Evaluating ChatGPT-4’s correctness in patient-focused informing and awareness for atrial fibrillation
Our results suggest that while ChatGPT-4 is reliable in categories with structured and direct queries, it shows limitations when handling complex medical queries that require in-depth explanations or clinical judgment. ChatGPT-4 demonstrates promising potential as a tool for patient-focused informing in atrial fibrillation, particularly in straightforward informing content.
Authors
- Miloslav Novak
- Nikola Pavlović (ORCID: https://orcid.org/0000-0001-9187-7681)
- Ivan Zeljković (ORCID: https://orcid.org/0000-0002-4550-4056)
- Ana Jordán (ORCID: https://orcid.org/0000-0001-5610-6259)
- Šime Manola (ORCID: https://orcid.org/0000-0001-6444-2674)
- Ante Lisičić (ORCID: https://orcid.org/0000-0002-4365-9652)
- Tatjana Nemeth-Blažić
Institutions
- Rochester Institute of Technology Croatia (HR)
- University Hospital Dubrava (HR)
- Hrvatski zavod za javno zdravstvo (HR)
- Catholic University of Croatia (HR)
Publication Details
- Journal
- Heart Rhythm O2
- Published
- 2024-10-19
- DOI
- https://doi.org/10.1016/j.hroo.2024.10.005
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.24
Funders
- Klinička Bolnica Dubrava