Real-time automatic detection of gynecological laparoscopic surgical instruments and exploration in surgical skills assessment application: a cross-sectional study.

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

Abstract

BACKGROUND: Automatic detection of surgical instruments is essential for Artificial Intelligence Surgery. This study aimed to construct a large-scale dataset of gynecological laparoscopic surgical instruments based on real surgical scenarios, achieve high-precision real-time detection of surgical instruments, and explore their potential application in surgical skill evaluation.

Authors

  • Huanyu Wei
    Department of Obstetrics and Gynecology, The First Affiliated Hospital of Army Medical University (Third Military Medical University), Chongqing, China.
  • Li Deng
    Jingtai Technology Co. Ltd Floor 4, No. 9, Yifenghua Industrial Zone, 91 Huaning Road, Longhua District Shenzhen Guangdong Province 518109 China.
  • Xueju Wu
    Department of Obstetrics and Gynecology, The First Affiliated Hospital of Army Medical University (Third Military Medical University), Chongqing, China.
  • Wenwei Tan
    Department of Obstetrics and Gynecology, The First Affiliated Hospital of Army Medical University (Third Military Medical University), Chongqing, China.
  • Yi Wu
    School of International Communication and Arts, Hainan University, Haikou, China.
  • Bin Yi
    Department of Anesthesiology, Southwest Hospital, Third Military Medical University, Chongqing, China.
  • Yudi Li
    Department of Obstetrics and Gynecology, The First Affiliated Hospital of Army Medical University (Third Military Medical University), Chongqing, China.
  • Ruiwei Wang
    Department of Obstetrics and Gynecology, The First Affiliated Hospital of Army Medical University (Third Military Medical University), Chongqing, China.
  • Xiaolong Liang
    Department of Orthopedics, the First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China.
  • Yin Chen
    The Byoryn Technology Co., Ltd, Shenzhen, 518122, China.
  • Hui Wang
    Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Shuai Tang
    Institute of Future Technology, South China University of Technology, Guangdong 511442, China. Electronic address: stanginch@gmail.com.
  • Yanzhou Wang
    Department of Obstetrics and Gynecology, Southwest Hospital, Third Military Medical University, Chongqing, China.

Keywords

No keywords available for this article.