Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53421, first published .
A Multidisciplinary Assessment of ChatGPT’s Knowledge of Amyloidosis: Observational Study

A Multidisciplinary Assessment of ChatGPT’s Knowledge of Amyloidosis: Observational Study

A Multidisciplinary Assessment of ChatGPT’s Knowledge of Amyloidosis: Observational Study

Journals

  1. McBee J, Han D, Liu L, Ma L, Adjeroh D, Xu D, Hu G. Assessing ChatGPT’s Competency in Addressing Interdisciplinary Inquiries on Chatbot Uses in Sports Rehabilitation: Simulation Study. JMIR Medical Education 2024;10:e51157 View
  2. Aydin S, Karabacak M, Vlachos V, Margetis K. Large language models in patient education: a scoping review of applications in medicine. Frontiers in Medicine 2024;11 View
  3. Ulug E, Gunesli I, Acıkgoz Pinar A, Yildiz B. Evaluating reliability, quality, and readability of ChatGPT's nutritional recommendations for women with polycystic ovary syndrome. Nutrition Research 2025;133:46 View
  4. Samaan J, Issokson K, Feldman E, Fasulo C, Rajeev N, Ng W, Hollander B, Yeo Y, Vasiliauskas E. Examining the Accuracy and Reproducibility of Responses to Nutrition Questions Related to Inflammatory Bowel Disease by Generative Pre-trained Transformer-4. Crohn's & Colitis 360 2024;7(1) View