Precise highlighting of the pancreas by semantic segmentation during robot-assisted gastrectomy: visual assistance with artificial intelligence for surgeons.

Journal: Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association

PMID: 38573374

Abstract

BACKGROUND: A postoperative pancreatic fistula (POPF) is a critical complication of radical gastrectomy for gastric cancer, mainly because surgeons occasionally misrecognize the pancreas and fat during lymphadenectomy. Therefore, this study aimed to develop an artificial intelligence (AI) system capable of identifying and highlighting the pancreas during robot-assisted gastrectomy.

Authors

Tatsuro Nakamura
Nao Kobayashi

Anaut Inc., Tokyo, Japan.
Yuta Kumazu

Department of Surgery, Yokohama City University, Kanagawa, Japan.
Kyohei Fukata

Anaut Inc, WeWork Hibiya Park Front 19F, 2-1-6 Uchisaiwai-cho, Chiyoda-ku, Tokyo, 100-0011, Japan.
Motoki Murakami

Department of Gastroenterological Surgery, Hyogo Medical University, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.
Shugo Kohno

Department of Gastroenterological Surgery, Hyogo Medical University, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.
Yudai Hojo
Eiichiro Nakao

Department of Gastroenterological Surgery, Hyogo Medical University, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.
Yasunori Kurahashi
Yoshinori Ishida
Hisashi Shinohara

Keywords

Algorithms Artificial Intelligence Gastrectomy Humans Pancreas Pancreatic Fistula Postoperative Complications Robotic Surgical Procedures Stomach Neoplasms Surgeons

External Resources

View on PubMed Access via DOI PubMed (38573374)

Precise highlighting of the pancreas by semantic segmentation during robot-assisted gastrectomy: visual assistance with artificial intelligence for surgeons.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals