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The Algorithmic Divide: A Systematic Review on AI-Driven Racial Disparities in Healthcare
16 references·0 citing·52 second hop
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(2003)Unequal treatment: confronting racial and ethnic disparities in health care (2003)Introduction to the special issue on structural stigma and health (2013)Structural racism and myocardial infarction in the United States (2014)The Color of COVID-19: Structural Racism and the Disproportionate Impact of the Pandemic on Older Black and Latinx Adults (2020)Health: United States (1986)Neighborhood of Residence and Incidence of Coronary Heart Disease (2001)“Weathering” and Age Patterns of Allostatic Load Scores Among Blacks and Whites in the United States (2005)The Social Determinants of Health: Coming of Age (2011)The State of US Health, 1990-2010 (2013)Traveling Towards Disease: Transportation Barriers to Health Care Access (2013)The Measurement of Observer Agreement for Categorical Data (1977)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement (2010)A decade of studying implicit racial/ethnic bias in healthcare providers using the implicit association test (2017)The Impact of Racism on Child and Adolescent Health (2019)Physicians’ Perceptions Of People With Disability And Their Health Care (2021)Health Care Disparities (2003)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Mitigating Unwanted Biases with Adversarial Learning (2018)Artificial intelligence and algorithmic bias: implications for health systems (2019)Measures of Racism, Sexism, Heterosexism, and Gender Binarism for Health Equity Research: From Structural Injustice to Embodied Harm—An Ecosocial Analysis (2019)Ethical Machine Learning in Healthcare (2021)Structural Equations with Latent Variables. (1991)Testing Structural Equation Models. 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References

  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
  • 1999The Massachusetts Institute of Technology3,135 cited
  • 2015Implicit Racial/Ethnic Bias Among Health Care Professionals and Its Influence on Health Care Outcomes: A Systematic Review2,174 cited
  • 2010Race, socioeconomic status, and health: Complexities, ongoing challenges, and research opportunities1,461 cited
  • 2018Ensuring Fairness in Machine Learning to Advance Health Equity1,334 cited
  • 2022AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems1,205 cited
  • 2023Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers1,097 cited
  • 2017Counterfactual Fairness995 cited
  • 2014Systemic racism and U.S. health care819 cited
  • 2021Predictably Unequal? The Effects of Machine Learning on Credit Markets767 cited
  • 2019Can AI Help Reduce Disparities in General Medical and Mental Health Care?399 cited
  • 2022A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health263 cited
  • 2022Addressing algorithmic bias and the perpetuation of health inequities: An AI bias aware framework170 cited
  • 2020Artificial Intelligence in mental health and the biases of language based models

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163 cited
  • 2021“I don’t Think These Devices are Very Culturally Sensitive.”—Impact of Automated Speech Recognition Errors on African Americans137 cited
  • 2023Disparities in Travel-Related Barriers to Accessing Health Care From the 2017 National Household Travel Survey129 cited
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