Access to healthcare data such as electronic health records (EHR) is often restricted by laws
established to protect patient privacy. These restrictions hinder the reproducibility of existing …

Despite the expert-level performance of AI models for various medical imaging tasks, real-
world performance failures with disparate outputs for various subgroups limit the usefulness …

A multitude of work has shown that machine learning-based medical diagnosis systems can
be biased against certain subgroups of people. This has motivated a growing number of …

Machine learning has traditionally operated in a space where data and labels are assumed
to be anchored in objective truths. Unfortunately, much evidence suggests that the" …