The Role of AI in Cardiovascular Event Monitoring and Early Detection: Scoping Literature Review
The study concludes that AI and ML techniques can improve the accuracy of CVD classification, prediction, diagnosis, and monitoring. The integration of multiple data sources and noninvasive methods supports continuous monitoring and early detection. These advancements help enhance CVD management and patient outcomes, indicating the potential for AI to offer more precise and cost-effective solutions in health care.
Authors
- Luís B. Elvas (ORCID: https://orcid.org/0000-0002-7489-4380)
- João C. Ferreira (ORCID: https://orcid.org/0000-0002-6662-0806)
- Ana Isabel Almeida
Institutions
- Iscte – Instituto Universitário de Lisboa (PT)
- Molde University College (NO)
- Instituto de Novas Tecnologias (PT)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-03-06
- DOI
- https://doi.org/10.2196/64349
- Citations
- 17
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 23.60