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

Innovations and Technology in Cancer Care (694) Equity and Digital Divide (523) Cancer Survivorship (454) Patient Education for Cancer (329) Registered Report (1547) Vulnerable Populations in Health Research (358) Equity Issues in Information Distribution (43) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (162) Generative Language Models Including ChatGPT (1554)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67914, first published .
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Evaluation of Large Language Models in Tailoring Educational Content for Cancer Survivors and Their Caregivers: Quality Analysis

Evaluation of Large Language Models in Tailoring Educational Content for Cancer Survivors and Their Caregivers: Quality Analysis

Authors of this article:

Darren Liu1, 2 Author Orcid Image ;   Xiao Hu1, 2 Author Orcid Image ;   Canhua Xiao1, 3 Author Orcid Image ;   Jinbing Bai1, 3 Author Orcid Image ;   Zahra A Barandouzi1, 3 Author Orcid Image ;   Stephanie Lee1 Author Orcid Image ;   Caitlin Webster1 Author Orcid Image ;   La-Urshalar Brock1, 3 Author Orcid Image ;   Lindsay Lee4 Author Orcid Image ;   Delgersuren Bold1, 2 Author Orcid Image ;   Yufen Lin1, 3 Author Orcid Image
Article Authors Cited by (7) Tweetations (1) Metrics

Journals

  1. Liu D, Lin Y, Yan R, Wang Z, Bold D, Hu X. Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb. JMIR Cancer 2025;11:e68516 View
  2. Zeng H, Liu G, Liu W, Zou S, Chen B, Yang R, Lin F, Peng J, Gao Y, Hao L. Evaluation of large language models in the clinical management of multiple chronic conditions: A comparative study of DeepSeek-R1 and ChatGPT-o1. Public Health 2025;249:106042 View
  3. Huynh L, McNamara D. Natural Language Processing as a Scalable Method for Evaluating Educational Text Personalization by LLMs. Applied Sciences 2025;15(22):12128 View
  4. Olagoke A, Aidoo-Frimpong G, Adebayo C, Shaw J, Adegbile O, Owoyemi A, Qi Z, Okut H. Readiness for Generative AI in Rural Health Communication: Maturity Guidance for Agentic and Non-Agentic Applications. Systems 2026;14(7):739 View
  5. İnan M, Akar İnan S, Bumin G, Aypak C. The Invisible Workforce: An Algorithmic Audit of Nursing, Primary Care, and Holistic Gaps in AI-Generated Survivorship Plans. Seminars in Oncology Nursing 2026;42(5):152304 View
  6. Yang E, Ko S, Woo H. The Reliability of Human Evaluation of Large Language Models in Health Care Settings: Scoping Review. Journal of Medical Internet Research 2026;28:e98184 View
  7. Jiang Y, Wang Q, Zheng L, Zhang L, Jiang B, Xu J, Wang J, Zhu J, Wu Z. Safety and quality of public chatbots for lung cancer prognostic information: a comparative evaluation. Frontiers in Public Health 2026;14 View