Transformation of university health education through artificial intelligence
DOI:
https://doi.org/10.62452/6chfdw81Keywords:
Artificial intelligence, university education, transformationAbstract
Artificial Intelligence is presented as a tool to improve medical care and reduce the workload of health professionals. Although it offers faster diagnoses and personalized treatments, its rapid evolution creates ethical and educational challenges in medical training. The work highlights the importance of structured education and interdisciplinary collaboration to successfully integrate AI into the training of healthcare professionals, recognizing this transition as a crucial opportunity to improve higher education in this ever-changing field. The project focuses on a detailed review of the literature on changes in university health education through information and communication technologies. It uses key ideas from relevant authors and recent studies for comprehensive analysis. AI stands out as a transformative tool in healthcare, promising improvements in clinical outcomes and efficiency, alleviating workload. Its integration into medical education offers opportunities for personalization of learning, practical skills, and access to quality educational content, although it poses ethical and professional challenges, such as information accuracy and data privacy. Addressing these challenges is crucial to ensure ethical and responsible use of AI in medical training, maximizing its benefits and minimizing the risks.
Downloads
References
Armesto, M., Vallejos, R., & Valdivia, E. (2021). Revisión sistemática sobre la educación remota universitaria latinoamericana en pandemia. 3C TIC: Cuadernos de desarrollo aplicados a las TIC, 10(4), 63-87. https://doi.org/10.17993/3ctic.2021.104.63-87
Bates, T., Cobo, C., Mariño, O., & Wheeler, S. (2020). Can artificial intelligence transform higher education? International Journal of Educational Technology in Higher Education, 17(1). https://doi.org/10.1186/s41239-020-00218-x
Carrasco, J., García, E., Sánchez, D., Porter, E., De La Puente, L., Navarro, J., & Cerame, A. (2023). ¿Es capaz “ChatGPT” de aprobar el examen MIR de 2022? Implicaciones de la inteligencia artificial en la educación medica en España. Revista Española de Educación Médica, 4(1). https://doi.org/10.6018/edumed.556511
Chá, M. (2020). Historia clínica electrónica: factores de resistencia para su uso por parte de los médicos. Revista Médica del Uruguay, 36(2), 122-143. https://doi.org/10.29193/rmu.36.2.6
Chan, K. S., & Zary, N. (2019). Applications and challenges of implementing artificial intelligence in medical education: Integrative review. JMIR Medical Education, 5(1). https://doi.org/10.2196/13930
Civaner, M. M., Uncu, Y., Bulut, F., Chalil, E. G., & Tatli, A. (2022). Artificial intelligence in medical education: A cross-sectional needs assessment. BMC Medical Education, 22(1). https://doi.org/10.1186/s12909-022-03852-3
Cominelli, L., Mazzei, D. and De Rossi, D.E. (2018) ‘SEAI: Social Emotional Artificial Intelligence Based on Damasio’s Theory of Mind’, Frontiers in Robotics and AI, 5. https://www.frontiersin.org/articles/10.3389/frobt.2018.00006
Hernández, R., Rodríguez-Fuentes, A., & Roselli, N. (2019). Integración de las TIC a la educación: Una mirada desde el aula universitaria. HAMUT'AY, 6(3). https://doi.org/10.21503/hamu.v6i3.1839
Huerta, S., & Zavala, J. (2022). Inteligencia artificial y la educación virtual, una legislación necesaria. Tendencias en la investigación universitaria. Una visión desde Latinoamérica, 18, 163-178. https://doi.org/10.47212/tendencias2022vol.xviii.11
Lanzagorta-Ortega, D., Carrillo-Pérez, D. L., & Carrillo-Esper, R. (2022). Inteligencia artificial en medicina: presente y futuro. Gaceta Médica de México, 158(1), 17-21. https://doi.org/10.24875/GMM.M22000688
Lee, J., Wu, A. S., Li, D., & Kulasegaram, K. M. (2021). Artificial Intelligence in Undergraduate Medical Education: A Scoping Review. Academic Medicine, 96(11S), 62-70. https://doi.org/10.1097/ACM.0000000000004291
Macías, Y. (2022). La tecnología y la Inteligencia Artificial en el sistema educativo. (Tesis Doctoral). Universitat Jaume I.
Mayol, J. (2023). Inteligencia artificial generativa y educación médica. Educación Médica, 24(4). https://doi.org/10.1016/j.edumed.2023.100851
Moreno, R. D. (2019). La llegada de la inteligencia artificial a la educación. Revista de Investigación en Tecnologías de la Información, 7(14), 260-270. https://doi.org/10.36825/riti.07.14.022
Mosch, L., Agha-Mir-Salim, L., Sarica, M. M., Balzer, F., & Poncette, A. S. (2022). Artificial Intelligence in Undergraduate Medical Education. Studies in Health Technology and Informatics, 294, 821-822. https://doi.org/10.3233/SHTI220597
Muñoz, M. (2020). Políticas educativas e incorporación de las TIC en la educación superior mexicana. Revista Digital Universitaria, 21(6). https://doi.org/10.22201/cuaieed.16076079e.2020.21.6.13
Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura. (2023). Oportunidades y desafíos de la era de la inteligencia artificial para la educación superior. Una introducción para los actores de la educación superior. https://unesdoc.unesco.org/ark:/48223/pf0000386670_spa
Razzak, M. I., Imran, M., & Xu, G. (2020). Big data analytics for preventive medicine. Neural Computing and Applications, 32(9), 4417-4451. https://doi.org/10.1007/s00521-019-04095-y
Tekkeşin, A. I. (2019). Artificial Intelligence in Healthcare: Past, Present and Future. Anatolian Journal of Cardiology, 22(S2), 8-9. https://doi.org/10.14744/AnatolJCardiol.2019.28661
Vincent-Lancrin, S., & Van der Vlies, R. (2020) ‘Trustworthyartificial intelligence (AI) in education: Promises and challenges’, OECD Education Working Papers, 218. https://doi.org/10.1787/19939019.
Wang, F., & Preininger, A. (2019). AI in Health: State of the Art, Challenges, and Future Directions. Yearbook of Medical Informatics, 28(1), 16-26. https://doi.org/10.1055/s-0039-1677908
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Ángel Esteban Torres-Zapata, Teresa del Jesús Brito-Cruz, Juan Eduardo Moguel-Ceballos, Addy Leticia Zarza-García (Autor/a)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The authors retain the copyright, granting the Journal the right to first publication of the work. The authors assign the Journal the rights to exploit the work, authorizing its distribution and public communication for non-commercial purposes. The authors retain the moral rights to the published work. The economic rights belong to the Journal.