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

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

In contrast, fewer studies addressed Google Bard (n=3), Bing (n=3), GPT-4o (n=2), and GPT-4 V (n=2). The case diagnoses encompassed various fields, including ophthalmology (n=9), internal medicine (n=6), emergency medicine (n=3), and general medicine (n=3), among others. The control groups included at least 193 clinical professionals, ranging from resident doctors to medical experts with over 30 years of clinical experience, to compare their diagnostic capabilities with those of the LLMs.

Guxue Shan, Xiaonan Chen, Chen Wang, Li Liu, Yuanjing Gu, Huiping Jiang, Tingqi Shi

JMIR Med Inform 2025;13:e64963