ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation
Background: Artificial intelligence (AI)-enabled analysis of 12-lead ECGs may facilitate efficient estimation of incident atrial fibrillation (AF) risk. However, it remains unclear whether AI provides meaningful and generalizable improvement in predictive accuracy beyond clinical risk factors for AF...
Main Authors: | , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Lippincott Williams and Wilkins
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |