Cardiovascular Business November 23, 2022
Artificial intelligence (AI) can be applied to electrocardiogram (ECG) data captured by smartwatches to identify patients with weak heart pumps, according to a new analysis published in Nature Medicine.[1]
A team of cardiologists from Mayo Clinic led the analysis, exploring ECG data from nearly 2,500 Mayo Clinic patients from all over the world. The mean patient age was 53 years old, 56% of patients were women and all ECGs were captured remotely from August 2021 to February 2022.
The group applied a 12-lead algorithm for low ventricular ejection fraction to the ECG data, finding that it had an area under the ROC curve of 0.88 for detecting signs of ventricular dysfunction. A total of 421 patients had an echocardiogram within...
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