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Algorithmic fairness in computational medicine

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References

2021A Survey on Bias and Fairness in Machine Learning5,798 cited
1991Measurement and Control of Response Bias3,704 cited
2012Fairness through awareness3,501 cited
2016Equality of Opportunity in Supervised Learning2,535 cited
1973Causation1,916 cited
2018Ensuring Fairness in Machine Learning to Advance Health Equity1,334 cited
2011Data preprocessing techniques for classification without discrimination1,304 cited
2013Learning Fair Representations1,126 cited
2018Fairness definitions explained1,125 cited
2017Counterfactual Fairness995 cited
2019AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias884 cited
1988Outcome bias in decision evaluation.872 cited
2018AI can be sexist and racist — it’s time to make it fair764 cited
2010Three naive Bayes approaches for discrimination-free classification756 cited
2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
2017Fairness Beyond Disparate Treatment & Disparate Impact630 cited

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Cited by

2024Toward Fairness, Accountability, Transparency, and Ethics in AI for Social Media and Health Care: Scoping Review171 cited
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2024A survey of recent methods for addressing AI fairness and bias in biomedicine109 cited
2023A translational perspective towards clinical AI fairness81 cited
2025A scoping review and evidence gap analysis of clinical AI fairness62 cited
2024A scoping review of fair machine learning techniques when using real-world data61 cited
2024Expectation management in AI: A framework for understanding stakeholder trust and acceptance of artificial intelligence systems57 cited
2024Fairness and bias correction in machine learning for depression prediction across four study populations36 cited
2024Mitigating Algorithmic Bias in AI-Driven Cardiovascular Imaging for Fairer Diagnostics35 cited
2023Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling29 cited
2025Navigating fairness aspects of clinical prediction models26 cited
2024Enhancing the fairness of AI prediction models by Quasi-Pareto improvement among heterogeneous thyroid nodule population25 cited
2024Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review25 cited
2025Identifying and mitigating algorithmic bias in the safety net22 cited
2023Achieving Algorithmic Transparency and Managing Risks of Data Security when Making Decisions without Human Interference: Legal Approaches20 cited
2023Clinical algorithms, racism, and “fairness” in healthcare: A case of bounded justice19 cited