Key result
An online survey of 3,648 doctors confirmed auscultation is commonly used and revealed that AI-based heart sound analysis systems are expected to be integrated into clinical practice.
Why the study?
Screening for heart failure and valvular heart disease with traditional auscultation is limited by variability in clinical skills, subjectivity, and sounds inaudible to the human ear.
Population
3648 doctors surveyed
Comparison
Remote auscultation and AI-based analysis vs traditional auscultation
Design
Literature review, device development description, and online market needs survey
Authors
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Clinicians anticipate AI-augmented auscultation; leaves open need for prospective validation before practice change.
The development of the Super StethoScope addresses limitations of traditional auscultation by capturing inaudible frequencies and ECG data, aligning with surveyed clinicians' expectations for AI-integrated diagnostic tools.
Ogawa et al. (2023) studied Heart failure and valvular heart diseases (n=3,648). Super StethoScope and AI-based heart sound analysis was evaluated on Market needs survey on traditional and remote auscultation. An online survey of 3,648 doctors confirmed auscultation is commonly used and revealed that AI-based heart sound analysis systems are expected to be integrated into clinical practice.
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