Transformer-Based Multilabel Deep Learning Model Is Efficient for Detecting Ankle Lateral and Medial Ligament Injuries on Magnetic Resonance Imaging and Improving Clinicians' Diagnostic Accuracy for Rotational Chronic Ankle Instability.

Abstract

Authors

• Rui Yin
  Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, College of Medicine, FL, USA. Electronic address: ruiyin@ufl.edu.
• Hao Chen
  The First School of Medicine, Wenzhou Medical University, Wenzhou, China.
• Changjiang Wang
• Chaoren Qin
  Department of Sports Medicine and Joint Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
• Tianqi Tao
  Department of Geriatrics, The Second Medical Center, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China. ttqtxt@163.com.
• Yunjia Hao
  Department of Sports Medicine and Joint Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, China; Department of Hand and Foot Microsurgery, Xuzhou Central Hospital, Xuzhou, China.
• Rui Wu
  School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, 611731, China.
• Yiqiu Jiang
  Department of Orthopedics, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China.
• Jianchao Gui
  Nanjing Medical University, Nanjing, China; Department of Sports Medicine and Joint Surgery, Nanjing First Hospital, Nanjing, China. Electronic address: gui1997@126.com.

Keywords

External Resources