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Racial Differences in Medical Testing Could Introduce Bias to AI Models

November 13, 2024

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Read time:

<5 mins
Ai Algorithm Gears Blue Medical
Presented by Health Lab

Researchers at the University of Michigan have not only identified bias in medical testing but also a way to correct this bias in data sets used to train AI. Jenna Wiens, U-M associate professor of computer science and engineering and corresponding author of a new study, explores key findings, including the importance of accurate data to AI health models.

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