医工連携研究支援
医工融合プロジェクトの立ち上げ、実装・実証の相談、共同研究体制の設計
| できること | 窓口担当者 | よくある相談 |
| 医療機器・システム開発の研究支援 | 北原 格 | 医療機器やシステム開発について支援してほしい |
| ロボット支援技術の医療応用 | 北原 格 | 開発したロボット支援技術を臨床で実証したい |
| 医工融合プロジェクトの企画・立案 | 北原 格 | 医工融合プロジェクトのデザインを支援してほしい |
主な連携先
事前に用意いただきたい情報
開発したい技術・機器の概要、想定する臨床応用、研究体制
Hospital Data
Surgical, Inpatient, and Facility Data
Representation of hospital information in 3D space
・Next-generation operation room
・Automatic Operation System in
・Hospitalization life support system, etc.
Making Hospitals Happy

Data to be utilized
Surgical records, medical record information, ECG, blood draw results, EEG, etc.
Area of expertise
Image/spatial analysis, video analysis, each medical department
Initiative
It handles a wide variety of hospital data in a comprehensive manner.In particular, video data, spatial recognition data, and information contained in electronic medical records will be used to promote AI applications in the medical field.AI technology is used to solve complex problems that are difficult for the human eye to determine, improving diagnostic accuracy and operational efficiency.This division supports the delivery of innovative medical services with the goal of creating the smart hospital of the future.
Head of Digital Hospital Division
KITAHARA Itaru, Professor (Center for Computational Sciences)
| INOUE Yoshiaki, professor | Institute of Medicine |
| ODA Tatsuya, professor | Institute of Medicine |
| KUDO Hiroyuki, professor | Institute of Systems and Information Engineering |
| YAJIMA Hidenobu, Associate Professor | Center for Computational Sciences |
| IKEDA Atsushi, Assistant Professor | Institute of Medicine |