Generalizability and usefulness of artificial intelligence for skin cancer diagnostics: An algorithm validation study

Generalizability and usefulness of artificial intelligence for skin cancer diagnostics: An algorithm validation study

Abstract Background Artificial intelligence can be trained to outperform dermatologists in image‐based skin cancer diagnostics. However, the networks' sensitivity to biases and overfitting may hamper their clinical applicability. Objectives The aim of this study was to explain the potential con...

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Bibliographic Details
Main Authors: Niels K. Ternov, Anders N. Christensen, Peter J. T. Kampen, Gustav Als, Tine Vestergaard, Lars Konge, Martin Tolsgaard, Lisbet R. Hölmich, Pascale Guitera, Annette H. Chakera, Morten R. Hannemose
Format: Article
Language:English
Published: Wiley 2022-12-01
Series:JEADV Clinical Practice
Subjects:
artificial intelligence
melanoma
skin cancer
skin cancer prevention and early detection
Online Access:https://doi.org/10.1002/jvc2.59

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