What Are the Applications and Limitations of Artificial Intelligence for Fracture Detection and Classification in Orthopaedic Trauma Imaging? A Systematic Review.

Journal: Clinical orthopaedics and related research
Published Date: Nov 1, 2019

Abstract

BACKGROUND: Artificial-intelligence algorithms derive rules and patterns from large amounts of data to calculate the probabilities of various outcomes using new sets of similar data. In medicine, artificial intelligence (AI) has been applied primarily to image-recognition diagnostic tasks and evaluating the probabilities of particular outcomes after treatment. However, the performance and limitations of AI in the automated detection and classification of fractures has not been examined comprehensively.

Authors

  • David W G Langerhuizen
    D. W. G. Langerhuizen, R. L. Jaarsma, J. N. Doornberg, Flinders University, Department of Orthopaedic and Trauma Surgery, Flinders Medical Centre, Adelaide, Australia S. J. Janssen, Department of Orthopaedic Surgery, Amphia Hospital, Breda, the Netherlands W. H. Mallee, G. M. M. J. Kerkhoffs, Department of Orthopaedic Surgery, Amsterdam Movement Sciences, Amsterdam University Medical Centre, Amsterdam, the Netherlands M. P. J. van den Bekerom, Department of Orthopaedic Surgery, Onze Lieve Vrouwe Gasthuis, Amsterdam, the Netherlands D. Ring, Department of Surgery and Perioperative Care, Dell Medical School, the University of Texas at Austin, Austin, TX, USA.
  • Stein J Janssen
  • Wouter H Mallee
  • Michel P J van den Bekerom
  • David Ring
  • Gino M M J Kerkhoffs
  • Ruurd L Jaarsma
  • Job N Doornberg

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