ID: 4347484 PATIENT PERCEIVED DEGREE OF EMPATHY EXHIBITED BY A PHYSICIAN GUIDED, PROMPT ENGINEERED, GENERATIVE AI AGENT DESIGNED FOR ATRIAL FIBRILLATION EDUCATION
Patient education to enable timely, guideline-concordant atrial fibrillation (AF) management remains a challenge. Artificial intelligence (AI) agents built on large language models could enhance patient education, if concerns like acceptability, empathy and trust are addressed.
Authors
- Andrew Voigt (ORCID: https://orcid.org/0009-0002-1577-6541)
- Jared W. Magnani (ORCID: https://orcid.org/0000-0002-5075-3604)
- Aditi Naniwadekar (ORCID: https://orcid.org/0000-0002-0880-405X)
- Janet K. Han (ORCID: https://orcid.org/0000-0003-2393-7018)
- Mark Estes (ORCID: https://orcid.org/0000-0002-9514-4677)
- Samir Saba (ORCID: https://orcid.org/0000-0003-4669-803X)
- Krishna Kancharla (ORCID: https://orcid.org/0000-0003-2550-9359)
- Mehak Dhande (ORCID: https://orcid.org/0000-0003-0683-0657)
- Hawkins Gay (ORCID: https://orcid.org/0000-0003-2651-4213)
- Arun Mahtani (ORCID: https://orcid.org/0000-0002-2101-7157)
- Sandeep Jain (ORCID: https://orcid.org/0000-0002-5815-370X)
- Virginia Singla
Publication Details
- Journal
- Heart Rhythm O2
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1016/j.hroo.2025.07.073
- Primary Topic
- Empathy and Medical Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00