Development and Validation of a Deep Learning Model Using Convolutional Neural Networks to Identify Scaphoid Fractures in Radiographs.

Journal: JAMA network open
PMID: 33956133

Abstract

IMPORTANCE: Scaphoid fractures are the most common carpal fracture, but as many as 20% are not visible (ie, occult) in the initial injury radiograph; untreated scaphoid fractures can lead to degenerative wrist arthritis and debilitating pain, detrimentally affecting productivity and quality of life. Occult scaphoid fractures are among the primary causes of scaphoid nonunions, secondary to delayed diagnosis.

Authors

  • Alfred P Yoon
    Section of Plastic Surgery, Department of Surgery, University of Michigan Medical School, Ann Arbor.
  • Yi-Lun Lee
    Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Taipei, Taiwan.
  • Robert L Kane
    Section of Plastic Surgery, Department of Surgery, University of Michigan Medical School, Ann Arbor.
  • Chang-Fu Kuo
    Department of Rheumatology, Allergy, and Immunology, Chang Gung Memorial Hospital, Taipei, Taiwan, ROC.
  • Chihung Lin
    Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Taipei, Taiwan.
  • Kevin C Chung
    Section of Plastic Surgery, Department of Surgery, University of Michigan Medical School, Ann Arbor.

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