The model, COVID-Net CT-2, was built using a number of large and diverse datasets created over several months with the University of Waterloo and is publicly… 2 MIN READ

Getting AI up and running in hospitals has never been more important. Until recently, connecting an inference pipeline to perform analysis has had its… 11 MIN READ

Building on the public alpha release announced at GTC 2020 in April, MONAI (Medical Open Network for AI) is an open source and community-supported PyTorch-based… 3 MIN READ

The Medical Open Network for AI ( MONAI), is a freely available, community-supported, PyTorch-based framework for deep learning in healthcare imaging. 7 MIN READ

Deep neural networks (DNNs) have been successfully applied to volume segmentation and other medical imaging tasks. They are capable of achieving state-of-the… 8 MIN READ

NVIDIA researchers in collaboration with King’s College London today announced a breakthrough in healthcare AI, with the introduction of the first privacy… 3 MIN READ