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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| Title: | 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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| Authors: | Daneshjou R; Stanford Department of Dermatology, Stanford School of Medicine, Redwood City, California.; Stanford Department of Biomedical Data Science, Stanford School of Medicine, Stanford, California., Barata C; Institute for Systems and Robotics, Instituto Superior Tecnico, Lisboa, Portugal., Betz-Stablein B; The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Australia., Celebi ME; Department of Computer Science and Engineering, University of Central Arkansas, Conway., Codella N; Microsoft, Seattle, Washington., Combalia M; Melanoma Unit, Dermatology Department, Hospital Clínic Barcelona, Universitat de Barcelona, IDIBAPS, Barcelona, Spain., Guitera P; Melanoma Institute Australia, the University of Sydney, Camperdown, Australia.; Sydney Melanoma Diagnostic Centre, Royal Prince Alfred Hospital, Camperdown, Australia., Gutman D; Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia., Halpern A; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York., Helba B; Kitware, Inc, Clifton Park, New York., Kittler H; Department of Dermatology, Medical University of Vienna, Vienna, Austria., Kose K; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York., Liopyris K; University of Athens Medical School, Athens, Greece., Malvehy J; Melanoma Unit, Dermatology Department, Hospital Clínic Barcelona, Universitat de Barcelona, IDIBAPS, Barcelona, Spain., Seog HS; Department of Dermatology, I Dermatology Clinic, Seoul, Korea.; IDerma, Inc, Seoul, Korea., Soyer HP; The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, Australia., Tkaczyk ER; Dermatology Service and Research Service, Tennessee Valley Healthcare System, Department of Veterans Affairs, Nashville.; Vanderbilt Dermatology Translational Research Clinic, Department of Dermatology, Vanderbilt University Medical Center, Nashville, Tennessee.; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee., Tschandl P; Department of Dermatology, Medical University of Vienna, Vienna, Austria., Rotemberg V; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York. |
| Source: | JAMA dermatology [JAMA Dermatol] 2022 Jan 01; Vol. 158 (1), pp. 90-96. |
| Publication Type: | Consensus Statement; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: American Medical Association Country of Publication: United States NLM ID: 101589530 Publication Model: Print Cited Medium: Internet ISSN: 2168-6084 (Electronic) Linking ISSN: 21686068 NLM ISO Abbreviation: JAMA Dermatol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2168-6084 |
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| DOI: | 10.1001/jamadermatol.2021.4915 |
