AI uses voice biomarkers to predict coronary artery disease

The researchers used a smartphone app developed for AI voice analysis. They were able to predict coronary artery disease outcomes in patients that were given an initial voice screening and then followed for several years. — Dreamstime/TNS

Imagine being able to record yourself reading and then having your clinician use those recordings to screen for various diseases, even from thousands of miles away. This technology may sound like science fiction, but Mayo Clinic researchers are using artificial intelligence (AI) to discover and test what the voice can reveal about a patient's heart health.

In a recent study, the research team used an AI trained for specific vocal biomarkers to accurately predict which patients were more likely to have clogged arteries that led to further heart problems. Dr Jaskanwal Deep Sara, a cardiology fellow at Mayo Clinic, is the study's lead author. A news release from the American College of Cardiology (ACC) explains the study methods and findings that were published online first in the medical journal Mayo Clinic Proceedings.