AI-enhanced stethoscopes help to spot silent heart valve disease

• A new study suggests that an artificial intelligence (AI) system can correctly identify 98% of patients with severe aortic stenosis and 94% with severe mitral regurgitation using short heart sound recordings from digital stethoscopes.
• Another study also suggests that AI stethoscopes are far more sensitive than traditional options and twice as efficient at detecting valvular heart disease in the clinic.
• The technology could offer a rapid, low-cost screening tool in primary care, helping identify patients who need echocardiography while reducing unnecessary referrals.
• By detecting subtle acoustic patterns, even in patients without obvious heart murmur, the AI could help diagnose valve disease earlier, when treatment is more effective and outcomes are better.

Heart valve disease occurs when one or more of the heart’s four valves do not function properly, disrupting blood flow through the heart. It often results from stiffening or leakage of the valves, known as stenosis or regurgitation, respectively.

Research notes that valvular heart disease poses an escalating global health challenge. The risk of heart valve disease increases with age, with estimates that 1 in 8 adults over age 75 has significant valve disease. Evidence suggests that it affects 2.5% of the United States adult population and causes more than 60,000 deaths in the U.S. each year.

Diagnosing heart valve disease is often challenging, as people are typically asymptomatic until the condition advances, leading to delayed detection. Additionally, many symptoms are nonspecific or mistaken for usual aging.

Current diagnostic methods, such as traditional heart auscultation and echocardiography, can have mixed accuracy or be expensive and time consuming. As a result, there may be a significant proportion of heart valve disease that remains undiagnosed. This is particularly important, as a timely diagnosis and early intervention can significantly improve outcomes.

New research suggests that AI can consistently outperform clinicians and traditional stethoscopes for identifying heart valve disease, and deliver more reliable results, particularly for severe disease.

A study from the University of Cambridge, published in npj Cardiovascular Health, suggests that the technology could be used as a rapid screening tool in primary care settings. Additionally, a US study, published in European Heart Journal – Digital Health, also highlights the potential capabilities of an AI-enabled digital stethoscope.