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Towards a pragmatist dealing with algorithmic bias in medical machine learning
15 references·4 citing·36 second hop
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  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
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  • 2024Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study

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34 cited
  • 2025The ethics of data mining in healthcare: challenges, frameworks, and future directions32 cited
  • 2023Ethical assessments and mitigation strategies for biases in AI-systems used during the COVID-19 pandemic26 cited
  • 2024Generative AI in Writing Research Papers: A New Type of Algorithmic Bias and Uncertainty in Scholarly Work24 cited