dor_id: 4161383

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Investigación en Educación Médica", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Consejo Nacional de Ciencia y Tecnología (CONACyT); Periódica, Scientific Electronic Library Online (SciELO); Banco de Datos sobre Educación (Iresie); La Red de Revistas Científicas de América Latina y el Caribe, España y Portugal (RedALyC); Imbiomed

561.#.#.u: http://www.facmed.unam.mx/

650.#.4.x: Medicina y Ciencias de la Salud

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: http://riem.facmed.unam.mx/index.php/riem

351.#.#.b: Investigación en Educación Médica

351.#.#.a: Artículos

harvesting_group: RevistasUNAM.72

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://riem.facmed.unam.mx/index.php/riem/article/view/1676/1637

100.1.#.a: Aguirre Flórez, Mateo; Gómez González, José Fernando; Jiménez Osorio, Laura Alejandra; Moreno Gómez, Mateo; Moreno Gómez, Juanita; Rojas Paguanquiza, Karla Liseth; Rojas Paguanquiza, Donald Jehison; Quintero Cabrera, Yuly Mabel; Pantoja Chazatar, Lency Yurani; Moreno Gómez, Germán Alberto

524.#.#.a: Aguirre Flórez, Mateo, et al. (2025). Uso de la inteligencia artificial en la educación médica: ¿herramienta o amenaza? Revisión de alcance. Investigación en Educación Médica; Vol. 14 Núm. 53, 2025; 90-106. Recuperado de https://repositorio.unam.mx/contenidos/4161383

245.1.0.a: Uso de la inteligencia artificial en la educación médica: ¿herramienta o amenaza? Revisión de alcance

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Facultad de Medicina, UNAM

264.#.0.c: 2025

264.#.1.c: 2025-01-05

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-ND 4.0 Internacional, https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico revistainvestedu@gmail.com

884.#.#.k: https://riem.facmed.unam.mx/index.php/riem/article/view/1676

001.#.#.#: 072.oai:ojs2.132.248.204.81:article/1676

041.#.7.h: spa

520.3.#.a: Introduction:Artificial intelligence (AI) has garnered considerable attention among emerging technologies. AI refers to machines’ ability to learn and make autonomous decisions, resembling human intelligence. In training healthcare professionals, AI shows the potential to enhance teaching and learning. Objective:To analyze the applications of AI in physician training, including its benefits, limitations, and ethical and social implications. Method:A search was conducted in electronic databases such as PubMed, EMBASE, Web of Science, and Google Scholar, using MeSH terms and Boolean operators to refine studies. The selected studies were analyzed and synthesized to identify the main applications of AI in medical training and the associated benefits and limitations. Results:Multiple AI applications in medical education were identified, such as personalized learning, immediate feedback, and easy access to information. Benefits include increased efficiency and learning effectiveness. On the other hand, ethical considerations and precautions include potential bias, data privacy and security, over-reliance on technology, and impacts on the physician-patient relationship. Conclusion:AI offers significant advantages for physician training, improving the quality of education and timely patient treatment. However, it is important to consider its implications. Proper implementation of AI can leverage its benefits while mitigating its risks. Physicians must be prepared to use AI responsibly, balancing technology with humanistic care.

773.1.#.t: Investigación en Educación Médica; Vol. 14 Núm. 53 (2025); 90-106

773.1.#.o: http://riem.facmed.unam.mx/index.php/riem

022.#.#.a: ISSN electrónico: 2007-5057; ISSN impreso: 2007-865X

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300.#.#.a: Páginas: 90-106

599.#.#.a: 72

264.#.1.b: Facultad de Medicina, UNAM

doi: https://doi.org/10.22201/fm.20075057e.2025.53.24659

harvesting_date: 2025-01-07 00:00:00.0

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245.1.0.b: Use of artificial intelligence in medical education: tool or threat? Scoping review

last_modified: 2025-01-07 00:00:00

license_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.es

license_type: by-nc-nd

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Artículo

Uso de la inteligencia artificial en la educación médica: ¿herramienta o amenaza? Revisión de alcance

Aguirre Flórez, Mateo; Gómez González, José Fernando; Jiménez Osorio, Laura Alejandra; Moreno Gómez, Mateo; Moreno Gómez, Juanita; Rojas Paguanquiza, Karla Liseth; Rojas Paguanquiza, Donald Jehison; Quintero Cabrera, Yuly Mabel; Pantoja Chazatar, Lency Yurani; Moreno Gómez, Germán Alberto

Facultad de Medicina, UNAM, publicado en Investigación en Educación Médica, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Cita

Aguirre Flórez, Mateo, et al. (2025). Uso de la inteligencia artificial en la educación médica: ¿herramienta o amenaza? Revisión de alcance. Investigación en Educación Médica; Vol. 14 Núm. 53, 2025; 90-106. Recuperado de https://repositorio.unam.mx/contenidos/4161383

Descripción del recurso

Autor(es)
Aguirre Flórez, Mateo; Gómez González, José Fernando; Jiménez Osorio, Laura Alejandra; Moreno Gómez, Mateo; Moreno Gómez, Juanita; Rojas Paguanquiza, Karla Liseth; Rojas Paguanquiza, Donald Jehison; Quintero Cabrera, Yuly Mabel; Pantoja Chazatar, Lency Yurani; Moreno Gómez, Germán Alberto
Tipo
Artículo de Investigación
Área del conocimiento
Medicina y Ciencias de la Salud
Título
Uso de la inteligencia artificial en la educación médica: ¿herramienta o amenaza? Revisión de alcance
Fecha
2025-01-05
Resumen
Introduction:Artificial intelligence (AI) has garnered considerable attention among emerging technologies. AI refers to machines’ ability to learn and make autonomous decisions, resembling human intelligence. In training healthcare professionals, AI shows the potential to enhance teaching and learning. Objective:To analyze the applications of AI in physician training, including its benefits, limitations, and ethical and social implications. Method:A search was conducted in electronic databases such as PubMed, EMBASE, Web of Science, and Google Scholar, using MeSH terms and Boolean operators to refine studies. The selected studies were analyzed and synthesized to identify the main applications of AI in medical training and the associated benefits and limitations. Results:Multiple AI applications in medical education were identified, such as personalized learning, immediate feedback, and easy access to information. Benefits include increased efficiency and learning effectiveness. On the other hand, ethical considerations and precautions include potential bias, data privacy and security, over-reliance on technology, and impacts on the physician-patient relationship. Conclusion:AI offers significant advantages for physician training, improving the quality of education and timely patient treatment. However, it is important to consider its implications. Proper implementation of AI can leverage its benefits while mitigating its risks. Physicians must be prepared to use AI responsibly, balancing technology with humanistic care.
Idioma
spa
ISSN
ISSN electrónico: 2007-5057; ISSN impreso: 2007-865X

Enlaces