The ethical challenges in the integration of artificial intelligence and large language models in medical education: A scoping review.

ABSTRACT: With the rapid development of artificial intelligence (AI), large language models (LLMs), such as ChatGPT have shown potential in medical education, offering personalized learning experiences. However, this integration raises ethical concerns, including privacy, autonomy, and transparency. This study employed a scoping review methodology, systematically searching relevant literature published between January 2010 and August 31, 2024, across three major databases: PubMed, Embase, and Web of Science. Through rigorous screening, 50 articles which met inclusion criteria were ultimately selected from an initial pool of 1,192 records. During data processing, the Kimi AI tool was utilized to facilitate preliminary literature screening, extraction of key information, and construction of content fr

SUBMITTER: Li X 

PROVIDER: S-EPMC12543126 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature