[Artificial intelligence in breast imaging : Hopes and challenges].

Journal: Radiologie (Heidelberg, Germany)
Published Date:

Abstract

CLINICAL/METHODICAL ISSUE: Artificial intelligence (AI) is being increasingly integrated into clinical practice. However, the specific benefits are still unclear to many users.

Authors

  • Matthias Dietzel
    Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3, 91054, Erlangen, Germany.
  • Alexandra Resch
    From the Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Austria (D.R.); Department of Radiology, Breast Imaging Service, Memorial Sloan-Kettering Cancer Center, New York, NY (R.L.G., J.T.); Center for Medical Physics and Biomedical Engineering, Medical University Vienna, Vienna, Austria (F.S., J.H.); St Francis Hospital Vienna, Vienna, Austria (A.R.); Sigmund Freud University Medical School, Vienna, Austria (A.R.); and Department of Radiology, Division of Breast Imaging, Columbia University Irving Medical Center, 161 Fort Washington Ave, New York, NY 10032 (K.P.).
  • Pascal A T Baltzer
    Universitätsklinik für Radiologie und Nuklearmedizin, allgemeines Krankenhaus der Medizinischen Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich. pascal.baltzer@meduniwien.ac.at.