FDA Approves AI Stethoscope Technology Capable of Detecting Heart Failure

Revolutionizing Heart Failure Diagnosis: A New AI Technology Swiftly Detects Signs in Just Seconds

Heart Failure Affects Millions Worldwide

Heart failure is a serious condition that affects millions of people globally. According to the Centers for Disease Control and Prevention (CDC), more than 6 million Americans suffer from heart failure. This number is even higher worldwide, with over 11 million people having heart failure with reduced ejection fraction, a condition characterized by a weak heart pump, as noted in a 2020 study published in the journal of the American Medical Association.

Recently, a new FDA-cleared artificial intelligence technology developed by Mayo Clinic and Eko Health has been introduced to swiftly detect signs of heart failure in just seconds. The technology has transformed an instrument that has been in use since 1816 – the stethoscope – through AI. Doctors utilize the stethoscope to listen to the sounds of the heart and lungs, which helps diagnose various conditions. However, additional tests such as CT or MRI scans are often required for a definitive diagnosis. Electrocardiograms (ECGs), which measure the heart’s electrical activity, are commonly used by physicians for further evaluation.

Lindsey Theis of Scripps News spoke with Connor Landgraf, CEO of Eko Health, who emphasized the importance of utilizing technology like AI to enhance patient care, especially in early detection of illnesses. Through a collaborative effort between Mayo Clinic and Eko Health, the AI program was trained using over 100,000 patient recordings to interpret heart activity accurately. The technology can now assess an individual’s heart strength within seconds and detect early signs of heart failure with low ejection fraction that are often challenging to identify.

Dr. Paul Friedman, a cardiac electrophysiologist and cardiologist at Mayo Clinic, highlighted the significance of early detection for this potentially life-threatening condition. Early detection can lead to timely intervention and better outcomes for patients. Despite its benefits

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