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The automation of bias in medical Artificial Intelligence (AI): Decoding the past to create a better future
4 references·8 citing·37 second hop
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References

  • 2019Model Cards for Model Reporting3,049 cited
  • 2016Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy2,338 cited
  • 2020The COVID-19 pandemic and health inequalities2,007 cited
  • 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy1,089 cited

Cited by

  • 2023Fair and equitable AI in biomedical research and healthcare: Social science perspectives66 cited
  • 2024Assessing trustworthy AI: Technical and legal perspectives of fairness in AI41 cited
  • 2024Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review25 cited
  • 2023A step toward building a unified framework for managing AI bias23 cited
  • 2023Auditing the impact of artificial intelligence on the ability to have a good life: using well-being measures as a tool to investigate the views of undergraduate STEM students13 cited
  • 2022The Development and Impact of China's Digital Transformation in the Medical Industry10 cited
  • 2023The Influence of Entrepreneurial Bricolage on Opportunity Recognition for New Ventures Based on Artificial Intelligence4 cited
  • 2021Digital Transformation to Build Smart Cities2 cited

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