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Can AI Help Reduce Disparities in General Medical and Mental Health Care?
8 references·16 citing·42 second hop
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(2016)Why is depression more common…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Learning Fair Representations (2013)Learning Fair RepresentationsFairness through awareness (2012)Fairness through awarenessExamining inclusivity: the use of AI and diverse populations in health and social care: a systematic review (2025)Examining inclusivity: the us…The Algorithmic Divide: A Systematic Review on AI-Driven Racial Disparities in Healthcare (2024)The Algorithmic Divide: A Sys…Mental-LLM (2024)Mental-LLMWearable Technology in Clinical Practice for Depressive Disorder (2023)Wearable Technology in Clinic…An adversarial training framework for mitigating algorithmic biases in clinical machine learning (2023)An adversarial training frame…Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning (2023)Algorithmic fairness and bias…Peeking into a black box, the fairness and generalizability of a MIMIC-III benchmarking model (2022)Peeking into a black box, the…Gender bias in AI-based decision-making systems: a systematic literature review (2022)Gender bias in AI-based decis…Evaluation and Mitigation of Racial Bias in Clinical Machine Learning Models: Scoping Review (2022)Evaluation and Mitigation of …Analysis of E-mental health research: mapping the relationship between information technology and mental healthcare (2022)Analysis of E-mental health r…Addressing algorithmic bias and the perpetuation of health inequities: An AI bias aware framework (2022)Addressing algorithmic bias a…FairLens: Auditing black-box clinical decision support systems (2021)FairLens: Auditing black-box …Digital Ageism: Challenges and Opportunities in Artificial Intelligence for Older Adults (2021)Digital Ageism: Challenges an…Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning (2020)Patient safety and quality im…Ethics of Digital Mental Health During COVID-19: Crisis and Opportunities (2020)Ethics of Digital Mental Heal…Addressing health disparities in the Food and Drug Administration’s artificial intelligence and machine learning regulatory framework (2020)Addressing health disparities…Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)A Survey on Bias and Fairness in Machine Learning (2021)Big Data's Disparate Impact (2014)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)The Epidemiology of Major Depressive Disorder (2003)The size and burden of mental disorders and other disorders of the brain in Europe 2010 (2011)Diagnostic and Statistical Manual of Mental Disorders (2013)Trends in depression prevalence in the USA from 2005 to 2015: widening disparities in vulnerable groups (2017)Association of loneliness with all-cause mortality: A meta-analysis (2018)Risk Factors for Depression: An Autobiographical Review (2018)Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment (2016)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)A Reductions Approach to Fair Classification (2018)Learning Adversarially Fair and Transferable Representations (2018)Introduction to Multi-Armed Bandits (2019)Semantics. 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this work references cited by second hop

References

  • 2012Fairness through awareness3,501 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2016Why is depression more common among women than among men?1,746 cited
  • 2013Learning Fair Representations1,126 cited
  • 2018Word embeddings quantify 100 years of gender and ethnic stereotypes1,064 cited
  • 2018AI can be sexist and racist — it’s time to make it fair764 cited
  • 2017On Fairness and Calibration509 cited
  • 2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness403 cited

Cited by

  • 2021Digital Ageism: Challenges and Opportunities in Artificial Intelligence for Older Adults289 cited
  • 2024Mental-LLM277 cited
  • 2022Evaluation and Mitigation of Racial Bias in Clinical Machine Learning Models: Scoping Review186 cited
  • 2022Addressing algorithmic bias and the perpetuation of health inequities: An AI bias aware framework170 cited
  • 2023An adversarial training framework for mitigating algorithmic biases in clinical machine learning159 cited
  • 2023Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning142 cited
  • 2025Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review

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113 cited
  • 2020Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning111 cited
  • 2021FairLens: Auditing black-box clinical decision support systems86 cited
  • 2020Ethics of Digital Mental Health During COVID-19: Crisis and Opportunities82 cited
  • 2022Gender bias in AI-based decision-making systems: a systematic literature review75 cited
  • 2022Peeking into a black box, the fairness and generalizability of a MIMIC-III benchmarking model73 cited
  • 2024The Algorithmic Divide: A Systematic Review on AI-Driven Racial Disparities in Healthcare63 cited
  • 2023Wearable Technology in Clinical Practice for Depressive Disorder57 cited
  • 2020Addressing health disparities in the Food and Drug Administration’s artificial intelligence and machine learning regulatory framework55 cited
  • 2022Analysis of E-mental health research: mapping the relationship between information technology and mental healthcare53 cited