CheXclusion: Fairness gaps in deep chest X-ray classifiers

14 Feb 2020Laleh Seyyed-KalantariGuanxiong LiuMatthew McDermottMarzyeh Ghassemi

Machine learning systems have received much attention recently for their ability to achieve expert-level performance on clinical tasks, particularly in medical imaging. Here, we examine the extent to which state-of-the-art deep learning classifiers trained to yield diagnostic labels from X-ray images are biased with respect to protected attributes... (read more)

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