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Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91369, first published .
Expert Evaluation of the Perceived Accuracy, Relevance, and Safety of Large Language Model–Generated Patient Information in Geriatrics: Cross-Condition Study

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

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

Sebastian Martini   1 , MD ;   Sabine Schluessel   1 , MD ;   Ughur Aghamaliyev   2 , MD ;   Michaela Rippl   1 , MD ;   Linda Deissler   1 , MD ;   Olivia Tausendfreund   1 , MD ;   Desiree Nuebler   1 , MS ;   Katharina Mueller   1 , PhD ;   Ralf Schmidmaier   1 , MME, MD ;   Michael Drey   1 , MSc, MD

1 Department of Medicine IV, Geriatrics, LMU Munich Hospital, Ludwig-Maximilians-Universität München, Munich, Bavaria, Germany

2 Department of General, Visceral, and Transplant Surgery, LMU Munich Hospital, Ludwig-Maximilians-Universität München, Munich, Bavaria, Germany

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