Published on in Vol 27 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/64325, first published
.
Patient Perspectives on Conversational Artificial Intelligence for Atrial Fibrillation Self-Management: Qualitative Analysis
Patient Perspectives on Conversational Artificial Intelligence for Atrial Fibrillation Self-Management: Qualitative Analysis
Journals
- Trivedi R, Laranjo L, Marschner S, Thiagalingam A, Thomas S, Kumar S, Shaw T, Chow C. Conversational AI Phone Calls to Support Patients With Atrial Fibrillation: Randomized Controlled Trial. JMIR Cardio 2025;9:e64326 View
- Tran H, Thu A, Twayana A, Fuertes A, Gonzalez M, Basta M, James M, Frishman W, Aronow W. The Role of Generative Artificial Intelligence and Large Language Models in Atrial Fibrillation: Clinical Research and Decision Support. Cardiology in Review 2025 View
- Shao Y, Hou X, Peng Q, Hu M, Li C. A meta-synthesis of qualitative studies on cardiovascular disease patients’ experiences using digital health tools. Frontiers in Public Health 2025;13 View
- Islam M, Hosen A, Rony M, Vanu N, Bhuiyan M, Tasnim A, Tiwari A, Yeasmin S, Manik M, Wesley H. Advancing Public Health Surveillance With Artificial Intelligence: A Systematic Review of Real‐Time Data Analytics and Disease Prediction. Advances in Public Health 2025;2025(1) View