS), la seguridad de los datos y el deterioro de la relación PS-paciente.  Conclusiones:  Las actitudes de los EU hacia la IA en la atención sanitaria reflejan una mezcla de sentimientos positivos y negativos, derivados de inquietudes sociales más amplias sobre la rápida integración de la IA en el sector. Tomar en cuenta estas preocupaciones permitirá reducir la brecha existente entre las percepciones de la IA por parte de los EU y favorecer el uso de esta tecnología para mejorar los resultados de los pacientes.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Introduction:  In healthcare, artificial intelligence (AI) has emerged as a transformative force, capable of improving diagnostic accuracy, optimizing treatments and streamlining administrative processes. However, despite its benefits the implementation of AI in healthcare faces controversies and challenges.  Objective:  To determine the attitudes and perceptions about the use of AI in health care among university students (US) of health sciences in Guadalajara, Jalisco.  Methods:  An online form was administered among US to collect sociodemographic data and a 28-item questionnaire to determine attitudes and perceptions about AI.  Results:  A total of 83 US, mostly women and belonging to nursing, nutrition and psychology programs, participated. Participants reported a high use of technology, as well as moderate knowledge of AI. Regarding attitudes toward its use in health care, a neutral position predominated. Although they recognized the potential benefits of AI, they were cautious when it came to their own diagnosis or treatment. Additionally, concerns such as health professional (HP) displacement and job loss, data security, and deterioration of the HP-patient relationship emerged.  Conclusions:  US attitudes toward AI in healthcare reflect a mix of positive and negative feelings, stemming from broader societal concerns about the rapid integration of AI into the sector. Taking these concerns into account will narrow the gap between US perceptions of AI and encourage the use of this technology to improve patient outcomes.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[estudiantes universitarios]]></kwd>
<kwd lng="es"><![CDATA[atención sanitaria]]></kwd>
<kwd lng="en"><![CDATA[Artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[university students]]></kwd>
<kwd lng="en"><![CDATA[healthcare]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bellini]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Cascella]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Cutugno]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Russo]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Lanza]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Compagnone]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Understanding basic principles of artificial intelligence: a practical guide for intensivists]]></article-title>
<source><![CDATA[Acta Biomed.]]></source>
<year>2022</year>
<volume>93</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>1-15</page-range></nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ramalingam]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Karunamurthy]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Amalraj Victoire]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Pavithra]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Impact of Artificial Intelligence on Healthcare: A Review of Current Applications and Future Possibilities]]></article-title>
<source><![CDATA[Quing: Int J Innov Res Sci Eng.]]></source>
<year>2023</year>
<volume>2</volume>
<page-range>37-49</page-range></nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Al Kuwaiti]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Nazer]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Al-Reedy]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Al-Shehri]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Al-Muhanna]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Subbarayalu]]></surname>
<given-names><![CDATA[AV.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A Review of the Role of Artificial Intelligence in Healthcare]]></article-title>
<source><![CDATA[J Pers Med.]]></source>
<year>2023</year>
<volume>13</volume>
<numero>951</numero>
<issue>951</issue>
<page-range>1-22</page-range></nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lauritzen]]></surname>
<given-names><![CDATA[AD.]]></given-names>
</name>
<name>
<surname><![CDATA[Rodríguez-Ruiz]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[von Euler-Chelpin]]></surname>
<given-names><![CDATA[MC.]]></given-names>
</name>
<name>
<surname><![CDATA[Lynge]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Vejborg]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Nielsen]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An Artificial Intelligence-based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload]]></article-title>
<source><![CDATA[Radiology]]></source>
<year>2022</year>
<volume>304</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>41-9</page-range></nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Menni]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Valdes]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Freidin]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Sudre]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Nguyen]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Drew]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Real-time tracking of self-reported symptoms to predict potential COVID-19]]></article-title>
<source><![CDATA[Nat Med.]]></source>
<year>2020</year>
<volume>26</volume>
<numero>7</numero>
<issue>7</issue>
<page-range>1037-40</page-range></nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kulkarni]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Seneviratne]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Baig]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Khan]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial Intelligence in Medicine: Where Are We Now?]]></article-title>
<source><![CDATA[Acad Radiol.]]></source>
<year>2020</year>
<volume>27</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>62-70</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Castagno]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Khalifa]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Perceptions of Artificial Intelligence Among Healthcare Staff: A Qualitative Survey Study]]></article-title>
<source><![CDATA[Front Artif Intell.]]></source>
<year>2020</year>
