Ali Guermazi1, Patrick Omoumi1, Mickael Tordjman1

  • 1From 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.).

Radiology
|January 2, 2024
PubMed
概括

人工智能 (AI) 可以通过改善工作流程和报告时间来解决肌肉骨放射科医生的短缺问题. 人工智能研究人员和放射学家之间的合作是可靠实施的关键,增强专家能力.

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