Advancing Cardiovascular Risk Assessment with Artificial Intelligence: Opportunities and Implications in North Carolina.
Cardiovascular disease mortality is increasing in North Carolina with persistent inequality by race, income, and location. Artificial intelligence (AI) can repurpose the widely available electrocardiogram (ECG) for enhanced assessment of cardiac dysfunction. By identifying accelerated cardiac aging from the ECG, AI offers novel insights into risk assessment and prevention.
Authors
- Katherine M. Conners (ORCID: https://orcid.org/0009-0007-1979-5658)
- Christy L. Avery (ORCID: https://orcid.org/0000-0002-1044-8162)
- Faisal F. Syed (ORCID: https://orcid.org/0000-0003-4209-970X)
Institutions
- University of North Carolina at Chapel Hill (US)
Publication Details
- Journal
- UNC Libraries
- Published
- 2024-10-05
- DOI
- https://doi.org/10.17615/35ee-4z74
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.12