AI-powered electrocardiogram detects early signs of heart failure

AI Summary

An AI-powered electrocardiogram has been successfully used to detect early signs of heart failure in patients in Kenya. The study suggests that the integration of AI technology in analyzing ECGs could lead to cost-effective strategies for identifying heart-related issues.

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.