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Algorithmic fairness in artificial intelligence for medicine and healthcare · Study

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Algorithmic fairness in artificial intelligence for medicine and healthcare

Richard J. Chen, Judy Jiaqi Wang, Drew F. K. Williamson, Tiffany Chen, Jana Lipková, Ming Y. Lu, Sharifa Sahai, Faisal Mahmood

2023-06-28reviewNature Biomedical Engineering747 citationsgreen

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Ethics and Social Impacts of AI Artificial Intelligence in Healthcare and Education Explainable Artificial Intelligence (XAI)

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 747 citations exist upstream.

References

2019Dissecting racial bias in an algorithm used to manage the health of populations

2005Social determinants of health inequalities

2012Fairness through awareness

2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments

2015Certifying and Removing Disparate Impact

2015Is Racism a Fundamental Cause of Inequalities in Health?

2011Data preprocessing techniques for classification without discrimination

2017Algorithmic Decision Making and the Cost of Fairness

Cited by

2025The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence

2025Bias recognition and mitigation strategies in artificial intelligence healthcare applications

2023AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications

2025Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review

2025Privacy, ethics, transparency, and accountability in AI systems for wearable devices

2024Policy advice and best practices on bias and fairness in AI

2024A causal perspective on dataset bias in machine learning for medical imaging

2025A scoping review and evidence gap analysis of clinical AI fairness

Details

Year2023

Typereview

VenueNature Biomedical Engineering

Languageen

Files0 public / 0

Identifiers

doi10.1038/s41551-023-01056-8

openalex_workW4382394524

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