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

Cancer and Clinical Trials (50) Digital Health Reporting Standards, Quality and Transparency in e-Research (150) Health and Risk Communication (86) AI Language Models in Health Care (248) Bots and AI Approaches to Detect and Counter Misinformation (23)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78221, first published .
Large Language Models for Supporting Clear Writing and Detecting Spin in Randomized Controlled Trials in Oncology: Comparative Analysis of GPT Models and Prompts

Large Language Models for Supporting Clear Writing and Detecting Spin in Randomized Controlled Trials in Oncology: Comparative Analysis of GPT Models and Prompts

Large Language Models for Supporting Clear Writing and Detecting Spin in Randomized Controlled Trials in Oncology: Comparative Analysis of GPT Models and Prompts

Authors of this article:

Carole Koechli1, 2 Author Orcid Image ;   Fabio Dennstädt2 Author Orcid Image ;   Christina Schröder1, 2 Author Orcid Image ;   Daniel M Aebersold2 Author Orcid Image ;   Robert Förster1, 2 Author Orcid Image ;   Daniel R Zwahlen1 Author Orcid Image ;   Paul Windisch1, 2 Author Orcid Image
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  1. Priya M, Jasrotia S, Abia A. Public Health Risks of Pathogenic Bacteria in Freshwater Bodies: A Review of Quantitative Microbial Risk Assessment Approaches and Applications. Limnological Review 2026;26(1):10 View