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More than meets the eye: Using AI to identify reduced heart function by electrocardiograms
- Source :
- Med (New York, N.Y.). 2(7)
- Publication Year :
- 2022
-
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.
- 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
Subjects
Details
- ISSN :
- 26666340
- Volume :
- 2
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- Med (New York, N.Y.)
- Accession number :
- edsair.doi.dedup.....3f6dfb790e4e470be41fc31125b9d1d1