TorchXRayVision is a library of pre-trained machine learning models that can predict 18 different pathologies from a single chest XRay. It is developed by researchers from Mila (Quebec AI Institute) and Stanford's Center for Artificial Intelligence in Medicine & Imaging (AIMI). The team include: Joseph Paul Cohen, Joseph Viviano, Paul Morrison, Rupert Brooks, Mohammad Hashir, and Hadrien Bertrand.
