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 review adhered to the framework of Arksey and O'Malley. A literature search was conducted in April 2024 on PubMed, Scopus, Web of Science Core Collection, ERIC, and Google Scholar using the terms "UGME", "medical students", "AI", "NLP", "ML", "ChatGPT", and "LLM", and included publications that appeared from January 2020 to April 2024. The inclusion criteria were UGME and AI-related topics. The exclusion criteria were postgraduate education, continuing medical education, and non-AI techno

SUBMITTER: Simoni J 

PROVIDER: S-EPMC12625756 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature