Consent and Identifiability for Patient Images in Research, Education, and Image-Based Artificial Intelligence.
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| Title: | Consent and Identifiability for Patient Images in Research, Education, and Image-Based Artificial Intelligence. |
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| Authors: | Salvador T; Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York., Gu L; Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York., Hay JL; Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York., Kurtansky NR; Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York., Masterson-Creber R; Department of Population Health Sciences, Weill Cornell Medical College, New York, New York.; Columbia University School of Nursing, New York, New York., Halpern AC; Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York., Rotemberg V; Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York.; Associate Editor, JAMA Internal Medicine. |
| Source: | JAMA dermatology [JAMA Dermatol] 2024 Apr 01; Vol. 160 (4), pp. 470-472. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| 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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