No. 33 (2025): Oct - Dec
Postgraduate Education

Medical education – types of curricula and challenges of AI

Teresa Figueiredo
Médica Radiologista, Professora Auxiliar da Faculdade de Medicina da UALG

Published 04/11/2026

Keywords

  • Medical education,
  • Based Learning,
  • Problem Based Learning Method

How to Cite

1.
Figueiredo T. Medical education – types of curricula and challenges of AI. Alg Med [Internet]. 2026 Apr. 11 [cited 2026 Apr. 18];(33):6-11. Available from: https://algarvemedico.org/index.php/am/article/view/24

Abstract

O ensino médico no século XXI enfrenta uma transformação profunda, impulsionada por mudanças demográficas, tecnológicas e culturais, exigindo modelos formativos mais flexíveis, centrados no estudante e orientados por competências. A integração da inteligência artificial (IA) surge como eixo adicional dessa mudança, com potencial para personalizar a aprendizagem e qualificar competências clínicas, mas também com riscos pedagógicos, éticos e de desumanização que precisam ser cuidadosamente regulados.

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References

  1. Gruppen LD, Burkhardt JC, Fitzgerald JT, et al. Competency based education: programme design and challenges to implementation. Med Educ. 2016;50(5):532 9.
  2. Wartman SA, Combs CD. Medical education must move from the information age to the age of artificial intelligence. Acad Med. 2018;93(8):1107 9.
  3. Chan KS, Zary N. Applications and challenges of implementing artificial intelligence in medical education: integrative review. JMIR Med Educ. 2019;5(1):e13930.
  4. Park YS, Konge L, Artino AR Jr. The positivism paradigm of research. Acad Med. 2020;95(5):690 4.
  5. Masters K, Ellaway R, Topps D, Archibald D, Hogue RJ. Mobile technologies in medical education: AMEE Guide No. 105. Med Teach. 2016;38(6):537 49.
  6. Lucey CR, Johnston SC. The transformational effects of COVID 19 on medical education. JAMA. 2020;324(11):1033 4.
  7. Rawson KA, Dunlosky J, McDaniel MA, Bjork RA, Hughes A. Using evidence- based learning strategies to improve medical education. Med Sci Educ. 2023;33(3):911 21
  8. Hunderfund ANL, Dyrbye LN, Starr SR, Mandrekar JN, Tilburt JC, Starr SR, et al. Methods of teaching evidence- based practice: a systematic review. BMC Med Educ. 2022;22(1):742. doi:10.1186/s12909-022-03812-x
  9. Albarqouni L, Hoffmann T, Glasziou P, et al. Methods for teaching evidence- based practice: a scoping review. BMC Med Educ. 2019;19(1):267
  10. Flores N, et al. Enhancing clinical education: evidence- based strategies. Eur Sci Med Dent. 2025; (artigo online first)
  11. Silva J, et al. Active methodologies and didactic techniques in medical education. Med Teach. 2025;
  12. Besche HC, King RW, Shafer KM, Fleet SE, Charles JF, Kaplan TB, et al. Effective and engaging active learning in the medical school classroom: lessons from Case- Based Collaborative Learning. J Med Educ Curric Dev. 2025;12:1 10
  13. Shafer KM, Pusic MV, Halpern SD, et al. The Case- Based Collaborative Learning peer observation tool. MedEDPORTAL. 2017;13:10583
  14. Besche HC, et al. A step- by- step guide to Case- Based Collaborative Learning (CBCL). Harvard Medical School; 2025. Disponível em: https://www.academia.edu/ (acesso on line 12.02.2026)
  15. Martin- Gonzalez R, et al. Perception of medical students on the use of Case- Based Collaborative Learning in a human physiology course. Clin Teach. 2024;
  16. Knopp R, Liu X, Patel R, et al. Integrating artificial intelligence into medical education: a roadmap for curricular innovation. Med Teach. 2025;47(7):e1234 42. doi:10.1080/10872981.2025.2531177
  17. Ahsan Z. Integrating artificial intelligence into medical education: a narrative review. BMC Med Educ. 2025;25(1):1187. doi:10.1186/s12909-025-07744-0
  18. Taylor JJ, Wong R, Osei- Tutu K, et al. AIFM- ed curriculum framework for postgraduate family medicine education: integrating artificial intelligence competencies. JMIR Med Educ. 2025;11(1):e66828
  19. Zhang Y, et al. Artificial intelligence in undergraduate medical education. Med Educ. 2025;59(11):1234 45
  20. Singh P, et al. Integrating generative artificial intelligence into medical education. Acad Med. 2025;100(4):567 73
  21. Miller DD, Patel VL, et al. AI- PACE: a framework for integrating AI into medical education. arXiv [preprint]. 2026 Feb 10. arXiv:2602.10527