Medical Imaging Applications Developed Using Artificial Intelligence Demonstrate High Internal Validity Yet Are Limited in Scope and Lack External Validation.

Journal: Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
PMID: 38325497

Abstract

PURPOSE: To (1) review definitions and concepts necessary to interpret applications of deep learning (DL; a domain of artificial intelligence that leverages neural networks to make predictions on media inputs such as images) and (2) identify knowledge and translational gaps in the literature to provide insight into specific areas for improvement as adoption of this technology continues.

Authors

  • Jacob F Oeding
    School of Medicine, Mayo Clinic Alix School of Medicine Rochester Minnesota USA.
  • Aaron J Krych
    Orthopedic Surgery, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
  • Andrew D Pearle
    Hospital for Special Surgery, New York, NY; Weill Cornell Medical College, New York, NY.
  • Bryan T Kelly
    Sports Medicine - Hip Preservation Service, Hospital for Special Surgery, New York, New York, USA.
  • Kyle N Kunze
    Department of Orthopedic Surgery, Hospital for Special Surgery, New York, NY, USA.

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