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

Applications of AI (1154) Consumer & Patient Education and Shared-Decision Making (1318) eHealth Literacy / Digital Literacy (941) Quality/Credibility of eHealth Information and Trust Issues (991) Generative Language Models Including ChatGPT (1701)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77149, first published .
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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 (7) Tweetations Metrics

Journals

  1. Widhani A, Maria S, Chairani A, Visco N, Nurhadi M, Harjoprawito L, Elvira D, Tedja I, Yuniza Y, Fetarayani D, Koesnoe S, Wicaksana B, Hasibuan A, Yunihastuti E. Comparing the Accuracy of ChatGPT-4o, DeepSeek-V3, and Gemini 2.5 Flash in Answering Frequently Asked Questions About Systemic Lupus Erythematosus: Quantitative Study. JMIR Formative Research 2026;10:e89156 View
  2. Käsmann L. Künstliche Intelligenz in der integrativen Onkologie: Chancen und Herausforderungen. Forum 2026;41(4):307 View
  3. Dave A. Who Reviews the Rewrite? Separating Patient-Initiated and Institutionally Curated Large Language Model Simplification. JMIR AI 2026;5:e107277 View
  4. Miftaroski A, Zowalla R, Wiesner M, Pobiruchin M. Authors’ Reply: Who Reviews the Rewrite? Separating Patient-Initiated and Institutionally Curated Large Language Model Simplification. JMIR AI 2026;5:e107588 View
  5. Heckmann P. KI in der Patientenkommunikation: eine Literaturübersicht. Monitor Versorgungsforschung 2026;2026(05):78 View
  6. Topdağı B, Topdağı Ö. Readability of Patient Education Texts Generated by Artificial Intelligence Chatbots Across Dental and Medical Topics. Current Research in Health Sciences 2026;3(3):116 View
  7. Zhang L, Wu F, Ye D, Wu Z, Ma H, Liu L. Safety, accuracy, empathy, reliability, and readability of large language model responses to patient health questions about adenomyosis: A comparative study. International Journal of Gynecology & Obstetrics 2026 View