Artificial intelligence-based three-dimensional templating for total joint arthroplasty planning: a scoping review.

Journal: International orthopaedics
Published Date: Jan 15, 2024

Abstract

PURPOSE: The purpose of this review is to evaluate the current status of research on the application of artificial intelligence (AI)-based three-dimensional (3D) templating in preoperative planning of total joint arthroplasty.

Authors

  • Ausberto Velasquez Garcia
    Mayo Clinic Department of Orthopedic Surgery, Rochester, MN, 55905, USA.
  • Lainey G Bukowiec
    Mayo Clinic Department of Orthopedic Surgery, Rochester, MN, 55905, USA.
  • Linjun Yang
    Department of Orthopedics and Rehabilitation, University of Iowa, Iowa City, IA, USA.
  • Hiroki Nishikawa
    Mayo Clinic Department of Orthopedic Surgery, Rochester, MN, 55905, USA.
  • James S Fitzsimmons
    Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA; Biomechanics Core Facility, Mayo Clinic, Rochester, MN, USA.
  • A Noelle Larson
    Department of Orthopedic Surgery, Orthopedic Surgery Artificial Intelligence Laboratory (OSAIL), Mayo Clinic, Rochester, Minnesota; Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota.
  • Michael J Taunton
    Department of Health Sciences Research, Mayo Clinic, Rochester, MN; Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN.
  • Joaquin Sanchez-Sotelo
    Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA.
  • Shawn W O'Driscoll
    Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA.
  • Cody C Wyles
    Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN.

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