Large language models to develop evidence-based strategies for primary and secondary cardiovascular prevention
The current study demonstrated that ChatGPT-4o provided accurate information on primary and secondary prevention, although its readability was assessed as difficult. However, clinical oversight still remains critical to bridge gaps in accuracy and readability and ensure optimal patient outcomes.
Authors
- Francesco Tona (ORCID: https://orcid.org/0000-0003-4828-7875)
- Alberto Cipriani (ORCID: https://orcid.org/0000-0001-7842-6202)
- Martina Perazzolo Marra (ORCID: https://orcid.org/0000-0001-7645-6993)
- Giulia Lorenzoni
- Darío Gregori (ORCID: https://orcid.org/0000-0001-7906-0580)
- Carlo Zanotto (ORCID: https://orcid.org/0000-0003-0222-6102)
- Anna Sordo
- Daniele Gasparini (ORCID: https://orcid.org/0009-0004-4893-2146)
Institutions
- University of Padua (IT)
Publication Details
- Journal
- European Heart Journal - Digital Health
- Published
- 2025-08-13
- DOI
- https://doi.org/10.1093/ehjdh/ztaf085
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65