Machine learning stethoscope increases sensitivity to detect moderate to severe valvular heart disease in routine care.
US researchers have shown that an AI-enabled digital stethoscope detected moderate to severe heart valve disease more than twice as often as traditional tools during routine clinical exams.
The study evaluated 357 patients aged 50 and older in primary care settings using both traditional and AI-assisted stethoscopes. Sensitivity increased from 46.2 percent for traditional listening to 92.3 percent for AI-enabled devices.
Valvular heart disease affects a large proportion of older adults and is often undiagnosed due to subtle or absent symptoms and the limitations of traditional auscultation in busy clinical settings.
Digital stethoscopes record high-fidelity heart sounds and apply machine learning models to identify acoustic patterns associated with valve abnormalities, helping clinicians make early screening decisions.
The US researchers noted that specificity may be slightly reduced and false positives may increase, but argued that early detection could reduce complications, hospitalizations and long-term medical costs.
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