How AI May Transform Musculoskeletal Imaging.

Journal: Radiology
PMID: 38165245

Abstract

While musculoskeletal imaging volumes are increasing, there is a relative shortage of subspecialized musculoskeletal radiologists to interpret the studies. Will artificial intelligence (AI) be the solution? For AI to be the solution, the wide implementation of AI-supported data acquisition methods in clinical practice requires establishing trusted and reliable results. This implementation will demand close collaboration between core AI researchers and clinical radiologists. Upon successful clinical implementation, a wide variety of AI-based tools can improve the musculoskeletal radiologist's workflow by triaging imaging examinations, helping with image interpretation, and decreasing the reporting time. Additional AI applications may also be helpful for business, education, and research purposes if successfully integrated into the daily practice of musculoskeletal radiology. The question is not whether AI will replace radiologists, but rather how musculoskeletal radiologists can take advantage of AI to enhance their expert capabilities.

Authors

  • Ali Guermazi
    Department of Radiology, Boston University School of Medicine, Boston, MA, 02118, USA.
  • Patrick Omoumi
    Department of Radiology, Lausanne University Hospital and University of Lausanne, Switzerland, Lausanne, Switzerland.
  • Mickael Tordjman
    From the Department of Radiology, Boston University School of Medicine, Boston, Mass (A.G., F.W.R., D.H.); Department of Radiology, VA Boston Healthcare System, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.); Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (P.O.); Department of Radiology, Hotel Dieu Hospital and University Paris Cité, Paris, France (M.T.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F., R.K.); Gleamer, Paris, France (N.E.R.); Réseau d'Imagerie Sud Francilien, Clinique du Mousseau Ramsay Santé, Evry, France (N.E.R.); Pôle Médical Sénart, Lieusaint, France (N.E.R.); Department of Radiology and Imaging, Hospital for Special Surgery and Weill Cornell Medicine, New York, NY (J.C.); Department of Radiology and Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, Penn (C.E.K.); Departments of Artificial Intelligence in Biomedical Engineering (F.K.) and Radiology (F.W.R.), Universitätsklinikum Erlangen & Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany (F.K.); School of Medicine & Computation, Information and Technology Klinikum rechts der Isar, Technical University Munich, München, Germany (D.R.); Department of Computing, Imperial College London, London, England (D.R.); and Department of Radiology, Tufts Medical Center, Tufts University School of Medicine, Boston, Mass (D.H.).
  • Jan Fritz
    The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N. Caroline St., Room 4223, Baltimore, MD, 21287, USA. jfritz9@jhmi.edu.
  • Richard Kijowski
    Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
  • Nor-Eddine Regnard
    From the Department of Radiology, Hôpital Fondation A. de Rothschild, 25 rue Manin, 75019 Paris, France (L.D.); Faculty of Medicine, Université de Paris, Paris, France (L.D., A. Feydy); Gleamer, Paris, France (A.D., C.A., N.C., Z.Z., N.N., E.L., A.P., N.E.R.); Department of Biostatistics, CHU Rouen, Rouen, France (A.G.); Department of Radiology, Hôpital Hôtel-Dieu, Assistance Publique-Hôpitaux de Paris, Paris, France (J.L.); Department of Radiology, Hôpital Ambroise-Paré, Assistance Publique-Hôpitaux de Paris, Boulogne-Billancourt, France (A. Felter); Department of Radiology, Hôpital Raymond-Poincaré, Assistance Publique-Hôpitaux de Paris, Garches, France (A. Felter); and Department of Radiology B, Hôpital Cochin, Assistance Publique-Hôpitaux de Paris, Paris, France (L.L., N.E.R., A. Feydy).
  • John Carrino
    From the Department of Radiology, Boston University School of Medicine, Boston, Mass (A.G., F.W.R., D.H.); Department of Radiology, VA Boston Healthcare System, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.); Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland (P.O.); Department of Radiology, Hotel Dieu Hospital and University Paris Cité, Paris, France (M.T.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F., R.K.); Gleamer, Paris, France (N.E.R.); Réseau d'Imagerie Sud Francilien, Clinique du Mousseau Ramsay Santé, Evry, France (N.E.R.); Pôle Médical Sénart, Lieusaint, France (N.E.R.); Department of Radiology and Imaging, Hospital for Special Surgery and Weill Cornell Medicine, New York, NY (J.C.); Department of Radiology and Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, Penn (C.E.K.); Departments of Artificial Intelligence in Biomedical Engineering (F.K.) and Radiology (F.W.R.), Universitätsklinikum Erlangen & Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany (F.K.); School of Medicine & Computation, Information and Technology Klinikum rechts der Isar, Technical University Munich, München, Germany (D.R.); Department of Computing, Imperial College London, London, England (D.R.); and Department of Radiology, Tufts Medical Center, Tufts University School of Medicine, Boston, Mass (D.H.).
  • Charles E Kahn
    Perelman School of Medicine, University of Pennsylvania, Philadelphia 19104, USA.
  • Florian Knoll
    Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, New York, USA.
  • Daniel Rueckert
    Biomedical Image Analysis (BioMedIA) Group, Department of Computing, Imperial College London, UK. Electronic address: d.rueckert@imperial.ac.uk.
  • Frank W Roemer
    Department of Radiology, Boston University School of Medicine, Boston, United States; Department of Radiology, Friedrich-Alexander University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany. Electronic address: Frank.Roemer@uk-erlangen.de.
  • Daichi Hayashi
    Department of Radiology, Stony Brook Medicine, State University of New York, United States; Department of Radiology, Boston University School of Medicine, Boston, United States. Electronic address: Daichi.Hayashi@stonybrookmedicine.edu.

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