Embracing the Future of Medical Education With Large Language Model-Based Virtual Patients: Scoping Review.

ABSTRACT:

Background

In recent years, large language models (LLMs) have experienced rapid development. LLM-based virtual patients have begun to gain attention, offering new opportunities for simulations in medical education.

Objective

This study aims to systematically analyze the current applications, research trends, and challenges of LLM-based virtual patients in medical education and to explore potential future directions for development.

Methods

This study adheres to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. Five databases (Web of Science Core Collection, PubMed, IEEE Xplore, Embase, and Scopus) were searched from January 1, 2018, to June 24, 2025, to identify studies related to the applicat

SUBMITTER: Zeng J 

PROVIDER: S-EPMC12661241 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature