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On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities

Mauricio Reyes1, Raphael Meier1, Sérgio Pereira1

  • 1Artorg Center for Biomedical Research, University of Bern, Murtenstrasse 50, 3008 Bern, Switzerland (M.R.); Insel Data Science Center, University of Bern, Bern, Switerland (F.M.D.); Institute of Diagnostic and Interventional Neuroradiology (R.M., R.W.) and Department of Diagnostic, Interventional and Paediatric Radiology (H.v.T.K.), Inselspital University Hospital Bern, Bern, Switzerland; Center for Microelectromechanical Systems-University of Minho Research Unit, University of Minho, Guimarães, Portugal (S.P., C.A.S.); and Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.).

Radiology. Artificial Intelligence
|June 9, 2020
PubMed

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