Voice characteristics may predict coronary heart disease risk

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.