Effect of patient-contextual skin images in human- and artificial intelligence-based diagnosis of melanoma: Results from the 2020 SIIM-ISIC melanoma classification challenge.

Journal: Journal of the European Academy of Dermatology and Venereology : JEADV
Published Date: Dec 8, 2024

Abstract

BACKGROUND: While the high accuracy of reported AI tools for melanoma detection is promising, the lack of holistic consideration of the patient is often criticized. Along with medical history, a dermatologist would also consider intra-patient nevi patterns, such that nevi that are different from others on a given patient are treated with suspicion.

Authors

  • Nicholas R Kurtansky
    Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Clare A Primiero
    Dermatology Department, Hospital Clinic and Fundació Clínic per la Recerca Biomèdica - Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Australia.
  • Brigid Betz-Stablein
    QIMR Berghofer Medical Research Institute, Cancer and Population Studies, Brisbane, Queensland, Australia.
  • Marc Combalia
    Department of Dermatology, Hospital Clinic of Barcelona, IDIBAPS, University of Barcelona, Ciber de Enfermedades Raras ISCIII, Barcelona, Spain.
  • Pascale Guitera
    Sydney Melanoma Diagnostic Centre, Faculty of Medicine and Health, Royal Prince Alfred Hospital and University of Sydney, Sydney, Australia; Melanoma Institute Australia, Sydney, Australia.
  • Allan Halpern
    Dermatology Service, Memorial Sloan-Kettering Cancer Center, New York, NY.
  • Jonathan Kentley
    Department of Dermatology, Chelsea and Westminster Hospital NHS Trust, London, UK; Department of Dermatology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: j.kentley@nhs.net.
  • Harald Kittler
    ViDIR Group, Department of Dermatology, Medical University of Vienna, Vienna, Austria. Electronic address: harald.kittler@meduniwien.at.at.
  • Konstantinos Liopyris
    Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Josep Malvehy
    Melanoma Unit, Dermatology Department, Hospital Clínic Barcelona, Universitat de Barcelona, IDIBAPS, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Rarasd (CIBER ER), Instituto de Salud Carlos III, Barcelona, Spain.
  • Christoph Rinner
    Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
  • Philipp Tschandl
    Department of Computing Science, Simon Fraser University, Burnaby, British Columbia, Canada.
  • Jochen Weber
    Department of Dermatology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Veronica Rotemberg
    Dermatology Service, Memorial Sloan-Kettering Cancer Center, New York, NY.
  • H Peter Soyer
    Dermatology Research Centre, The University of Queensland, The University of Queensland Diamantina Institute, Brisbane, Australia.

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