Clinical applications and limitations of large language models in nephrology: a systematic review.

ABSTRACT:

Background

Large language models (LLMs) have emerged as potential tools in healthcare. This systematic review evaluates the applications of text-generative conversational LLMs in nephrology, with particular attention to their reported advantages and limitations.

Methods

A systematic search was performed in PubMed, Web of Science, Embase and the Cochrane Library in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Eligible studies assessed LLM applications in nephrology. PROSPERO registration number CRD42024550169.

Results

Of 1070 records screened, 23 studies met inclusion criteria, addressing four clinical applications in nephrology. In patient education (n = 13), GPT-4 improved the readability of kidney donation

SUBMITTER: Unger Z 

PROVIDER: S-EPMC12461145 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature