Machine Learning in Radiology: Applications Beyond Image Interpretation.

Journal: Journal of the American College of Radiology : JACR
Published Date: Nov 17, 2017

Abstract

Much attention has been given to machine learning and its perceived impact in radiology, particularly in light of recent success with image classification in international competitions. However, machine learning is likely to impact radiology outside of image interpretation long before a fully functional "machine radiologist" is implemented in practice. Here, we describe an overview of machine learning, its application to radiology and other domains, and many cases of use that do not involve image interpretation. We hope that better understanding of these potential applications will help radiology practices prepare for the future and realize performance improvement and efficiency gains.

Authors

  • Paras Lakhani
    Department of Radiology, Thomas Jefferson University Hospital, Sidney Kimmel Jefferson Medical College, 132 S 10th St, Philadelphia, PA 19107.
  • Adam B Prater
    Department of Biomedical Informatics, Emory School of Medicine, Atlanta, GA, USA.
  • R Kent Hutson
    Radiology Alliance, Colorado Springs, Colorado; Medical Center Radiologists, Virginia Beach, Virginia.
  • Kathy P Andriole
    Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
  • Keith J Dreyer
    Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States; Mass General Brigham Data Science Office (DSO), Boston, MA, United States.
  • Jose Morey
    I.B.M. Watson Research, Yorktown Heights, New York; Department of Radiology, University of Virginia, Charlottesville, Virginia; Medical Center Radiologists, Virginia Beach, Virginia.
  • Luciano M Prevedello
  • Toshi J Clark
    University of Colorado Medical Center, Denver, Colorado.
  • J Raymond Geis
    4 Department of Radiology, University of Colorado School of Medicine, Fort Collins, CO.
  • Jason N Itri
    Department of Radiology, University of Virginia, Charlottesville, Virginia.
  • C Matthew Hawkins
    Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia.

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