The diagnostic accuracy of artificial intelligence in thoracic diseases: A protocol for systematic review and meta-analysis.

Journal: Medicine
Published Date: Feb 1, 2020

Abstract

INTRODUCTION: Thoracic diseases include a variety of common human primary malignant tumors, among which lung cancer and esophageal cancer are among the top 10 in cancer incidence and mortality. Early diagnosis is an important part of cancer treatment, so artificial intelligence (AI) systems have been developed for the accurate and automated detection and diagnosis of thoracic tumors. However, the complicated AI structure and image processing made the diagnosis result of AI-based system unstable. The purpose of this study is to systematically review published evidence to explore the accuracy of AI systems in diagnosing thoracic cancers.

Authors

  • Yi Yang
    Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Gang Jin
    Department of Thoracic Surgery, Gansu Provincial Hospital, Lanzhou, China.
  • Yao Pang
    Department of Thoracic Surgery, Gansu Provincial Hospital, Lanzhou, China.
  • Wenhao Wang
    Department of Epidemiology and Medical Statistics School of Public Health, Guangdong Medical University, Dongguan, Guangdong, China.
  • Hongyi Zhang
    Beijing Electric Power Hospital, Capital Medical University, Beijing, 100073.
  • Guangxin Tuo
    Department of Clinical Medicine, Gansu University of Traditional Chinese Medicine.
  • Peng Wu
    Department of Orthopedics, General Hospital of Ningxia Medical University, Yinchuan, China.
  • Zequan Wang
    Department of Thoracic Surgery, Gansu Provincial Hospital, Lanzhou, China.
  • Zijiang Zhu
    Department of Clinical Medicine, Gansu University of Traditional Chinese Medicine.

Keywords

External Resources

Popular Topics
Recent Journals