Innovation and high-fidelity simulation in surgical teaching: further insights.

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Keywords: Aprendizaje de competencias quirúrgicas, Inteligencia artificial, Simulación clínica

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References

Vade Martínez AJ, González del Valle LD, López Figueroa MA, López-Durán A. Modelos anatómicos e instancias simuladas para el aprendizaje de competencias quirúrgicas de los estudiantes de medicina de pre y postgrado: una revisión sistemática. Rev Esp Educ Med. 2025, 43(1), 1-15. https://revistas.um.es/edumed/article/view/638611

Valente DS, Brasil LJ, Spinelli LF, Vilela MA, Rhoden EL. A narrative review of transforming surgical education with artificial intelligence: opportunities and challenges. AME Surg J. 2025, 5(1), 1–12. https://asj.amegroups.org/article/view/97081/html

Wu L, Seibold M, Cavalcanti NA, Hein J, Gerth T, Lekar R, Hoch A, Vlachopoulos L, Grabner H, Zingg P, Farshad M, Fürnstahl P. A novel augmented reality-based simulator for enhancing orthopedic surgical training. Comput Biol Med. 2025, 185, 109536. https://doi.org/10.1016/j.compbiomed.2024.109536

Park JJ, Tiefenbach J, Demetriades AK. The role of artificial intelligence in surgical simulation. Front Med Technol. 2022, 4, 1076755. https://doi.org/10.3389/fmedt.2022.1076755

Shahrezaei A, Sohani M, Taherkhani S, et al. The impact of surgical simulation and training technologies on general surgery education. BMC Med Educ. 2024, 24(1), 1297. https://doi.org/10.1186/s12909-024-06299-w

Published
20-10-2025
How to Cite
Soasty Vera, M. R. (2025). Innovation and high-fidelity simulation in surgical teaching: further insights. Spanish Journal of Medical Education, 6(5). Retrieved from https://revistas.um.es/edumed/article/view/684141