Development and application of an intelligent platform for automated recognition of surgical instruments in laparoscopic procedures: a multicenter retrospective study [experimental studies].

Journal: International journal of surgery (London, England)
Published Date:

Abstract

BACKGROUND: Surgical videos offer rich intraoperative data critical for surgical education, quality control, and skill assessment. However, their increasing volume and complexity render manual review impractical. To address this challenge, this study aims to develop an intelligent platform capable of automatically recognizing and visualizing intraoperative surgical instrument usage, and to evaluate its clinical utility in real-world surgical settings.

Authors

  • Ran Hu
    Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, ON, Canada.
  • Ming Tang
    Business School, Sichuan University, Chengdu 610064, China. tangming0716@163.com.
  • Yi Jin
    College of Biological Sciences and Biotechnology, Beijing Forestry UniversityBeijing, China; Center for Computational Biology, Beijing Forestry UniversityBeijing, China.
  • Lelang Xiang
    Department of General Surgery, Division of Pancreatic Surgery, West China Hospital of Sichuan University, Chengdu, China.
  • Keyu Li
  • Bing Peng
    Department of Pancreatic Surgery, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, Sichuan 610041 China.
  • Jie Liu
    School of Bioscience and Bioengineering, South China University of Technology, Guangzhou, China.
  • Dian Qin
    College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China.
  • Long Liang
    Department of Radiology, Guangdong General Hospital/Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, P.R. China.
  • Yichuan Li
    Hepatobiliary and Pancreatic Surgery, Guang'an People's Hospital, Guang'an.
  • Linxun Liu
    Department of General Surgery, Qinghai Provincial People's Hospital, Xining, China.
  • Chunrong Wang
    Department of Hepatobiliary Surgery, Xuanhan People's Hospital, Dazhou.
  • Yong Xiong
    Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
  • Peilin Dai
    West China School of Medicine, West China Hospital of Sichuan University, Chengdu, China.
  • Ang Li
    Section of Hematology-Oncology, Department of Medicine, Baylor College of Medicine, Houston, Texas; Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington. Electronic address: ang.li2@bcm.edu.
  • Xin Wang
    Key Laboratory of Bio-based Material Science & Technology (Northeast Forestry University), Ministry of Education, Harbin 150040, China.

Keywords

No keywords available for this article.