DaneshjouRSmithMPSunMD, et al. Lack of transparency and potential bias in artificial intelligence data sets and algorithms: a scoping review. JAMA Dermatol. 2021;157(11):1362-1369. doi: 10.1001/jamadermatol.2021.3129
2.
TriccoACLillieEZarinW, et al. PRISMA extension for Scoping Reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467-473. doi:10.7326/M18-0850
3.
WalkerBNBlalockTWLeibowitzR, et al. Skin cancer detection in diverse skin tones by machine learning combining audio and visual convolutional neural networks. Oncology. 2025;103(5):413-420. doi:10.1159/000541573
4.
AggarwalP.Performance of artificial intelligence imaging models in detecting dermatological manifestations in higher Fitzpatrick skin color classifications. JMIR Dermatol. 2021;4(2):e31697. doi:10.2196/31697
5.
GrohMBadriODaneshjouR, et al. Deep learning-aided decision support for diagnosis of skin disease across skin tones. Nat Med. 2024;30(2):573-583. doi:10.1038/s41591-023-02728-3
Supplementary Material
Please find the following supplemental material available below.
For Open Access articles published under a Creative Commons License, all supplemental material carries the same license as the article it is associated with.
For non-Open Access articles published, all supplemental material carries a non-exclusive license, and permission requests for re-use of supplemental material or any part of supplemental material shall be sent directly to the copyright owner as specified in the copyright notice associated with the article.
