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

Formative Evaluation of Digital Health Interventions (3521) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (232) Geriatrics and Longevity Medicine (65) Chronic Conditions (493) AI in Older Adult Care (54) Generative Language Models Including ChatGPT (854)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63494, first published .
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

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
Article Authors Cited by (4) Tweetations Metrics

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