Large language model usage guidelines in Korean medical journals: a survey using human-artificial intelligence collaboration.

ABSTRACT:

Background

Large language models (LLMs), the most recent advancements in artificial intelligence (AI), have profoundly affected academic publishing and raised important ethical and practical concerns. This study examined the prevalence and content of AI guidelines in Korean medical journals to assess the current landscape and inform future policy implementation.

Methods

The top 100 Korean medical journals determined by Hirsh index were surveyed. Author guidelines were collected and screened by a human researcher and AI chatbot to identify AI-related content. The key components of LLM policies were extracted and compared across journals. The journal characteristics associated with the adoption of AI guidelines were also analyzed.

Results

Only 18% of the surveyed journa

SUBMITTER: Ahn S 

PROVIDER: S-EPMC11812075 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature