Deep learning-based automatic bleeding recognition during liver resection in laparoscopic hepatectomy.

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作者： Taiki,Sunakawa ^[1] ; Daichi,Kitaguchi ^[2] ; Shin,Kobayashi ^[3] ; Keishiro,Aoki ^[3] ; Manabu,Kujiraoka ^[3] ; Kimimasa,Sasaki ^[3] ; Lena,Azuma ^[2] ; Atsushi,Yamada ^[2] ; Masashi,Kudo ^[3] ; Motokazu,Sugimoto ^[3] ; Hiro,Hasegawa ^[2] ; Nobuyoshi,Takeshita ^[2] ; Naoto,Gotohda ^[4] ; Masaaki,Ito ^[5]

作者单位： Department of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.;Course of Advanced Clinical Research of Cancer, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan.;Surgical Device Innovation Office, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan. ^[1] Surgical Device Innovation Office, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan. ^[2] Department of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan. ^[3] Department of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.;Course of Advanced Clinical Research of Cancer, Juntendo University Graduate School of Medicine, 2-1-1, Hongo, Bunkyo-Ku, Tokyo, 113-8421, Japan. ^[4] Surgical Device Innovation Office, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan. maito@east.ncc.go.jp. ^[5]

关键词 Intraoperative hemorrhage monitoring Laparoscopic surgery advancements Machine learning algorithms Real-time bleeding detection Surgical assistance systems Surgical safety enhancements

主题词肝切除术(Hepatectomy);人类(Humans);腹腔镜检查(Laparoscopy);回顾性研究(Retrospective Studies);失血, 手术(Blood Loss, Surgical);可行性研究(Feasibility Studies);录像(Video Recording)

DOI 10.1007/s00464-024-11331-7

PMID 39557646

发布时间 2024-12-04

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