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

Patient Education for Cancer (229) Innovations and Technology in Cancer Care (538) Generative Language Models Including ChatGPT (725) Cancer Self-Management (93) Natural Language Processing (924) Quality/Credibility of eHealth Information and Trust Issues (659)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63677, first published .
Assessing the Quality and Reliability of ChatGPT’s Responses to Radiotherapy-Related Patient Queries: Comparative Study With GPT-3.5 and GPT-4

Assessing the Quality and Reliability of ChatGPT’s Responses to Radiotherapy-Related Patient Queries: Comparative Study With GPT-3.5 and GPT-4

Assessing the Quality and Reliability of ChatGPT’s Responses to Radiotherapy-Related Patient Queries: Comparative Study With GPT-3.5 and GPT-4

Authors of this article:

Ana Grilo1 Author Orcid Image ;   Catarina Marques2 Author Orcid Image ;   Maria Corte-Real2 Author Orcid Image ;   Elisabete Carolino1 Author Orcid Image ;   Marco Caetano2 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

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  5. Saha A, Churchill V, Rodriguez A, Kursuncu U, Idris M. Large Language Models for Breast and Cervical Cancer Communication: Mixed-methods Evaluation of Linguistic Quality, Safety, and Accessibility (Preprint). JMIR Cancer 2025 View