Literature DB >> 32908272

Those designing healthcare algorithms must become actively anti-racist.

Kellie Owens1, Alexis Walker2.   

Abstract

Entities:  

Mesh：

Year:  2020        PMID： 32908272      PMCID： PMC7810137          DOI： 10.1038/s41591-020-1020-3

Source DB:  PubMed          Journal:  Nat Med        ISSN： 1078-8956            Impact factor:   53.440


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  5 in total

1.  Editorial: Excessive Police Violence as a Public Health Issue.

Authors:  Hannah L F Cooper; Mindy Fullilove
Journal:  J Urban Health       Date:  2016-04       Impact factor: 3.671

2.  A meta-analysis of procedures to change implicit measures.

Authors:  Patrick S Forscher; Calvin K Lai; Jordan R Axt; Charles R Ebersole; Michelle Herman; Patricia G Devine; Brian A Nosek
Journal:  J Pers Soc Psychol       Date:  2019-06-13

3.  Assessing risk, automating racism.

Authors:  Ruha Benjamin
Journal:  Science       Date:  2019-10-25       Impact factor: 47.728

4.  Dissecting racial bias in an algorithm used to manage the health of populations.

Authors:  Ziad Obermeyer; Brian Powers; Christine Vogeli; Sendhil Mullainathan
Journal:  Science       Date:  2019-10-25       Impact factor: 47.728

5.  Stolen Breaths.

Authors:  Rachel R Hardeman; Eduardo M Medina; Rhea W Boyd
Journal:  N Engl J Med       Date:  2020-06-10       Impact factor: 91.245
  5 in total
  6 in total

Review 1.  Designing deep learning studies in cancer diagnostics.

Authors:  Andreas Kleppe; Ole-Johan Skrede; Sepp De Raedt; Knut Liestøl; David J Kerr; Håvard E Danielsen
Journal:  Nat Rev Cancer       Date:  2021-01-29       Impact factor: 60.716

Review 2.  Artificial Intelligence for Health Professions Educators.

Authors:  Kimberly Lomis; Pamela Jeffries; Anthony Palatta; Melanie Sage; Javaid Sheikh; Carl Sheperis; Alison Whelan
Journal:  NAM Perspect       Date:  2021-09-08

3.  Electronic Health Records as Biased Tools or Tools Against Bias: A Conceptual Model.

Authors:  Michael D Rozier; Kavita K Patel; Dori A Cross
Journal:  Milbank Q       Date:  2021-11-23       Impact factor: 4.911

Review 4.  Algorithmic fairness in pandemic forecasting: lessons from COVID-19.

Authors:  Thomas C Tsai; Sercan Arik; Benjamin H Jacobson; Jinsung Yoon; Nate Yoder; Dario Sava; Margaret Mitchell; Garth Graham; Tomas Pfister
Journal:  NPJ Digit Med       Date:  2022-05-10

5.  Enabling Fairness in Healthcare Through Machine Learning.

Authors:  Thomas Grote; Geoff Keeling
Journal:  Ethics Inf Technol       Date:  2022-08-31

6.  Ethics of AI in Radiology: A Review of Ethical and Societal Implications.

Authors:  Melanie Goisauf; Mónica Cano Abadía
Journal:  Front Big Data       Date:  2022-07-14
  6 in total

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