References

• 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
• 2024TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods4,531 cited
• 2012Fairness through awareness3,501 cited
• 2017Fairness Beyond Disparate Treatment & Disparate Impact630 cited
• 2020Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities274 cited
• 2022A clarification of the nuances in the fairness metrics landscape221 cited
• 2024Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations178 cited
• 2022Algorithmic fairness in computational medicine170 cited
• 2021The Landscape and Gaps in Open Source Fairness Toolkits129 cited
• 2021The Ethics of Algorithms: Key Problems and Solutions121 cited
• 2020Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning111 cited
• 2023Mitigating Racial And Ethnic Bias And Advancing Health Equity In Clinical Algorithms: A Scoping Review93 cited
• 2024Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor34 cited
• 2022