Development and validation of a deep-learning based assistance system for enhancing laparoscopic control level.

Journal: The international journal of medical robotics + computer assisted surgery : MRCAS
PMID: 35922092

Abstract

BACKGROUND AND AIMS: Inter-operator variations in the level of intraoperative laparoscope control by surgeons influence surgical outcomes. We aimed to construct a laparoscopic surgery quantification system (LSQS) for real-time evaluation of the surgeon's laparoscope control to improve intraoperative manipulation of the laparoscope.

Authors

  • Qingyuan Zheng
    Department of Urology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
  • Rui Yang
    Department of Biomedical Informatics, Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore.
  • Song Yang
    Key Laboratory of Pesticide Toxicology&Application Technique, College of Plant Protection, Shandong Agricultural University, Tai'an 271018, China.
  • Xinmiao Ni
    Department of Urology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
  • Yanze Li
    Department of Urology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
  • Zhengyu Jiang
    Department of Urology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
  • Xinyu Wang
    Department of Endocrinology, Institute of Translational Medicine, Health Science Center, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, Guangdong, China.
  • Lei Wang
    Department of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Zhiyuan Chen
    Department of Urology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
  • Xiuheng Liu
    Department of Urology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.

Keywords

External Resources

Popular Topics
Recent Journals