Comparing Diagnostic Accuracy of Clinical Professionals and Large Language Models: Systematic Review and Meta-Analysis.

ABSTRACT:

Background

With the rapid development of artificial intelligence (AI) technology, especially generative AI, large language models (LLMs) have shown great potential in the medical field. Through massive medical data training, it can understand complex medical texts and can quickly analyze medical records and provide health counseling and diagnostic advice directly, especially in rare diseases. However, no study has yet compared and extensively discussed the diagnostic performance of LLMs with that of physicians.

Objective

This study systematically reviewed the accuracy of LLMs in clinical diagnosis and provided reference for further clinical application.

Methods

We conducted searches in CNKI (China National Knowledge Infrastructure), VIP Database, SinoMed, PubMed, Web

SUBMITTER: Shan G 

PROVIDER: S-EPMC12047852 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature