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Yale study shows how AI bias worsens healthcare disparities
Healthcare IT News November 25, 2024
The research shows how data integrity issues at every stage – training, model development, publication, implementation – can adversely impact patient outcomes, say clinicians at Yale School of Medicine.
A new research report from Yale School of Medicine offers an up-close look at how biased artificial intelligence can affect clinical outcomes. The study focuses specifically on the different stages of AI model development, and shows how data integrity issues can impact health equity and care quality.
WHY IT MATTERS
Published earlier this month in PLOS Digital Health, the research gives both real-world and hypothetical illustrations of how AI bias impacts adversely affects healthcare delivery – not just at the point of care, but at every stage of medical AI development: training...
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