Racial underrepresentation in dermatological datasets leads to biased machine learning models and inequitable healthcare

Research article (Journal of Biomed Research, 2022) · cited 41× · AI/ML
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Racial underrepresentation in dermatological datasets leads to biased machine learning models and inequitable healthcare

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Racial underrepresentation in dermatological datasets leads to biased machine learning models and inequitable healthcare is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Racial underrepresentation in dermatological datasets leads to biased machine learning models and inequitable healthcare. Retrieved May 24, 2026, from https://4ort.xyz/entity/racial-underrepresentation-in-dermatological-datasets-leads-to-biased-machine-learning-models-and-inequitable-healthcare
MLA “Racial underrepresentation in dermatological datasets leads to biased machine learning models and inequitable healthcare.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/racial-underrepresentation-in-dermatological-datasets-leads-to-biased-machine-learning-models-and-inequitable-healthcare.
BibTeX @misc{4ortxyz_racial-underrepresentation-in-dermatological-datasets-leads-to-biased-machine-learning-models-and-inequitable-healthcare_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Racial underrepresentation in dermatological datasets leads to biased machine learning models and inequitable healthcare}}, year = {2026}, url = {https://4ort.xyz/entity/racial-underrepresentation-in-dermatological-datasets-leads-to-biased-machine-learning-models-and-inequitable-healthcare}, note = {Accessed: 2026-05-24}}
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