Accessibility settings

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63494, first published .
Doctor assisting elderly man with walker, rehabilitation care

ChatGPT’s Attitude, Knowledge, and Clinical Application in Geriatrics Practice and Education: Exploratory Observational Study

ChatGPT’s Attitude, Knowledge, and Clinical Application in Geriatrics Practice and Education: Exploratory Observational Study

Authors of this article:

Huai Yong Cheng1 Author Orcid Image

Journals

  1. Efendioglu E, Cigiloglu A. An artificial intelligence perspective on geriatric syndromes: assessing the information accuracy and readability of ChatGPT. European Geriatric Medicine 2025;16(3):1063 View
  2. Hao W, Chen C, Chen K, Li L, Chiu C, Yang T, Jong H, Yang H, Huang C, Liu J, Li Y. ChatGPT Performance Deteriorated in Patients with Comorbidities When Providing Cardiological Therapeutic Consultations. Healthcare 2025;13(13):1598 View
  3. Ozata D, Cingar Alpay K, Avlagi G, Bilgin S, Durak U, Ozata I, Calbay Deveci S, Avci S, Doventas A, Erdinçler U. AI-assisted PEG aftercare education for older adults: clinician-informed chatbot design (PEGAssist). European Geriatric Medicine 2025;17(2):829 View
  4. Rogers C, McGeown W, Moshfeghi Y. Exploring Information Access in Aging Populations and Those With Dementia and Mild Cognitive Impairment in the United Kingdom: Survey and Focus Group Study. JMIR Aging 2026;9:e85626 View
  5. He L, Do D, Shet V, Farghaly O, Deshpande P, Madiraju P, Ye J, Beestrum M. Large language model biases in health care: a scoping review and call for an integrated assessment framework. Journal of the American Medical Informatics Association 2026 View
  6. Karaca O, Torlak M, Tekin A. A comparative evaluation of ChatGPT and Gemini for stroke caregiver support: accuracy, safety, and response characteristics. Revista da Associação Médica Brasileira 2026;72(3) View
  7. Azmakan H, Hashemian F. ChatGPT-5 for drug–drug interaction detection in the intensive care unit: A real-world cohort study on large language model advances and implications for clinical pharmacists. Journal of the American Pharmacists Association 2026;66(4):103019 View
  8. SÖZLÜ U, GÜNAY S, TÜRE S, ÖZKAZANÇ G. MOST FREQUENTLY ASKED QUESTIONS BY OLDER ADULTS IN GERIATRIC REHABILITATION: EVALUATING LARGE LANGUAGE MODELS AS A SOURCE OF INFORMATION. Turkish Journal of Geriatrics 2026;29(2) View