Artificial intelligence in undergraduate medical education: an updated scoping review

Abstract Background The irrevocable alteration of medical education due to widespread access to large language models (LLMs) in 2022, and the concomitant surge in AI-related literature, has prompted us to update the evolving impact of AI on undergraduate medical education (UGME). Methods The scoping...

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Auteurs principaux:	Jennifer Simoni, Judith Urtubia-Fernandez, Elisa Mengual, Diglio A. Simoni, Montserrat Royo, Diego Egaña-Yin, Oliver L. A. Hertog, Lourdes López-Ortiz, Adrián Muñoz-Tomás, Paula Santiago-Martínez, Adrián Vahamaki, José Luis Pereira
Format:	Artigo
Langue:	Inglês
Publié:	BMC 2025-11-01
Collection:	BMC Medical Education
Sujets:	Artificial intelligence (AI) Undergraduate medical education (UGME) Large language models (LLMs) AI competencies Scoping review
Accès en ligne:	https://doi.org/10.1186/s12909-025-08188-2
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