Thumbnail Image
Publication

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

Abstract
A letter to the Editor describing a study comparing diagnostic performance of artificial intelligence for histologic melanoma recognition with that of 18 international expert pathologists.
Author
Brinker, Titus J.
Schmitt, Max
Krieghoff-Henning, Eva I.
Barnhill, Raymond L.
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
Citations
Altmetric:
Date
2022-03
Type
Correspondence
Subject
Oncology. Pathology., Dermatology
Collections
SWFT Pathology
Show all metadata
Citation
Brinker TJ, Schmitt M, Krieghoff-Henning EI, Barnhill R, Beltraminelli H, Braun SA, Carr R, Fernandez-Figueras MT, Ferrara G, Fraitag S, Gianotti R, Llamas-Velasco M, Müller CSL, Perasole A, Requena L, Sangueza OP, Santonja C, Starz H, Vale E, Weyers W, Hekler A, Kather JN, Fröhling S, Krahl D, Holland-Letz T, Utikal JS, Saggini A, Kutzner H. Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists. J Am Acad Dermatol. 2022 Mar;86(3):640-642. doi: 10.1016/j.jaad.2021.02.009. Epub 2021 Feb 11.
Journal / Source Title
Journal of The American Academy of Dermatology
DOI
10.1016/j.jaad.2021.02.009
URI
http://hdl.handle.net/20.500.14200/995
PMID
33581189
Publisher
Elsevier
Publisher’s URL
Publisher’s statement
Files
Thumbnail Image
Main article
Adobe PDF, 302.52 KB
Note / Copyright