Does an artificial intelligence (AI)-enabled digital stethoscope improve the detection of clinically significant valvular heart disease in primary care compared with analogue auscultation alone?
An AI-enabled digital stethoscope significantly improves the point-of-care detection of moderate-to-severe valvular heart disease in primary care compared to traditional analogue auscultation.
Aims: Valvular heart disease (VHD) can affect more than one in two adults over 65 yet remains underdiagnosed due to the limitations of traditional auscultation. Earlier detection is critical for improving outcomes, but many cases go unrecognized. This study evaluates whether an artificial intelligence (AI)-enabled digital stethoscope can augment primary care providers' (PCPs) ability to detect clinically significant VHD compared with analogue auscultation alone. Methods and results: < 0.001) compared with SOC. Artificial intelligence detected 12 cases of previously undiagnosed mod+ VHD, while routine auscultation identified 6. Conclusion: Artificial intelligence-enabled digital stethoscopes significantly improve point-of-care VHD detection, offering a promising tool for earlier diagnosis and intervention in primary care settings.
Published in EHJ-Digital Health, this study shows an AI-powered stethoscope more than doubled the detection of valvular heart disease in primary care, creating widespread news coverage.
Rancier et al. (Tue,) studied this question.