Artificial intelligence-based automated laparoscopic cholecystectomy surgical phase recognition and analysis.

Journal: Surgical endoscopy
Published Date: Jul 6, 2021

Abstract

BACKGROUND: Artificial intelligence and computer vision have revolutionized laparoscopic surgical video analysis. However, there is no multi-center study focused on deep learning-based laparoscopic cholecystectomy phases recognizing. This work aims to apply artificial intelligence in recognizing and analyzing phases in laparoscopic cholecystectomy videos from multiple centers.

Authors

  • Ke Cheng
    School of Computer Science and Engineering, Jiangsu University of Science and Technology, No. 2 Mengxi Road, Zhenjiang 212003, China.
  • Jiaying You
    Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, Manitoba, Canada; Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Manitoba, Canada; George & Fay Yee Centre for Healthcare Innovation, University of Manitoba, Winnipeg, Manitoba, Canada.
  • Shangdi Wu
    West China School of Medicine, West China Hospital of Sichuan University, Chengdu, China.
  • Zixin Chen
    West China School of Medicine, West China Hospital of Sichuan University, Chengdu, China.
  • Zijian Zhou
    State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics and Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China.
  • Jingye Guan
    ChengDu Withai Innovations Technology Company, Chengdu, China.
  • Bing Peng
    Department of Pancreatic Surgery, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, Sichuan 610041 China.
  • Xin Wang
    Key Laboratory of Bio-based Material Science & Technology (Northeast Forestry University), Ministry of Education, Harbin 150040, China.

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