Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists

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Bibliographic Details
Published inJournal of the American Academy of Dermatology Vol. 86; no. 3; pp. 640 - 642
Main Authors Brinker, Titus J., Schmitt, Max, Krieghoff-Henning, Eva I., Barnhill, Raymond, Beltraminelli, Helmut, Braun, Stephan A., Carr, Richard, Fernandez-Figueras, Maria-Teresa, Ferrara, Gerardo, Fraitag, Sylvie, Gianotti, Raffaele, Llamas-Velasco, Mar, Müller, Cornelia S.L., Perasole, Antonio, Requena, Luis, Sangueza, Omar P., Santonja, Carlos, Starz, Hans, Vale, Esmeralda, Weyers, Wolfgang, Hekler, Achim, Kather, Jakob N., Fröhling, Stefan, Krahl, Dieter, Holland-Letz, Tim, Utikal, Jochen S., Saggini, Andrea, Kutzner, Heinz
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.03.2022
Subjects
Artificial Intelligence
Humans
Melanoma - diagnosis
Melanoma - pathology
Pathologists
Skin Neoplasms - diagnosis
Skin Neoplasms - pathology
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Bibliography:SourceType-Other Sources-1
content type line 63
ObjectType-Correspondence-1
ISSN:0190-9622
1097-6787
DOI:10.1016/j.jaad.2021.02.009