1. More than meets the eye: Using AI to identify reduced heart function by electrocardiograms
- Author
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Evan D. Muse and Eric J. Topol
- Subjects
medicine.medical_specialty ,business.industry ,media_common.quotation_subject ,Myocardial Infarction ,Arrhythmias, Cardiac ,Heart ,General Medicine ,law.invention ,Electrocardiography ,Randomized controlled trial ,law ,Artificial Intelligence ,Internal medicine ,Conduction system disease ,medicine ,Cardiology ,Suspected heart disease ,Humans ,cardiovascular diseases ,Function (engineering) ,business ,media_common - Abstract
Electrocardiographic (ECG) assessment of patients with suspected heart disease is a bedrock of cardiology for diagnosing conduction system disease, arrhythmias, and heart attack. Now, using AI-assisted interpretation of ECGs, the signals within these studies are able to tell us so much more. In their recent randomized trial published in Nature Medicine, Yao and colleagues illustrate the power of utilizing AI-enabled ECGs to identify individuals with reduced heart function using a scalable, pragmatic approach.
- Published
- 2022