Educación médica e inteligencia artificial: perspectivas y desafíos éticos.
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| Title: | Educación médica e inteligencia artificial: perspectivas y desafíos éticos. |
|---|---|
| Alternate Title: | Medical education and artificial intelligence: perspectives and ethical challenges. |
| Authors: | Chávez-Martínez, Omar1 omar.chavezm@imss.gob.mx, Adriano Ragacini, Leonardo2 |
| Source: | Revista Medica del IMSS. sep/oct2025, Vol. 63 Issue 5, p1-14. 14p. |
| Subjects: | ARTIFICIAL intelligence, MEDICAL education, ETHICAL problems, MEDICAL simulation, INDIVIDUALIZED instruction, DATA privacy, MISINFORMATION, INFORMATION resources management |
| Abstract (English): | Artificial intelligence (AI) drives innovation in medical education by enabling personalized learning, instant feedback, and clinical simulations. However, it raises concerns such as loss of human skills, misinformation, and ethical issues. ChatGPT has gained prominence for its natural language generation capabilities, despite lacking real understanding. The aim of this article was to analyze the use of AI, particularly ChatGPT, in medical education, identifying its benefits, limitations, and ethical implications, which is why a qualitative integrative review was conducted through a systematic search in PubMed (2020-2025), using MeSH descriptors related to artificial intelligence and medical education. A total of 37 open-access, full-text articles in English were included. The information was analyzed and synthesized using a thematic approach, organized into 4 categories: pedagogical applications, benefits, challenges, and ethical recommendations, thanks to which we had these results: AI supports clinical simulations, personalized learning, and equitable access. Benefits include enhanced clinical reasoning and autonomous learning. Challenges remain, such as bias, data privacy, and misinformation. Five pillars for integration are proposed, along with a professional classification into consumers, translators, and developers. Digital curation emerges as a key element to ensure quality and reliability. We conclude that AI can transform medical education if implemented ethically, critically, and with a human-centered approach. [ABSTRACT FROM AUTHOR] |
| Abstract (Spanish): | La inteligencia artificial (IA) impulsa la innovación en la educación médica al facilitar aprendizaje personalizado, retroalimentación inmediata y simulaciones clínicas. No obstante, plantea riesgos como la pérdida de habilidades humanas, desinformación y problemas éticos. ChatGPT ha ganado protagonismo por su capacidad de generar texto, aunque sin comprensión real. En el presente artículo se buscó analizar el uso de la IA, con énfasis en ChatGPT, en la formación médica, para identificar beneficios, limitaciones e implicaciones éticas, por lo cual se hizo una revisión integrativa cualitativa con búsqueda sistemática en PubMed (2020-2025), utilizando descriptores MeSH relacionados con inteligencia artificial y educación médica. Se incluyeron 37 artículos en inglés, de acceso abierto y texto completo. La información fue analizada y sintetizada mediante un enfoque temático, organizado en 4 ejes: aplicaciones pedagógicas, beneficios, desafíos y recomendaciones éticas, gracias a lo cual tuvimos los siguientes resultados: la IA apoya la simulación clínica, personalización del aprendizaje y acceso equitativo. Se destacan beneficios como el razonamiento clínico y el aprendizaje autónomo. Persisten desafíos, como sesgos, privacidad y desinformación. Se proponen 5 pilares para su integración y una clasificación profesional en consumidores, traductores y desarrolladores. La curaduría digital surge como eje clave para garantizar calidad y confiabilidad. Concluímos que la IA puede transformar la educación médica si se implementa con ética, supervisión y un enfoque humanista. [ABSTRACT FROM AUTHOR] |
| Copyright of Revista Medica del IMSS is the property of Direccion de Prestaciones Medicas - IMSS and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | MedicLatina |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: lth DbLabel: MedicLatina An: 188140030 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Educación médica e inteligencia artificial: perspectivas y desafíos éticos. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Medical education and artificial intelligence: perspectives and ethical challenges. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chávez-Martínez%2C+Omar%22">Chávez-Martínez, Omar</searchLink><relatesTo>1</relatesTo><i> omar.chavezm@imss.gob.mx</i><br /><searchLink fieldCode="AR" term="%22Adriano+Ragacini%2C+Leonardo%22">Adriano Ragacini, Leonardo</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Revista+Medica+del+IMSS%22">Revista Medica del IMSS</searchLink>. sep/oct2025, Vol. 63 Issue 5, p1-14. