Effects of ChatGPT Use on Self-care Cardiac Rehabilitation Adherence in Patients with Coronary Artery Disease.

Authors

Hac Ift I, Do An Yet T

Published in

Turk Kardiyoloji Dernegi arsivi : Turk Kardiyoloji Derneginin yayin organidir. Oct 19, 2026. Epub Oct 19, 2026.

Abstract

To clarify the possible effects of ChatGPT use on self-care cardiac rehabilitation (CR) adherence in patients with coronary artery disease (CAD).
Patients in the ChatGPT group participated in a standard cardiac rehabilitation program supplemented with personalized digital support via ChatGPT (n=48). The control group participated in conventional cardiac rehabilitation only, without AI-based support (n=48). Both groups completed a 6-month structured rehabilitation program supervised by a multidisciplinary team. Baseline demographic and clinical data, patient satisfaction assessed using a Likert scale, physical activity levels assessed using the International Physical Activity Questionnaire (IPAQ), and metabolic equivalent of task (MET) values were recorded.
The postrehabilitation MET score was 1537 in the ChatGPT group and 1413 in the control group (P = 0.001). Similarly, the change in MET score after rehabilitation was greater in the ChatGPT group than in the control group (1029 vs. 875, P = 0.001). SF-36 parameters, including physical functioning, role-physical, mental health, bodily pain, and general health, were significantly higher in the ChatGPT group than in the control group (P < 0.05 for all). Program compliance was higher in the ChatGPT group than in the control group (91.7% vs. 75.0%, P = 0.028). Patient satisfaction was also higher in the ChatGPT group (4.5 vs. 3.8, P = 0.001).
ChatGPT use during CR was associated with higher patient compliance rates. Moreover, ChatGPT-supported CR was associated with higher physical activity levels, greater patient satisfaction, and better selected quality-of-life scores.

PMID:
42897918
Bibliographic data and abstract were imported from PubMed on 20 Oct 2026.

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