<volume>3</volume>
</nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Siau]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial intelligence (AI) Ethics: Ethics of AI and ethical AI]]></article-title>
<source><![CDATA[J Database Manag.]]></source>
<year>2020</year>
<volume>31</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>74-87</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tursunbayeva]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Renkema]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial intelligence in healthcare: implications for the job design of healthcare professionals]]></article-title>
<source><![CDATA[Asia Pac J Hum Rescour.]]></source>
<year>2023</year>
<volume>61</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>845-87</page-range></nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Longoni]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Bonezzi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Morewedge]]></surname>
<given-names><![CDATA[CK.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Resistance to Medical Artificial Intelligence]]></article-title>
<source><![CDATA[J Consum Res.]]></source>
<year>2019</year>
<volume>46</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>629-50</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yokoi]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Eguchi]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Fujita]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Nakayachi]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial Intelligence Is Trusted Less than a Doctor in Medical Treatment Decisions: Influence of Perceived Care and Value Similarity]]></article-title>
<source><![CDATA[Int J Hum Comput Interact.]]></source>
<year>2021</year>
<volume>37</volume>
<numero>10</numero>
<issue>10</issue>
<page-range>981-90</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lennartz]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Dratsch]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Zopfs]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Persigehl]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Maintz]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Große Hokamp]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Use and Control of Artificial Intelligence in Patients Across the Medical Workflow: Single-Center Questionnaire Study of Patient Perspectives]]></article-title>
<source><![CDATA[J Med Internet Res.]]></source>
<year>2021</year>
<volume>23</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[McCradden]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Sarker]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Paprica]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Conditionally positive: A qualitative study of public perceptions about using health data for artificial intelligence research]]></article-title>
<source><![CDATA[BMJ Open]]></source>
<year>2020</year>
<volume>10</volume>
</nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mehta]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Harish]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Bilimoria]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Morgado]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Ginsburg]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Law]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Knowledge and Attitudes on Artificial Intelligence in Healthcare: A Provincial Survey Study of Medical Students]]></article-title>
<source><![CDATA[MedEdPublish.]]></source>
<year>2021</year>
<volume>10</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gong]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Nugent]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Guest]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Parker]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Chang]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Khosa]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Influence of Artificial Intelligence on Canadian Medical Students&#8217; Preference for Radiology Specialty: A National Survey Study]]></article-title>
<source><![CDATA[Acad Radiol.]]></source>
<year>2019</year>
<volume>26</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>566-77</page-range></nlm-citation>
</ref>
<ref id="B16">
<label>16</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kimiafar]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Sarbaz]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Tabatabaei]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Ghaddaripouri]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Mousavi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Raei]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial intelligence literacy among healthcare professionals and students: A systematic review]]></article-title>
<source><![CDATA[Front Health Inform.]]></source>
<year>2023</year>
<volume>12</volume>
<numero>168</numero>
<issue>168</issue>
<page-range>1-11</page-range></nlm-citation>
</ref>
<ref id="B17">
<label>17</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Melton]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Bigham]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Bland]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Bird]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Fairman]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Health-related behaviors and technology usage among college students]]></article-title>
<source><![CDATA[Am J Health Behav.]]></source>
<year>2014</year>
<volume>38</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>510-8</page-range></nlm-citation>
</ref>
<ref id="B18">
<label>18</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fritsch]]></surname>
<given-names><![CDATA[SJ.]]></given-names>
</name>
<name>
<surname><![CDATA[Blankenheim]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Wahl]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Hetfeld]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Maassen]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Deffge]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients]]></article-title>
<source><![CDATA[Digit Health]]></source>
<year>2022</year>
<page-range>8</page-range></nlm-citation>
</ref>
<ref id="B19">
<label>19</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Boore]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Translation and back-translation in qualitative nursing research: Methodological review]]></article-title>
<source><![CDATA[J Clin Nurs.]]></source>
