CNBC, — Paul Friedman, chair of cardiovascular medicine at the Mayo Clinic, joins “Squawk Box” to explain how emerging A.I. technology can help prevent and treat heart disease. Additional coverage: KARE 11, Healthcare Informatics, DOTMed.com, Fierce Healthcare
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Context: A Mayo Clinic study finds that applying artificial intelligence (AI) to a widely available, inexpensive test – the electrocardiogram (EKG) – results in a simple, affordable early indicator of asymptomatic left ventricular dysfunction, which is a precursor to heart failure. The research team found that the AI/EKG test accuracy compares favorably with other common screening tests, such as mammography for breast cancer. The findings were published in Nature Medicine. Asymptomatic left ventricular dysfunction is characterized by the presence of a weak heart pump with a risk of overt heart failure. It affects 7 million Americans, and is associated with reduced quality of life and longevity. But asymptomatic left ventricular dysfunction is treatable when identified.“Congestive heart failure afflicts more than 5 million people and consumes more than $30 billion in health care expenditures in the U.S. alone,” says Paul Friedman, M.D., senior author and chair of the Midwest Department of Cardiovascular Medicine at Mayo Clinic. "The ability to acquire an ubiquitous, easily accessible, inexpensive recording in 10 seconds – the EKG – and to digitally process it with AI to extract new information about previously hidden heart disease holds great promise for saving lives and improving health," he says. You can read more about the study on Mayo Clinic News Network.
Contact: Traci Klein
Tags: AI, artificial Intelligence, Asymptomatic left ventricular dysfunction, CNBC, Dr. Paul Friedman, EKG, electrocardiogram, heart disease, Uncategorized