TRON Enableware Symposium
|Time/Date||Saturday, December 7, 2019 14:00 to 17:00 (open at 13:30)|
|Venue||Akabanedai Campus, INIAD Hall, Toyo University [Access]
TRON Enableware Research Group
|Co-sponsor|| collaboration Hub for University and Business (cHUB), Faculty of Information Networking for Innovation And Design (INIAD), Toyo University
Institute of Infrastructure Application of Ubiquitous Computing (IAUC)
Interfaculty Initiative in Information Studies, the University of Tokyo
|Special Sponsoring Organizations||Daiwa House Group / eSOL Co., Ltd. / Google Cloud Japan G.K. / KYOCERA Communication Systems Co., Ltd. / Meico Electronic Co.,Ltd. / Mobileye, An Intel company / NEC Corporation / PASCO CORPORATION / Personal Media Corporation / SATO HOLDINGS CORPORATION / TNP Partners Corporation / Tokyo Midtown / Toshiba Electronic Device Solutions Corporation / Ubiquitous Computing Technology Corporation / YAZAKI CORPORATION / Yokosuka Telecom Research Park, Inc.|
Large scale disasters such as earthquakes and ty-phoons need a quick medical care of many injured people in a short time to sa ve their lives. Disaster medicine, i.e. medical care during and af ter disasters is mainly handled by rapid deployment medical teams, such as Disaster Medical Assistance Team (DMAT) and Japan Medical Association Team (JMAT), that are sent to the afflicted area and regional hospitals designated as disaster-relief centers by the national government. There is a chance of improving disaster medicine by intro-ducing the IoT and AI technologies into the dis-aster-afflicted area.
TEPS invited Naoto Morimura M.D. Ph.D, professor of the Graduate School of Medicine, University of Tokyo this year. Pro f. Morimura has been involved many disaster medicine cases in and outside Japan including the disaster medicine after the 2011 Tō hoku earthquake and tsunami. He serves as the chairperson of Academi c Joint Committee of Emergency Medical Preparedness during Tokyo Olympic/Paralympic 2020.
Through Prof. Morimura’s speech and panel dis-cussion that followed, we could deepen our un-derstanding of the role of IoT and AI technologies for disaster medicine and how we can take advantage of them.