Conversational AI Phone Calls to Support Patients With Atrial Fibrillation: Randomized Controlled Trial
This proof-of-concept study demonstrates the feasibility of conversational AI in supporting patients with chronic conditions postdischarge. Intervention participants had improvement in their atrial fibrillation quality of life, though the forced shortening of the evaluation was unable to demonstrate a significant difference between groups.
Authors
- Liliana Laranjo (ORCID: https://orcid.org/0000-0003-1020-3402)
- Clara K Chow (ORCID: https://orcid.org/0000-0003-4693-0038)
- Tim Shaw (ORCID: https://orcid.org/0000-0003-0783-1918)
- Simone Marschner (ORCID: https://orcid.org/0000-0002-5484-9144)
- Aravinda Thiagalingam (ORCID: https://orcid.org/0000-0002-7763-7806)
- Saurabh Kumar (ORCID: https://orcid.org/0000-0002-5643-5076)
- Stuart P. Thomas (ORCID: https://orcid.org/0000-0002-6266-3905)
- Ritu Trivedi (ORCID: https://orcid.org/0000-0002-5128-3202)
Institutions
- The University of Sydney (AU)
- Westmead Hospital (AU)
- Westmead Institute (AU)
Publication Details
- Journal
- JMIR Cardio
- Published
- 2025-08-19
- DOI
- https://doi.org/10.2196/64326
- Citations
- 4
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 5.55