SUZUKI Kazufumi
Department School of Medicine(Tokyo Women's Medical University Hospital), School of Medicine Position Assistant Professor |
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Language | English |
Title | Effective surgical education and development of an AI operation system designed for safety improvement and optimal cancer surgery by digitizing |
Conference | Computer Assisted Radiology and Surgery 36th International Congress and Exhibition |
Conference Type | International society and overseas society |
Lecture Type | General |
Publisher and common publisher | ◎BAMBA Yoshiko, OGAWA Shimpei, TOKITOU Fumiaki, OWATARI Hiroka, MORITA Satoru, ITABASHI Michio, SUZUKI Kazufumi, IWADOH Kazuhiro, YAMAGUCHI Tomoko, MASAMUNE Ken, YAMAGUCHI Shigeki |
Date | 2022/06/08 |
Venue (city and name of the country) |
Tokyo |
Holding period | 2022/06/07 |
Society abstract | International Journal of Computer Assisted Radiology and Surgery 17(Suppl 1),S74-75 2022 |
Summary | A surgical brain is the ultimate useful model for diagnosis, treatments,
surgery, and postoperative management. Theorizing and structuring a surgical brain‘‘s decision-making and surgical skills are important for promoting precision medicine. During a laparotomy with no recording equipment many skills were taken over on-site. Recently, a digitized surgery video can be replayed repeatedly by diffusion during laparoscopic surgery and robot-assisted surgery. These surgical videos and perioperative data in electronic charts are now easily available, with their implementation being less-invasive in AI-navigated image-guided surgery. This effectively avoids risks during the perioperative period and can be achieved by analyzing data in detail using AI [1]. |