Patient Perspectives Towards Artificial Intelligence in Heart Failure Care.

Published Date: 01st December 2025

Publication Authors: Suepiantham. S, Katira. R

Abstract

Background Artificial intelligence (AI) tools are increasingly being developed to support the management of chronic diseases, including heart failure (HF). Little is known about the views of patients with HF, a population typically older, with high comorbidity, and familiar with close clinician relationships. This study aims to investigate HF patients' perception of AI integration into HF care to help guide a patient-centred adoption. Methods We conducted a cross-sectional survey on consecutive patients with HF with reduced ejection fraction attending follow-up at a clinic. The questionnaire assessed satisfaction with current care, trust in cardiologists, and attitudes toward AI involvement in diagnosis and treatment decisions. Responses were collected on Likert scales and analysed using ordinal and binary logistic regression to test associations with age, sex, education level, smartphone ownership, symptom burden and prior experience with AI. Results A total of 110 patients completed the questionnaire. Atti

Suepiantham, S.; Katira, R. (2025). Patient Perspectives Towards Artificial Intelligence in Heart Failure Care. Cureus. 17(12), p.e98378. [Online]. Available at: https://doi.org/10.7759/cureus.98378 [Accessed 12 December 2025].