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

Patient Education for Cancer (329) Innovations and Technology in Cancer Care (696) Artificial Intelligence (4881) Innovations in Cancer Diagnostic and Decision Support (156) Teleoncology (40) Generative Language Models Including ChatGPT (1569) AI Language Models in Health Care (769)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69783, first published .
Doctor examining chest X-ray, medical imaging

Assessing ChatGPT’s Educational Potential in Lung Cancer Radiotherapy From Clinician and Patient Perspectives: Content Quality and Readability Analysis

Assessing ChatGPT’s Educational Potential in Lung Cancer Radiotherapy From Clinician and Patient Perspectives: Content Quality and Readability Analysis

Authors of this article:

Cedric Richlitzki1 Author Orcid Image ;   Sina Mansoorian1 Author Orcid Image ;   Lukas Käsmann1 Author Orcid Image ;   Mircea Gabriel Stoleriu2 Author Orcid Image ;   Julia Kovacs3 Author Orcid Image ;   Wulf Sienel3 Author Orcid Image ;   Diego Kauffmann-Guerrero4, 5 Author Orcid Image ;   Thomas Duell2 Author Orcid Image ;   Nina Sophie Schmidt-Hegemann1 Author Orcid Image ;   Claus Belka1, 5, 6, 7 Author Orcid Image ;   Stefanie Corradini1 Author Orcid Image ;   Chukwuka Eze1 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Fu J, Cheng Y, Li Z, Fu J. Intelligent Support for Radiotherapy: A Review of Clinical Applications for Large Language Models. Journal of Clinical Medicine 2026;15(7):2531 View
  2. Sęk W, Kowalczyk A, Fąfara M, Jeczkało M, Kosiorowska M, Lasoń J, Makulska M, Płachta W, Sieradzka A, Wegenko C. ARTIFICIAL INTELLIGENCE CHATBOTS IN PATIENT EDUCATION: OPPORTUNITIES, RISKS, AND ETHICAL CHALLENGES. International Journal of Innovative Technologies in Social Science 2026;2(2(50)) View
  3. Zhao J, Sun S, Zhao A, Liang R, Peng L, Peng X, Li R. Comparative Evaluation of AI Chatbots for Testicular Cancer Education: Validity, Information Quality, and Readability. Annals of Surgical Oncology 2026 View
  4. Menz B, Scarfo N, Cornelisse E, Shahnam A, Chin-Yee B, Rickard C, Haseloff M, Lau A, Ugalde A, Paterson C, Sorich M, Chan R, Rowland A, Hopkins A. Perspectives of people affected by cancer toward generative AI in oncology: A scoping review of applications, evidence gaps, and future priorities. European Journal of Cancer 2026;246:116990 View
  5. Tian L, Tang L, Yang M, Wang Y, He H, He T, Tang Y, Lin C, Hu H, Li J. Evaluating AI-generated patient education materials for endometrial cancer surgery: a comparative analysis of response quality, reliability, and readability between ChatGPT and DeepSeek models. Frontiers in Public Health 2026;14 View