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Artificial intelligence can help detect early signs of heart failure
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A recent Mayo Clinic study found that applying artificial intelligence (AI) to a widely available, inexpensive test — the EKG — results in a simple, affordable test for early signs of heart failure. The test detects asymptomatic left ventricular dysfunction, which is a precursor to heart failure. Asymptomatic left ventricular dysfunction affects 7 million Americans, and is associated with reduced quality of life and longevity. But asymptomatic left ventricular dysfunction is treatable when identified. 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.
On the next Mayo Clinic Radio program, Dr. Paul Friedman, chair of the Department of Cardiology at Mayo Clinic, and Dr. Peter Noseworthy, a Mayo Clinic cardiologist, will share how AI is helping detect problems with the heart. Then Mary Schoenbeck, a Mayo Clinic patient from Scottsdale, Arizona, will share how a smart watch alerted her to a potential heart problem. Also on the program, Dr. Christopher Boes, division chair of Neurology Education at Mayo Clinic, will explain a new group of medications aimed at preventing migraine headaches. And Dr. Robert Wilfahrt, a Family Medicine physician at Mayo Clinic, will discuss attention deficit hyperactivity disorder in adults.
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Mayo Clinic Radio produces a weekly one-hour radio program highlighting health and medical information from Mayo Clinic.
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