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

Brinker, Titus J.
; 
Schmitt, Max
; 
Krieghoff-Henning, Eva I.
; 
Barnhill, Raymond L.
; 
Beltraminelli, Helmut
; 
Braun, Stephan A.
; ; 
Fernandez-Figueras, Maria-Teresa
; 
Ferrara, Gerardo
; 
Fraitag, Sylvie
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Affiliation
South Warwickshire University NHS Foundation Trust; et al.
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Publication date
2022-03
Subject
Oncology. Pathology.
 Dermatology
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Dermatology
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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.
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.
Type
Correspondence
Description
Handle
http://hdl.handle.net/20.500.14200/995
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DOI
10.1016/j.jaad.2021.02.009
PMID
33581189
Journal
Journal of The American Academy of Dermatology
Publisher
Elsevier
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