Validation of a deep learning model for traumatic brain injury detection and NIRIS grading on non-contrast CT: a multi-reader study with promising results and opportunities for improvement.

Abstract

Authors

• Bin Jiang
  Department of Urology, Chinese People's Liberation Army General Hospital, Beijing, 100039 China.
• Burak Berksu Ozkara
  Department of Neuroradiology, MD Anderson Cancer Center, Houston, TX, USA.
• Sean Creeden
  Deparment of Neuroradiology, University of Illinois College of Medicine Peoria, Peoria, IL, USA.
• Guangming Zhu
  1 Department of Radiology, Neuroradiology Division, Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305.
• Victoria Y Ding
  Department of Medicine, Stanford University, Stanford, CA, USA.
• Hui Chen
  Xiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and Science Xiangyang 441000 China.
• Bryan Lanzman
  Department of Radiology, Neuroradiology Division, Stanford University, Stanford, CA, USA.
• Dylan Wolman
  Department of Neuroimaging and Neurointervention, Stanford University, Stanford, CA, USA.
• Sara Shams
  Department of Radiology, Neuroradiology Division, Stanford University, Stanford, CA, USA.
• Austin Trinh
  Department of Neuroimaging and Neurointervention, Stanford University, Stanford, CA, USA.
• Ying Li
  School of Information Engineering, Chang'an University, Xi'an 710010, China.
• Alexander Khalaf
  University of Pittsburgh School of Medicine, PA, USA.
• Jonathon J Parker
  Department of Neurosurgery, Stanford University School of Medicine, United States.
• Casey H Halpern
  Departments of1Neurosurgery and.
• Max Wintermark
  Department of Radiology, Stanford University, Stanford, California, USA.

Keywords

External Resources