ShareMedical, Inc. announced that it will conduct joint research on an AI (artificial intelligence) auscultation device that enables early diagnosis and prediction of the severity of a new type of coronavirus pneumonia (COVID-19) using AI (artificial intelligence) in collaboration with Professor Yasuyuki Kobayashi and others at the Department of Applied Research for Medical Information Processing Technology, Graduate School of Medicine, St. Marianna University School of Medicine. The research will be conducted by the Japan Science and Technology Agency (JST). This research has been adopted by the Japan Science and Technology Agency (JST) under the Support Program for Optimal Deployment of Research Results (A-STEP).
An essential device for medical care in the with/after coronary era
Auscultation is an indispensable technique for the diagnosis and differential diagnosis of pneumonia in clinical settings. By combining a digital auscultation device with an automated diagnosis system that uses artificial intelligence, we aim to prevent the spread of infection among medical personnel, etc., while enabling accurate and efficient early diagnosis and prediction of the severity of new coronavirus pneumonia at any medical site, regardless of the experience or ability of the physician, and without the use of simple chest radiographs or CT equipment. In addition, we aim to make it possible to diagnose and predict the severity of new coronavirus pneumonia accurately and efficiently at any medical site where simple chest radiographs or CT systems are not available.
In addition, the new coronavirus pneumonia (COVID-19) can be detected at an early stage even in home nursing care and welfare facilities for the elderly without accompanying physicians. This research aims to develop a device that is indispensable for medical treatment in the with/after coronavirus era, and aims to commercialize an AI auscultation device that is needed not only in Japan but also globally, such as for early diagnosis and prediction of severe disease in emerging countries where medical resources are limited.
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