How a New AI Algorithm Could Help in the Early Detection of Heart Disease

An AI algorithm developed by researchers at the Mayo Clinic through its newly formed health technology company Anumana Inc., can assess for low ejection fraction through routine electrocardiograms (ECG, or also called EKG). The ECG-based AI-powered clinical decision support tool can enable diagnosis of low ejection fraction, especially in its earliest stages to facilitate more prompt diagnosis and treatment of the heart condition. In a clinical trial that evaluated the tool, the researchers found that it was able to detect an increased number of low ejection fraction cases in the earliest stages of the condition.