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This paper is in the following e-collection/theme issue:

Foundation Models and Their Applications in AI (104) Consumer & Patient Education and Shared-Decision Making (1261) Geroinformatics and Electronic Clinical Information/Decision Making in Geriatrics (109) Geriatrics and Longevity Medicine (89) AI in Older Adult Care (215) Generative Language Models Including ChatGPT (1449) AI Language Models in Health Care (711)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91369, first published .
Doctors and robot discuss orthopedic care, showing anatomy and patient conditions.

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

Authors of this article:

Sebastian Martini1 Author Orcid Image ;   Sabine Schluessel1 Author Orcid Image ;   Ughur Aghamaliyev2 Author Orcid Image ;   Michaela Rippl1 Author Orcid Image ;   Linda Deissler1 Author Orcid Image ;   Olivia Tausendfreund1 Author Orcid Image ;   Desiree Nuebler1 Author Orcid Image ;   Katharina Mueller1 Author Orcid Image ;   Ralf Schmidmaier1 Author Orcid Image ;   Michael Drey1 Author Orcid Image
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Journals

  1. Shankar R. Large Language Models in Post-Acute and Long-Term Care: Bridging Promise and Practice. Journal of the American Medical Directors Association 2026:106379 View