Bias in, bias out: Underreporting and underrepresentation of diverse skin types in machine learning research for skin cancer detection-A scoping review

J Am Acad Dermatol. 2022 Jul;87(1):157-159. doi: 10.1016/j.jaad.2021.06.884. Epub 2021 Jul 10.

Authors

Lisa N Guo¹, Michelle S Lee¹, Bina Kassamali¹, Carol Mita², Vinod E Nambudiri³

Affiliations

¹ Harvard Medical School, Boston, Massachusetts; Department of Dermatology, Brigham and Women's Hospital, Boston, Massachusetts.
² Harvard Medical School, Boston, Massachusetts.
³ Harvard Medical School, Boston, Massachusetts; Department of Dermatology, Brigham and Women's Hospital, Boston, Massachusetts. Electronic address: [email protected].

PMID: 34252465
DOI: 10.1016/j.jaad.2021.06.884

No abstract available

Keywords: artificial intelligence; machine learning; melanoma; racial diversity; skin cancer; skin of color.

Publication types

Review

MeSH terms

Algorithms
Humans
Machine Learning
Skin Neoplasms* / diagnosis
Skin Neoplasms* / epidemiology