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Accepted for/Published in: JMIR AI

Date Submitted: Jan 14, 2026
Date Accepted: Mar 31, 2026

The final, peer-reviewed published version of this preprint can be found here:

Expert Evaluation of the Perceived Accuracy, Relevance, and Safety of Large Language Model–Generated Patient Information in Geriatrics: Cross-Condition Study

Martini S, Schluessel S, Aghamaliyev U, Rippl M, Deissler L, Tausendfreund O, Nuebler D, Mueller K, Schmidmaier R, Drey M

Expert Evaluation of the Perceived Accuracy, Relevance, and Safety of Large Language Model–Generated Patient Information in Geriatrics: Cross-Condition Study

JMIR AI 2026;5:e91369

DOI: 10.2196/91369

PMID: 42081273

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Per the author's request this version is not available.