As AI is deployed in clinical centers across the U.S., one important consideration is to assure that models are fair and perform equally across patient groups and populations. To better understand the fairness of medical imaging AI, a team of researchers trained over 3,000 models spanning multiple model configurations, algorithms, and clinical tasks.
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