The Accuracy of Artificial Intelligence Models in Hand/Wrist Fracture and Dislocation Diagnosis: A Systematic Review and Meta-Analysis.

Journal: JBJS reviews
PMID: 39236148

Abstract

BACKGROUND: Early and accurate diagnosis is critical to preserve function and reduce healthcare costs in patients with hand and wrist injury. As such, artificial intelligence (AI) models have been developed for the purpose of diagnosing fractures through imaging. The purpose of this systematic review and meta-analysis was to determine the accuracy of AI models in identifying hand and wrist fractures and dislocations.

Authors

  • Chloe R Wong
    Division of Plastic, Reconstructive & Aesthetic Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
  • Alice Zhu
    Division of General Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
  • Heather L Baltzer
    Division of Plastic, Reconstructive & Aesthetic Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.

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