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

Applications of AI (308) Consumer & Patient Education and Shared-Decision Making (888) Generative Language Models Including ChatGPT (752) Quality/Credibility of eHealth Information and Trust Issues (664) eHealth Literacy / Digital Literacy (548)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77149, first published .
Leveraging Large Language Models to Improve the Readability of German Online Medical Texts: Evaluation Study

Leveraging Large Language Models to Improve the Readability of German Online Medical Texts: Evaluation Study

Leveraging Large Language Models to Improve the Readability of German Online Medical Texts: Evaluation Study

Authors of this article:

Amela Miftaroski1 Author Orcid Image ;   Richard Zowalla1, 2 Author Orcid Image ;   Martin Wiesner1, 3 Author Orcid Image ;   Monika Pobiruchin1, 3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Amela Miftaroski   1 , BSc ;   Richard Zowalla   1, 2 , Dr sc hum ;   Martin Wiesner   1, 3 , Dipl Inform med ;   Monika Pobiruchin   1, 3 , Dr sc hum

1 Faculty of Informatics, Heilbronn University, Heilbronn, Germany

2 Research and Innovation Center for Cognitive Service Systems (KODIS), Fraunhofer Institute for Industrial Engineering, Stuttgart, Germany

3 Consumer Health Informatics Special Interest Group, German Association for Medical Informatics, Biometry and Epidemiology (GMDS) e.V., Cologne, Germany

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