Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety

J Raymond Geis1, Adrian P Brady1, Carol C Wu1

  • 1From the American College of Radiology Data Science Institute, Reston, Va (J.R.G.); Department of Radiology, National Jewish Health, 3401 Shore Rd, Fort Collins, CO 80524 (J.R.G.); Mercy University Hospital, Cork, Ireland (A.B.); University of Texas MD Anderson Cancer Center, Houston, Tex (C.C.W.); MIT, Department of Linguistics and Philosophy, Cambridge, Mass (J.S.); Netherlands Cancer Institute, Amsterdam, the Netherlands (E.R.); Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada (J.L.J.); Radiology Department-Mayo Clinic, Rochester, Minn (S.G.L.); Lahey Hospital & Medical Center, Burlington, Mass (A.B.K.); Pelvic Pain Support Network, Poole, UK (J.B.); General Counsel, American College of Radiology, Reston, Va (W.F.S.); Center of Law and Internet, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands (R.v.d.H.v.G.); Department of Radiology, University Medical Center, Freiburg, Germany (E.K.); Department of Interventional Radiology, Oregon Health & Science University, Portland, Ore (J.W.G.); Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (J.W.G., N.MS.); Department of Radiology, University of Pennsylvania, Philadelphia, Pa (T.S.C.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (M.B.M.); Centre de Recherche du Centre Hospitalier de L'Université de Montréal, Quebec, Canada (A.T.); and Department of Radiology and Biomedical Imaging, UCSF, San Francisco, Calif (M.K.).

Radiology
|October 2, 2019
PubMed

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