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Article

Diagnostic Accuracy of Large Language Models for Rare Diseases: A Systematic Review and Meta-Analysis

2026-03-27

Abstract excerpt

<h4>Background</h4> Large language models (LLMs) have been evaluated as tools to assist rare disease diagnosis, yet evidence on their accuracy remains fragmented. We conducted a systematic review and meta-analysis to synthesize the available evidence on the diagnostic performance of LLMs, identify sources of heterogeneity, and evaluate the current evidence base for clinical translation. <h4>Methods</h4> We searc...

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Literature Corpus work
5d757e61-ba4a-57db-86a6-e16376d7142f
DOI
10.64898/2026.03.26.26349194
Open publication

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Diagnostic Accuracy of Large Language Models for Rare Diseases: A Systematic Review and Meta-AnalysisDOI 10.64898/2026.03.26.26349194
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