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

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Abstract

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.

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Author and article information

Journal

Title: JAMA Dermatology

Abbreviated Title: JAMA Dermatol

Publisher: American Medical Association (AMA)

ISSN (Print): 2168-6068

Publication date (Electronic): December 01 2021

Affiliations

[1 ]Stanford Department of Dermatology, Stanford School of Medicine, Redwood City, California

[2 ]Stanford Department of Biomedical Data Science, Stanford School of Medicine, Stanford, California

[3 ]Institute for Systems and Robotics, Instituto Superior Tecnico, Lisboa, Portugal

[4 ]The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Australia

[5 ]Department of Computer Science and Engineering, University of Central Arkansas, Conway

[6 ]Microsoft, Seattle, Washington

[7 ]Melanoma Unit, Dermatology Department, Hospital Clínic Barcelona, Universitat de Barcelona, IDIBAPS, Barcelona, Spain

[8 ]Melanoma Institute Australia, the University of Sydney, Camperdown, Australia

[9 ]Sydney Melanoma Diagnostic Centre, Royal Prince Alfred Hospital, Camperdown, Australia

[10 ]Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia

[11 ]Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York

[12 ]Kitware, Inc, Clifton Park, New York

[13 ]Department of Dermatology, Medical University of Vienna, Vienna, Austria

[14 ]University of Athens Medical School, Athens, Greece

[15 ]Department of Dermatology, I Dermatology Clinic, Seoul, Korea

[16 ]IDerma, Inc, Seoul, Korea

[17 ]Dermatology Service and Research Service, Tennessee Valley Healthcare System, Department of Veterans Affairs, Nashville

[18 ]Vanderbilt Dermatology Translational Research Clinic, Department of Dermatology, Vanderbilt University Medical Center, Nashville, Tennessee

[19 ]Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee

Article

DOI: 10.1001/jamadermatol.2021.4915

PubMed ID: 34851366

SO-VID: 3fb39c8a-372f-4af1-aa11-153a5ac4b65f

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