Artificial Intelligence for Hip Fracture Detection and Outcome Prediction: A Systematic Review and Meta-analysis.

Journal: JAMA network open
Published Date:

Abstract

IMPORTANCE: Artificial intelligence (AI) enables powerful models for establishment of clinical diagnostic and prognostic tools for hip fractures; however the performance and potential impact of these newly developed algorithms are currently unknown.

Authors

  • Johnathan R Lex
    Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada; Orthopaedic Biomechanics Lab, Sunnybrook Research Institute, Toronto, ON, Canada.
  • Joseph Di Michele
    Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
  • Robert Koucheki
    Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
  • Daniel Pincus
    Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
  • Cari Whyne
    Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada; Granovsky Gluskin Division of Orthopaedics, Mount Sinai Hospital, Toronto, ON, Canada; Division of Orthopaedic Surgery, Sunnybrook Health Science Centre, Toronto, ON, Canada.
  • Bheeshma Ravi
    Division of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada; Division of Orthopaedic Surgery, Sunnybrook Health Science Centre, Toronto, ON, Canada.