Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists - 17/02/22
, Max Schmitt, MSc a, Eva I. Krieghoff-Henning, PhD a, Raymond Barnhill, MD b, Helmut Beltraminelli, MD c, Stephan A. Braun, MD d, e, Richard Carr, MD f, Maria-Teresa Fernandez-Figueras, MD g, Gerardo Ferrara, MD h, Sylvie Fraitag, MD i, Raffaele Gianotti, MD j, Mar Llamas-Velasco, MD k, Cornelia S.L. Müller, MD l, Antonio Perasole, MD m, Luis Requena, MD n, o, Omar P. Sangueza, MD p, Carlos Santonja, MD n, Hans Starz, MD q, Esmeralda Vale, MD r, Wolfgang Weyers, MD s, Achim Hekler, Dipl-Inform a, Jakob N. Kather, MD t, u, Stefan Fröhling, MD u, Dieter Krahl, MD v, Tim Holland-Letz, PhD w, Jochen S. Utikal, MD x, y, Andrea Saggini, MD z, Heinz Kutzner, MD z| Funding sources: This work was supported by the German Federal Ministry of Health, Berlin, Germany [grant: Skin-Classification-Project to TJB; German Cancer Research Center]. |
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| IRB approval status: Ethics approval was obtained from the ethics committee of the Medical Faculty of Mannheim of the University of Heidelberg, 68131 Mannheim, Germany, before the study was initiated. |
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| Reprints not available from the authors. |
Vol 86 - N° 3
P. 640-642 - mars 2022 Retour au numéroBienvenue sur EM-consulte, la référence des professionnels de santé.
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