AI stethoscope doubles detection of serious heart valve disease
Machine-learning stethoscope boosts sensitivity for detecting moderate to severe heart valve disease in everyday care.
Researchers in the United States have shown that an AI-enabled digital stethoscope detected moderate to severe valvular heart disease more than twice as often as traditional tools during routine clinical exams.
The study assessed 357 patients aged 50 and above in primary care settings, using both conventional and AI-assisted stethoscopes. Sensitivity rose from 46.2 percent with traditional listening to 92.3 percent with the AI-enabled device.
Valvular heart disease affects a large proportion of older adults but frequently remains undiagnosed due to subtle or absent symptoms and limitations of conventional auscultation during busy clinical practice.
The digital stethoscope records high-fidelity heart sounds and applies machine-learning models to identify acoustic patterns associated with valve abnormalities, helping clinicians make early screening decisions.
US researchers noted a small drop in specificity that could increase false positives, but argued that earlier detection could reduce complications, hospital admissions, and long-term healthcare costs.
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