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

被引：52

作者：

Guo, Lisa N. ^{[1
,2
]}

Lee, Michelle S. ^{[1
,2
]}

Kassamali, Bina ^{[1
,2
]}

Mita, Carol ^{[1
]}

Nambudiri, Vinod E. ^{[1
,2
]}

机构：

[1] Harvard Med Sch, Boston, MA 02115 USA

[2] Brigham & Womens Hosp, Dept Dermatol, 221 Longwood Ave, Boston, MA 02115 USA

来源：

关键词：

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

D O I：

10.1016/j.jaad.2021.06.884

中图分类号：

R75 [皮肤病学与性病学];

学科分类号：

100206 ;

摘要：

[No abstract available]

引用

页码：157 / 159

页数：3

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[4] Addressing Bias in Artificial Intelligence in Health Care [J].

Parikh, Ravi B. ;

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Navathe, Amol S. .

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[5]

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