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Reference quality of OpenEvidence across five medical specialties
Tamir Lotan1, Mahmud Omar2, Yiftach Barash2,3
1Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv-Yafo, Israel.
Npj Health Systems
|September 3, 2026
Abstract:
OpenEvidence (OE) is a retrieval-augmented clinical AI tool. We evaluated the references OE returned to 150 standardized prompts across five specialties, analyzing all 4979 citations. No reference was confirmed as fabricated; three abstracts had attribution errors. Most references were recent and high-impact, though journal concentration varied by specialty. This study assessed reference existence and characteristics, not whether references support OE's clinical claims - a benchmark for evaluating clinical AI tools.
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