Deep learning risk assessment models for predicting progression of radiographic medial joint space loss over a 48-MONTH follow-up period.

Abstract

Authors

• B Guan
  Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA; Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, USA. Electronic address: gbochen@wisc.edu.
• F Liu
  Department of Radiology, Massachusetts General Hospital, Harvard University, Boston, MA, USA. Electronic address: fliu12@mgh.harvard.edu.
• A Haj-Mirzaian
  Department of Radiology, Johns Hopkins University, Baltimore, MD, USA. Electronic address: arya.mirzaian@gmail.com.
• S Demehri
  Department of Radiology, Johns Hopkins University, Baltimore, MD, USA. Electronic address: demehri2001@yahoo.com.
• A Samsonov
  Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA. Electronic address: samsonov@wisc.edu.
• T Neogi
  Department of Medicine, Boston University, Boston, MA, USA. Electronic address: tneogi@bu.edu.
• A Guermazi
  Department of Radiology, Boston University, Boston, MA, USA. Electronic address: guermazi@bu.edu.
• R Kijowski
  Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA. Electronic address: rkijowski@uwhealth.org.

Keywords

External Resources