Voice characteristics may predict coronary heart disease risk


A new study shows that voice analysis, including characteristics such as pitch and amplitude, can predict the risk of coronary heart disease and its complications.

This novel approach involves the use of artificial intelligence algorithms to analyze voice samples collected with the help of a mobile application.

This voice analysis technology could serve as a cost-effective and convenient approach for screening individuals at risk of coronary artery disease.

Coronary artery diseaseTrusted Source, the most common form of heart disease, affects Trusted Source18.2 million individuals ages 20 years and older in the United States. Researchers at the Mayo Clinic in Rochester, MN, in collaboration with a researcher from the University of Tel Aviv, Israel, have shown that the analysis of voice samples using artificial intelligence can help predict the risk of coronary artery disease and its complications, such as a heart attack or chest pain.

The early detection of coronary artery disease using this voice analysis approach could potentially improve patient outcomes. This approach relies on the collection of voice samples using a mobile application and could serve as a cost-effective and noninvasive method to remotely screen individuals at risk of coronary artery disease.

Voice samples analysis could be used as a preliminary tool for identifying patients in need of closer attention for coronary artery disease events.

The study’s co-author, Dr. Jaskanwal Deep Singh Sara, a research fellow at Mayo Clinic, says, “We’re not suggesting that voice analysis technology would replace doctors or replace existing methods of healthcare delivery, but we think there’s a huge opportunity for voice technology to act as an adjunct to existing strategies. Providing a voice sample is very intuitive and even enjoyable for patients, and it could become a scalable means for us to enhance patient management.”

The study was presented at the American College of Cardiology conference that took place in April 2-4, 2022, in Washington, DC, and was simultaneously published in the Mayo Clinic Proceedings.

Predicting coronary artery disease risk Coronary artery disease is characterized by the buildup of plaque in the inner walls of coronary arteries, which supply blood to the heart. The buildup of plaque leads to the narrowing or blocking of these arteries, reducing blood supply to the heart. Complications associated with coronary artery disease includeTrusted Source angina or chest pain, heart failure, and heart attack.

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