Advancing Cardiovascular Risk Assessment with Artificial Intelligence: Opportunities and Implications in North Carolina.

Conners, Katherine M; Avery, Christy L; Syed, Faisal F

Conners, Katherine M; Avery, Christy L; Syed, Faisal F.

Afiliación

Conners KM; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Avery CL; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Syed FF; Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina.

N C Med J ; 85(1)2024.

Article en En | MEDLINE | ID: mdl-38938760

ABSTRACT

ABSTRACT

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.

Asunto(s)

Inteligencia Artificial; Enfermedades Cardiovasculares; Humanos; North Carolina/epidemiología; Enfermedades Cardiovasculares/prevención & control; Medición de Riesgo/métodos; Electrocardiografía

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Enfermedades Cardiovasculares País/Región como asunto: America do norte Idioma: En Revista: N C Med J Año: 2024 Tipo del documento: Article

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