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Bias in, bias out: Underreporting and underrepresentation of diverse skin types in machine learning research for skin cancer detection—A scoping review
Research article (Journal of the American Academy of Dermatology, 2021) · cited 121× · AI/ML
Bias in, bias out: Underreporting and underrepresentation of diverse skin types in machine learning research for skin cancer detection—A scoping review
Summary
Bias in, bias out: Underreporting and underrepresentation of diverse skin types in machine learning research for skin cancer detection—A scoping review is a scholarly article[1].
Key Facts
Bias in, bias out: Underreporting and underrepresentation of diverse skin types in machine learning research for skin cancer detection—A scoping review's A scoping review — instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Bias in, bias out: Underreporting and underrepresentation of diverse skin types in machine learning research for skin cancer detection—A scoping review. Retrieved May 24, 2026, from https://4ort.xyz/entity/bias-in-bias-out-underreporting-and-underrepresentation-of-diverse-skin-types-in-machine-learning-research-for-skin-canc
MLA“Bias in, bias out: Underreporting and underrepresentation of diverse skin types in machine learning research for skin cancer detection—A scoping review.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bias-in-bias-out-underreporting-and-underrepresentation-of-diverse-skin-types-in-machine-learning-research-for-skin-canc.
BibTeX@misc{4ortxyz_bias-in-bias-out-underreporting-and-underrepresentation-of-diverse-skin-types-in-machine-learning-research-for-skin-canc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bias in, bias out: Underreporting and underrepresentation of diverse skin types in machine learning research for skin cancer detection—A scoping review}}, year = {2026}, url = {https://4ort.xyz/entity/bias-in-bias-out-underreporting-and-underrepresentation-of-diverse-skin-types-in-machine-learning-research-for-skin-canc}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bias in, bias out: Underreporting and underrepresentation of diverse skin types in machine learning research for skin cancer detection—A scoping review — https://4ort.xyz/entity/bias-in-bias-out-underreporting-and-underrepresentation-of-diverse-skin-types-in-machine-learning-research-for-skin-canc (retrieved 2026-05-24)
