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O. Brook

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Open access Sep 2026

Reference quality of OpenEvidence across five medical specialties

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 jo...

Tami Lotan, Mahmud Omar, Y. Barash et al. · 0 citations
Review Open access Jul 2026

Generative large language models in the clinical management of Alzheimer’s disease and mild cognitive impairment

Current evidence does not support the use of LLMs for diagnosis, treatment selection, or patient education in AD/MCI without clinician oversight, and are further limited by small heterogeneous evaluations, sparse hallucination measurement, and absence of prospective clinical validation.

Y. Adiniaev, Mahmud Omar, Oved Daniel et al. · 0 citations
Open access Aug 2026

OpenEvidence errs on the safe side in a structured test of triage recommendations.

Under this benchmark, OpenEvidence produced fewer missed emergencies than the historical ChatGPT Health comparison, while errors concentrated in over-triage and evidence-seeking refusal.

Eric Jia, Mahmud Omar, Y. Barash et al. · 0 citations

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