Kazuki Taoka, Ph.D., M.D. | The University of Tokyo; Idan Yelin, Ph.D. | Israel Institute of Technology
Competition Sponsor: Japan Agency for Medical Research and Development
Awardee Year: 2020
In the present project, the artificial intelligence-based system for assessing pneumonia in the elderly which was previously developed by the principal investigator would be adapted to create a triage system for determining the severity of COVID19 pneumonia cases. A major emphasis is upon the development of a system which can provide such assessments in real time. The predictive system would be immediately employable as long as COVID19 patient information is available. We believe this system provides a reliable method for quickly and accurately assessing the treatment priorities of COVID19 patients to determine which patients require hospitalization and intensive treatment the most. Thus, our system has the potential to assist healthcare professionals in the present challenge of priority-setting in hospitals, and provides a possible solution to the current overload of healthcare systems due to COVID19 infections.
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