How to Improve Patient Outcomes with AI without Perpetuating Historical Biases

Clinicians, care managers, administrators, and executives all want to harness AI to improve clinical outcomes and drive healthcare efficiencies. Unfortunately, historical data, which is the fuel of modern AI systems, is often tainted with unintentional biases. How can we use this data without cementing these biases into new AI systems?
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