Publications by authors named "Takeru Shiraga"
Simple sensor-based procedures, including auscultation and electrocardiography (ECG), can facilitate early diagnosis of valvular diseases, resulting in timely treatment. This study assessed the impact of combining these sensor-based procedures with machine learning on diagnosing valvular abnormalities and ventricular dysfunction. Data from auscultation at three distinct locations and 12-lead ECGs were collected from 1052 patients undergoing echocardiography.
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- Researchers created a smartphone app using artificial intelligence (AI) to help doctors check for a serious heart condition called aortic valve stenosis (AS), especially in older people.
- They tested different AI methods to improve how accurately the app can detect AS by listening to heart sounds from various parts of the body.
- The app performed really well, detecting AS with high accuracy, and it could help doctors learn more about heart sounds and give remote help to patients.