Continuous Learning AI in Radiology: Implementation Principles and Early Applications.

Journal: Radiology
Published Date: Aug 25, 2020

Abstract

Artificial intelligence (AI) is becoming increasingly present in radiology and health care. This expansion is driven by the principal AI strengths: automation, accuracy, and objectivity. However, as radiology AI matures to become fully integrated into the daily radiology routine, it needs to go beyond replicating static models, toward discovering new knowledge from the data and environments around it. Continuous learning AI presents the next substantial step in this direction and brings a new set of opportunities and challenges. Herein, the authors discuss the main concepts and requirements for implementing continuous AI in radiology and illustrate them with examples from emerging applications.

Authors

  • Oleg S Pianykh
    Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts. Electronic address: opianykh@mgh.harvard.edu.
  • Georg Langs
    Department of Biomedical Imaging and Image-guided Therapy Computational Imaging Research Lab, Medical University of Vienna Vienna Austria.
  • Marc Dewey
    Department of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany. dewey@charite.de.
  • Dieter R Enzmann
    Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
  • Christian J Herold
    From the Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, FND-210, Boston, MA 02114-2698 (O.S.P., J.A.B.); International Society for Strategic Studies in Radiology (IS3R), Vienna, Austria (M.D., D.R.E., C.J.H., S.O.S., J.A.B.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria (G.L., C.J.H.); Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Boston, Mass (G.L.); Department of Radiology, Charité-Universitätsmedizin, Berlin, Germany (M.D.); Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Calif (D.R.E.); and Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (S.O.S.).
  • Stefan O Schoenberg
    University Medical Center Mannheim, Faculty of Medicine Mannheim, Institute of Clinical Radiology and Nuclear Medicine, Heidelberg University, Mannheim, Germany.
  • James A Brink

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