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22ARTIFICIAL+intelligence%22">ARTIFICIAL intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22MEDICAL+education%22">MEDICAL education</searchLink><br /><searchLink fieldCode="DE" term="%22ETHICAL+problems%22">ETHICAL problems</searchLink><br /><searchLink fieldCode="DE" term="%22MEDICAL+simulation%22">MEDICAL simulation</searchLink><br /><searchLink fieldCode="DE" term="%22INDIVIDUALIZED+instruction%22">INDIVIDUALIZED instruction</searchLink><br /><searchLink fieldCode="DE" term="%22DATA+privacy%22">DATA privacy</searchLink><br /><searchLink fieldCode="DE" term="%22MISINFORMATION%22">MISINFORMATION</searchLink><br /><searchLink fieldCode="DE" term="%22INFORMATION+resources+management%22">INFORMATION resources management</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: Artificial intelligence (AI) drives innovation in medical education by enabling personalized learning, instant feedback, and clinical simulations. However, it raises concerns such as loss of human skills, misinformation, and ethical issues. ChatGPT has gained prominence for its natural language generation capabilities, despite lacking real understanding. The aim of this article was to analyze the use of AI, particularly ChatGPT, in medical education, identifying its benefits, limitations, and ethical implications, which is why a qualitative integrative review was conducted through a systematic search in PubMed (2020-2025), using MeSH descriptors related to artificial intelligence and medical education. A total of 37 open-access, full-text articles in English were included. The information was analyzed and synthesized using a thematic approach, organized into 4 categories: pedagogical applications, benefits, challenges, and ethical recommendations, thanks to which we had these results: AI supports clinical simulations, personalized learning, and equitable access. Benefits include enhanced clinical reasoning and autonomous learning. Challenges remain, such as bias, data privacy, and misinformation. Five pillars for integration are proposed, along with a professional classification into consumers, translators, and developers. Digital curation emerges as a key element to ensure quality and reliability. We conclude that AI can transform medical education if implemented ethically, critically, and with a human-centered approach. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Abstract (Spanish) Group: Ab Data: La inteligencia artificial (IA) impulsa la innovación en la educación médica al facilitar aprendizaje personalizado, retroalimentación inmediata y simulaciones clínicas. No obstante, plantea riesgos como la pérdida de habilidades humanas, desinformación y problemas éticos. ChatGPT ha ganado protagonismo por su capacidad de generar texto, aunque sin comprensión real. En el presente artículo se buscó analizar el uso de la IA, con énfasis en ChatGPT, en la formación médica, para identificar beneficios, limitaciones e implicaciones éticas, por lo cual se hizo una revisión integrativa cualitativa con búsqueda sistemática en PubMed (2020-2025), utilizando descriptores MeSH relacionados con inteligencia artificial y educación médica. Se incluyeron 37 artículos en inglés, de acceso abierto y texto completo. La información fue analizada y sintetizada mediante un enfoque temático, organizado en 4 ejes: aplicaciones pedagógicas, beneficios, desafíos y recomendaciones éticas, gracias a lo cual tuvimos los siguientes resultados: la IA apoya la simulación clínica, personalización del aprendizaje y acceso equitativo. Se destacan beneficios como el razonamiento clínico y el aprendizaje autónomo. Persisten desafíos, como sesgos, privacidad y desinformación. Se proponen 5 pilares para su integración y una clasificación profesional en consumidores, traductores y desarrolladores. La curaduría digital surge como eje clave para garantizar calidad y confiabilidad. Concluímos que la IA puede transformar la educación médica si se implementa con ética, supervisión y un enfoque humanista. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Revista Medica del IMSS is the property of Direccion de Prestaciones Medicas - IMSS and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5281/zenodo.16748310 Languages: – Code: spa Text: Spanish PhysicalDescription: Pagination: PageCount: 14 StartPage: 1 Subjects: – SubjectFull: ARTIFICIAL intelligence Type: general – SubjectFull: MEDICAL education Type: general – SubjectFull: ETHICAL problems Type: general – SubjectFull: MEDICAL simulation Type: general – SubjectFull: INDIVIDUALIZED instruction Type: general – SubjectFull: DATA privacy Type: general – SubjectFull: MISINFORMATION Type: general – SubjectFull: INFORMATION resources management Type: general Titles: – TitleFull: Educación médica e inteligencia artificial: perspectivas y desafíos éticos. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chávez-Martínez, Omar – PersonEntity: Name: NameFull: Adriano Ragacini, Leonardo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: sep/oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 04435117 Numbering: – Type: volume Value: 63 – Type: issue Value: 5 Titles: – TitleFull: Revista Medica del IMSS Type: main |
| ResultId | 1 |
