Symptoms of valvular heart disease (VHD) are often non-specific, and traditional cardiac auscultation has limited sensitivity (44%) in detecting VHD, leaving many cases undiagnosed. To address this gap, a study evaluated an artificial intelligence (AI)-enabled electronic stethoscope in 357 individuals aged 50 years or older who were at risk of heart disease. The AI-enabled device demonstrated substantially higher sensitivity than analogue auscultation (92.3% vs 46.2%), though with lower specificity (86.9% vs 95.6%).
Notably, AI-augmented auscultation identified 12 previously undiagnosed cases of moderate-or-worse VHD, compared with six detected by conventional examination. These findings suggest that AI-enabled electronic stethoscopes may facilitate earlier detection of valvular heart disease and could serve as a promising tool in primary care settings. ##Reference## Rancier M, Israel…
