Generation of surgical reports for lymph node dissection during laparoscopic gastric cancer surgery based on artificial intelligence.

Journal: International journal of computer assisted radiology and surgery
PMID:

Abstract

PURPOSE: This study aimed to develop an artificial intelligence (AI) model for the surgical report output of laparoscopic lymph node dissection in the suprapancreatic region during gastric cancer surgery.

Authors

  • Yuhao Zhai
    Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, 95 Yong'an Road, Xicheng District, Beijing, China.
  • Zhen Chen
    School of Basic Medicine, Qingdao University, Qingdao 266021, China.
  • Xingjian Luo
    Centre for Artificial Intelligence and Robotics (CAIR), Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Shantin, China.
  • Zhi Zheng
    Department of Chemical Engineering, School of Chemistry and Chemical Engineering, Nanjing University.
  • Haiqiao Zhang
    Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, 95 Yong'an Road, Xicheng District, Beijing, China.
  • Xi Wang
    School of Information, Central University of Finance and Economics, Beijing, China.
  • Xiaosheng Yan
    Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, 95 Yong'an Road, Xicheng District, Beijing, China.
  • Xiaoye Liu
    Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, 95 Yong'an Road, Xicheng District, Beijing, China.
  • Jie Yin
  • Jinqiao Wang
    CBSR & NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China. Electronic address: jqwang@nlpr.ia.ac.cn.
  • Jun Zhang
    First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.