Session Details
一般口演33 AI・教育
Fri. Sep 19, 2025 5:35 PM - 6:40 PM JST
Fri. Sep 19, 2025 8:35 AM - 9:40 AM UTC
Fri. Sep 19, 2025 8:35 AM - 9:40 AM UTC
第3会場（城山ホテル鹿児島 2F クリスタルガーデンB）
座長：曾根 献文（東京大学）
[O2-028]Use of SurVis-Hys in Total Laparoscopic Hysterectomy: An AI System for Ureter and Bladder Identification
○Kamitani Hinako, Miyata KoheiKohei, Shigekawa Koichiro, Aguni Yume, Harada Reiji, Moroi Akihito, Kiyoshima Chihiro, Yoshikawa Kenichi, Yotsumoto Fusanori (Department of Obstetrics and Gynecology, Faculty of Medicine, Fukuoka University)
[O2-029]演題取下げ
[O2-030]Experience of using the AI surgical support system Survis-Hys in laparoscopic total hysterectomy
○Hyakutake Saaya1, Ishikawa Horoshi1, Saoyo Ootsuka1, Okuya Rie1, Nakamura Natsuko1, Habu Yuuji1, Takenaka Shin2, Kouga Kawori1 (1.Obstetrics and Gynecology, Chiba University Hospital, Chiba, Japan, 2.Gynecology, National Cancer Hospital East, Chiba, Japan)
[O2-031]Comparison of the ureteral imaging techniques using AI models and fluorescence method
○Ochi Yoshifumi, Kashiwabara Tomoka, Oonishi Yuto, Iwata Taisuke, Sawai Yuudai, Higuchi Naofumi, Masuda Sayaka, Onji Hiroshi, Taniguchi Ryo, Kurose Yoshiko, Kanno Kiyoshi, Sawada Mari, Yanai Shiori, Hoshiba Tsutomu, Andou Masaaki (Kurashiki Medical Center)
[O2-032]Application of an Automated Surgical Phase Recognition Model for Skill Assessment in Laparoscopic Total Hysterectomy
○Baba Nao1, Takenaka Shin1,3, Takai Risa1,4, Takeshita Yoshinobu1, Koga Kaori2, Ito Masaaki1 (1.National Cancer Center Hospital East,NEXT Medical Device Development Promotion Department, 2.Chiba University Hospital,Department of Obstetrics and Gynecology, 3.Showa University Hospital,Department of Obstetrics and Gynecology, 4.Department of Reproductive,Developmental and Aging Medicine,Graduate School of Medicine,The University of Tokyo)
[O2-033]A Simple Evaluation Method for Quantifying White Surgery
○Ichikawa Fuyuki, Koike Makoto, Matsutani Kazuna, Nagase Yoshikazu, Tanaka Asuka, Yoshimura Akihiko, Oka Fujihiro, Yokoi Takeshi (市立貝塚病院 産婦人科)
[O2-034]Experience with Robot-Assisted Hysterectomy Using SurVis-Hys: An AI-Based System for Identifying Ureters and Bladder
○Harada Reiji, Miyata Kohei, Shigekawa Koichiro, Aguni Yume, Kamitani Hinako, Moroi Akihito, Kiyoshima Chihiro, Yoshikawa Kenichi, Yotsumoto Fusanori (Department of Obstetrics and Gynecology, Faculty of Medicine, Fukuoka University)
[O2-035]Accuracy of Ureter Recognition by AI in Endoscopic Surgery: A Retrospective Analysis of 35 Cases of Ureteral Injury at Our Institution
○Higuchi Naofumi, Ochi Yoshifumi, Kashiwabara Tomoka, Onishi Yuto, Iwata Taisuke, Sawai Yudai, Masuda Sayaka, Onji Hiroshi, Taniguchi Ryo, Kurose Yoshiko, Kanno Kiyoshi, Sawada Mari, Yanai Shiori, Hoshiba Tsutomu, Andou Masaaki (倉敷成人病センター)