スズキ カズフミ
Suzuki Kazufumi
鈴木 一史 所属 医学部 医学科(東京女子医科大学病院) 職種 講師 |
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言語種別 | 英語 |
発表タイトル | Effective surgical education and development of an AI operation system designed for safety improvement and optimal cancer surgery by digitizing |
会議名 | Computer Assisted Radiology and Surgery 36th International Congress and Exhibition |
学会区分 | 国際学会及び海外の学会 |
講演区分 | 一般 |
発表者・共同発表者 | ◎BAMBA Yoshiko, OGAWA Shimpei, TOKITOU Fumiaki, OWATARI Hiroka, MORITA Satoru, ITABASHI Michio, SUZUKI Kazufumi, IWADOH Kazuhiro, YAMAGUCHI Tomoko, MASAMUNE Ken, YAMAGUCHI Shigeki |
発表年月日 | 2022/06/08 |
開催地 (都市, 国名) |
Tokyo |
開催期間 | 2022/06/07 |
学会抄録 | International Journal of Computer Assisted Radiology and Surgery 17(Suppl 1),S74-75 2022 |
概要 | 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]. |