Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology: CLEAR Derm Consensus Guidelines From the International Skin Imaging Collaboration Artificial Intelligence Working Group.

Journal: JAMA dermatology
Published Date: Jan 1, 2022

Abstract

IMPORTANCE: The use of artificial intelligence (AI) is accelerating in all aspects of medicine and has the potential to transform clinical care and dermatology workflows. However, to develop image-based algorithms for dermatology applications, comprehensive criteria establishing development and performance evaluation standards are required to ensure product fairness, reliability, and safety.

Authors

  • Roxana Daneshjou
    1Department of Biomedical Data Science, Stanford School of Medicine, Stanford, California, USA; email: roxanad@stanford.edu.
  • Catarina Barata
    Institute for Systems and Robotics (ISR/IST), Instituto Superior Técnico, University of Lisbon, Portugal.
  • Brigid Betz-Stablein
    QIMR Berghofer Medical Research Institute, Cancer and Population Studies, Brisbane, Queensland, Australia.
  • M Emre Celebi
  • Noel Codella
    IBM TJ Watson Research Center, 1101 Kitchawan Rd, Yorktown Heights, NY, 10598, USA.
  • 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.
  • David Gutman
    Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
  • Allan Halpern
    Dermatology Service, Memorial Sloan-Kettering Cancer Center, New York, NY.
  • Brian Helba
    Kitware, Clifton Park, NY, USA.
  • Harald Kittler
    ViDIR Group, Department of Dermatology, Medical University of Vienna, Vienna, Austria. Electronic address: harald.kittler@meduniwien.at.at.
  • Kivanc Kose
    Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA. Electronic address: kosek@mskcc.org.
  • 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.
  • Han Seung Seog
    Department of Dermatology, I Dermatology Clinic, Seoul, Korea.
  • H Peter Soyer
    Dermatology Research Centre, The University of Queensland, The University of Queensland Diamantina Institute, Brisbane, Australia.
  • Eric R Tkaczyk
    Dermatology Service and Research Service, Tennessee Valley Healthcare System, Department of Veterans Affairs, Nashville.
  • Philipp Tschandl
    Department of Computing Science, Simon Fraser University, Burnaby, British Columbia, Canada.
  • Veronica Rotemberg
    Dermatology Service, Memorial Sloan-Kettering Cancer Center, New York, NY.

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