AI-enabled ECG system significantly reduces hospital mortality rates by identifying at-risk patients

Taiwan

By Tarun Sai Lomte Apr 30 2024 Reviewed by Susha Cheriyedath, M.Sc. In a recent study published in the journal Nature Medicine , researchers evaluated the potential of artificial intelligence (AI)-enabled electrocardiogram (ECG) to identify hospitalized patients at risk of death. The burden of critical illness is expected to increase with the aging population. Intensive care for critically ill subjects reduces mortality, but delays can lead to adverse outcomes. While most in-hospital arrests

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