The Use of Artificial Intelligence to Predict the Development of Atrial Fibrillation.
Curr Cardiol Rep
; 25(5): 381-389, 2023 05.
Article
en En
| MEDLINE
| ID: mdl-37000332
ABSTRACT
PURPOSE OF REVIEW Atrial fibrillation (AF) is a major public health problem associated with preventable morbidity. Artificial intelligence (AI) is emerging as potential tool to prioritize individuals at increased risk for AF for preventive interventions. This review summarizes recent advances in the use of AI models to estimate AF risk. RECENT FINDINGS:
Several AI-enabled models have been recently developed which can discriminate AF risk with reasonable accuracy. AI models utilizing the electrocardiogram waveform appear to extract predictive information which is additive beyond traditional clinical risk factors. By identifying individuals at higher risk for AF, AI-based models may improve the efficiency of preventive efforts (e.g., screening, risk factor modification) intended to reduce risk of AF and associated morbidity.Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Fibrilación Atrial
Tipo de estudio:
Diagnostic_studies
/
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
En
Año:
2023
Tipo del documento:
Article