Deep Learning and Cardiovascular Diseases: An Updated Narrative Review
: AI and DL have transformative potential in cardiology, offering fast, accurate, and scalable diagnostic tools. The integration of multimodal data, the validation of algorithms in prospective studies, and ensuring the transparency of models are key. Future research should focus on prospective, multicenter validations and the ethical and safe implementation of AI in everyday clinical practice.
Authors
- David Aebisher (ORCID: https://orcid.org/0000-0002-2661-6570)
- Marvin Xavierselvan (ORCID: https://orcid.org/0000-0002-8361-7318)
- Dorota Bartusik‐Aebisher (ORCID: https://orcid.org/0000-0002-5557-5464)
- Angelika Myśliwiec (ORCID: https://orcid.org/0009-0001-0658-5471)
- Avijit Paul
Institutions
- Tufts University (US)
- University of Rzeszów (PL)
Publication Details
- Journal
- Journal of Clinical Medicine
- Published
- 2026-04-16
- DOI
- https://doi.org/10.3390/jcm15083053
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00