Consent and identifiability for patient images in research, education, and image-based artificial intelligence Research Letter

   


Authors: Salvador, T.; Gu, L.; Hay, J. L.; Kurtansky, N. R.; Masterson-Creber, R.; Halpern, A. C.; Rotemberg, V.
Title: Consent and identifiability for patient images in research, education, and image-based artificial intelligence
Keywords: adult; demography; self report; social status; education; artificial intelligence; research; cross-sectional study; informed consent; educational status; medical care; ethnicity; race; medical student; privacy; gender identity; humans; human; male; female; article; black person
Journal Title: JAMA Dermatology
Volume: 160
Issue: 4
ISSN: 2168-6068
Publisher: American Medical Association  
Date Published: 2024-04-01
Start Page: 470
End Page: 472
Language: English
DOI: 10.1001/jamadermatol.2024.0084
PUBMED: 38477909
PROVIDER: scopus
PMCID: PMC10938239
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188003040&doi=10.1001%2fjamadermatol.2024.0084&partnerID=40&md5=58df3221a544a53c04cbe554c89e1f27
Notes: Article -- MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PDF -- MSK corresponding author is Veronica Rotemberg -- Source: Scopus
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MSK Authors
  1. Allan C Halpern
    396 Halpern
  2. Jennifer L Hay
    267 Hay
  3. Veronica Miriam Rotemberg
    92 Rotemberg
  4. Lilly Gu
    10 Gu
  5. Nicholas Raymond Kurtansky
    44 Kurtansky
  6. Trina M. Salvador
    5 Salvador
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