AI Impact on Health Equity for Marginalized, Racial, and Ethnic Minorities

Author:

Iloanusi Nchebe-Jah1ORCID,Chun Soon Ae2ORCID

Affiliation:

1. College of Staten Island, City University of New York, USA

2. City University of New York, USA

Publisher

ACM

Reference48 articles.

1. Roy Adams, Katharine E Henry, Anirudh Sridharan, Hossein Soleimani, Andong Zhan, Nishi Rawat, Lauren Johnson, David N Hager, Sara E Cosgrove, Andrew Markowski, 2022. Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis. Nature medicine 28, 7 (2022), 1455–1460.

2. Adewole S Adamson and Avery Smith. 2018. Machine learning and health care disparities in dermatology. JAMA dermatology 154, 11 (2018), 1247–1248.

3. Ruha Benjamin. 2019. Race after technology: Abolitionist tools for the new Jim code. John Wiley & Sons.

4. Irene V Blair, Chad Danyluck, Charles M Judd, Spero M Manson, Mark L Laudenslager, Stacie L Daugherty, Erin L Ratliff, Jacqueline A Gardner, and Elizabeth Brondolo. 2021. Validation of the brief perceived ethnic discrimination questionnaire–community version in American Indians.Cultural Diversity and Ethnic Minority Psychology 27, 1 (2021), 47.

5. Tolga Bolukbasi, Joseph Wang, Ofer Dekel, and Venkatesh Saligrama. 2017. Adaptive neural networks for efficient inference. In International Conference on Machine Learning. PMLR, 527–536.

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