<year>2010</year>
<volume>19</volume>
<numero>1-2</numero>
<issue>1-2</issue>
<page-range>234-9</page-range></nlm-citation>
</ref>
<ref id="B20">
<label>20</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Temel]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Isik]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Generational Differences &#304;n Digital Age A Research On Technology Experiences Of Generations]]></article-title>
<source><![CDATA[Int J Sci Tech Res.]]></source>
<year>2020</year>
<volume>9</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>3150-4</page-range></nlm-citation>
</ref>
<ref id="B21">
<label>21</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Guze]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[USING TECHNOLOGY TO MEET THE CHALLENGES OF MEDICAL EDUCATION]]></article-title>
<source><![CDATA[Trans Am Clin Climatol Assoc.]]></source>
<year>2015</year>
<volume>126</volume>
<page-range>1-11</page-range><publisher-name><![CDATA[PMID]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B22">
<label>22</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Taherdoost]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[What Is the Best Response Scale for Survey and Questionnaire Design; Review of Different Lengths of Rating Scale / Attitude Scale / Likert Scale]]></article-title>
<source><![CDATA[Int J Acad Res Manag.]]></source>
<year>2019</year>
<volume>8</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>2296-1747</page-range></nlm-citation>
</ref>
<ref id="B23">
<label>23</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cooper]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Johnson]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[How to use survey results]]></article-title>
<source><![CDATA[J Med Libr Assoc.]]></source>
<year>2016</year>
<volume>104</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>174-7</page-range></nlm-citation>
</ref>
<ref id="B24">
<label>24</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Topol]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[High-performance medicine: the convergence of human and artificial intelligence]]></article-title>
<source><![CDATA[Nat Med.]]></source>
<year>2019</year>
<volume>25</volume>
<page-range>44-56</page-range></nlm-citation>
</ref>
<ref id="B25">
<label>25</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhou]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Higher Expectations of Artificial Intelligence in Terms of Morality and Humanity]]></article-title>
<source><![CDATA[I Educ Humanit Soc Sci.]]></source>
<year>2023</year>
<volume>20</volume>
<page-range>279-84</page-range></nlm-citation>
</ref>
<ref id="B26">
<label>26</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Ethical Considerations in Artificial Intelligence: A Comprehensive Discussion from the Perspective of Computer Vision]]></article-title>
<source><![CDATA[SHS Web of Conferences]]></source>
<year>2023</year>
<volume>179</volume>
<page-range>04024</page-range></nlm-citation>
</ref>
<ref id="B27">
<label>27</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Côrte-Real]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Cordeiro]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Câmara Pestana]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Duarte eSilva]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Novais]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Addictive Potential of Social Media: A Cross Sectional Study in Portugal]]></article-title>
<source><![CDATA[Acta Med Port.]]></source>
<year>2022</year>
<volume>36</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>162-6</page-range></nlm-citation>
</ref>
<ref id="B28">
<label>28</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Koohang]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Nord]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Floyd]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Paliszkiewicz]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Social media privacy and security concerns: Trust and awareness]]></article-title>
<source><![CDATA[I Inform Syst.]]></source>
<year>2022</year>
<volume>23</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>253-64</page-range></nlm-citation>
</ref>
<ref id="B29">
<label>29</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Corona-Nakamura]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[González-Madrigal]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[La perspectiva ética y jurídica de la Inteligencia Artificial en México]]></article-title>
<source><![CDATA[Misión Jurídica]]></source>
<year>2023</year>
<volume>16</volume>
<numero>25</numero>
<issue>25</issue>
<page-range>200-14</page-range></nlm-citation>
</ref>
<ref id="B30">
<label>30</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Demerouti]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Turn Digitalization and Automation to a Job Resource]]></article-title>
<source><![CDATA[Appl Psychol.]]></source>
<year>2022</year>
<volume>71</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>1205-9</page-range></nlm-citation>
</ref>
<ref id="B31">
<label>31</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lomis]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Jeffries]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Sage]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Sheik]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Sheperies]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Whelan]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial Intelligence for Health Professions Educators]]></article-title>
<source><![CDATA[NAM Perspect.]]></source>
<year>2021</year>
<page-range>1-14</page-range></nlm-citation>
</ref>
<ref id="B32">
<label>32</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Connell]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Carlton]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Grundy]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Taylor Buck]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Keetharuth]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Ricketts]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The importance of content and face validity in instrument development: lessons learnt from service users when developing the Recovering Quality of Life measure (ReQoL)]]></article-title>
<source><![CDATA[Qual Life Res.]]></source>
<year>2018</year>
<volume>27</volume>
<numero>7</numero>
<issue>7</issue>
<page-range>1893-902</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
