Stepwise Diagnostic Evaluation of Chinese Large Language Models: Comparative Study of Common and Rare Diseases
Background: Large language models (LLMs) are increasingly applied in clinical decision support, yet their diagnostic performance in Chinese-language settings and under realistic clinical workflows remains unclear. In particular, how LLMs perform across diseases with different prevalence and under stepwise diagnostic processes has not been well characterized. Objective: This study aimed to evaluate the diagnostic capabilities of LLMs for common diseases and rare diseases using clinical vignettes
Record details
Published: 6 August 2026
Source: JMIR (Journal of Medical Internet Research)
Category: Research
Topics: Healthcare
Retrieved: 7 August 2026
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How to cite this record
ethics.ai (6 August 2026), “Stepwise Diagnostic Evaluation of Chinese Large Language Models: Comparative Study of Common and Rare Diseases,” evidence record 17154, https://ethics.ai/record/17154 (originally published by JMIR (Journal of Medical Internet Research)).
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