[Deep Learning-Based Identification of Common Complication Features of Surgical Incisions].

Journal: Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
PMID: 37866947

Abstract

OBJECTIVE: In recent years, due to the development of accelerated recovery after surgery and day surgery in the field of surgery, the average length-of-stay of patients has been shortened and patients stay at home for post-surgical recovery and healing of the surgical incisions. In order to identify, in a timely manner, the problems that may appear at the incision site and help patients prevent or reduce the anxiety they may experience after discharge, we used deep learning method in this study to classify the features of common complications of surgical incisions, hoping to realize patient-directed early identification of complications common to surgical incisions.

Authors

  • Chunlin Zhao
    Department of Thoracic Surgery, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu 610041, China.
  • Shiqi Hu
    College of Electronic Information (Computer Technology), Southwest Petroleum University, Chengdu 610500, China.
  • Tingting He
  • Linyan Yuan
    West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu 610041, China.
  • Xue Yang
    Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China.
  • Jing Wang
    Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China.
  • Xiao Chen
  • Zhimin Liang
    West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu 610041, China.
  • Yuchen Guo
    Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China.
  • Ping Li
    Department of Gastroenterology, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
  • Lingli Li
    Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.

Keywords

External Resources

Popular Topics
Recent Journals