Interpreting relatively inexpensive electrocardiograms (ECGs) with an artificial intelligence (AI) algorithm accurately screened patients for a key precursor of heart failure in Kenya, a study led by UT Southwestern Medical Center researchers shows. The results, published in JAMA Cardiology, suggest AI-augmented ECG (AI-ECG) analysis could be a potential low-cost strategy for identifying patients who have underlying impairment in heart function.
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