Untangling bias: Racial and phenotypic bias in neuroimaging methods must be addressed

Authors

Jasmine Kwasa (ORCID: https://orcid.org/0000-0001-5537-6054)

Institutions

Carnegie Mellon University (US)

Publication Details

Journal: Science
Published: 2024-11-07
DOI: https://doi.org/10.1126/science.ads7375
Citations: 6
Primary Topic: Health, Environment, Cognitive Aging
Type: article
Field-Weighted Citation Impact: 1.89

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article

Untangling bias: Racial and phenotypic bias in neuroimaging methods must be addressed

Jasmine Kwasa

Nov 7, 2024

6 citations

Science

Health, Environment, Cognitive Aging

1.89

article

Untangling bias: Racial and phenotypic bias in neuroimaging methods must be addressed

Jasmine Kwasa

November 7, 2024article en

6 citations

Abstract

No abstract available for this paper.

ScienceVol. 386(6722)

Carnegie Mellon University (US)

Reduced inequalities

Openalex Percentile: Top 15%

Health, Environment, Cognitive Aging

1.89

DOI Source OpenAlex

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Untangling bias: Racial and phenotypic bias in neuroimaging methods must be addressed — Jasmine Kwasa · Science (2024) | TGRS Research Map | TGRS