Artificial intelligence demonstrates potential to enhance orthopaedic imaging across multiple modalities: A systematic review.

Journal: Journal of experimental orthopaedics
Published Date: May 7, 2025

Abstract

PURPOSE: While several artificial intelligence (AI)-assisted medical imaging applications are reported in the recent orthopaedic literature, comparison of the clinical efficacy and utility of these applications is currently lacking. The aim of this systematic review is to evaluate the effectiveness and reliability of AI applications in orthopaedic imaging, focusing on their impact on diagnostic accuracy, image segmentation and operational efficiency across various imaging modalities.

Authors

  • Umile Giuseppe Longo
    Fondazione Policlinico Universitario Campus Bio-Medico Roma Italy.
  • Alberto Lalli
    Fondazione Policlinico Universitario Campus Bio-Medico Roma Italy.
  • Guido Nicodemi
    Fondazione Policlinico Universitario Campus Bio-Medico Roma Italy.
  • Matteo Giuseppe Pisani
    Fondazione Policlinico Universitario Campus Bio-Medico Roma Italy.
  • Alessandro De Sire
    Department of Medical and Surgical Sciences University of Catanzaro "Magna Grecia" Catanzaro Italy.
  • Pieter D'Hooghe
    Department of Orthopaedic Surgery and Sportsmedicine Aspetar Hospital Doha Qatar.
  • Ara Nazarian
    Carl J. Shapiro Department of Orthopaedic Surgery Musculoskeletal Translational Innovation Initiative, Beth Israel Deaconess Medical Center, Harvard Medical School Boston Massachusetts USA.
  • Jacob F Oeding
    School of Medicine, Mayo Clinic Alix School of Medicine Rochester Minnesota USA.
  • Balint Zsidai
    Department of Orthopaedics Institute of Clinical Sciences, The Sahlgrenska Academy University of Gothenburg Gothenburg Sweden.
  • Kristian Samuelsson
    Department of Orthopaedics Institute of Clinical Sciences, The Sahlgrenska Academy University of Gothenburg Gothenburg Sweden.

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