Transforming hospital care with AI insights from EHRs
With hospitals facing rising care demands from relatively fewer resources there is a growing imperative to transform the future of hospital care. Effectively managing patients along the therapeutic pathways through a hospital involves hundreds and…
Recent Efforts Towards Efficient And Scalable Neural Waveform Coding
Acoustic signal compression techniques, converting the floating-point waveform into the bitstream representation, serve a cornerstone in the current data storage and telecommunication infrastructure. The rise of data-driven approaches for acoustic coding systems brings in not…
InnerEye-CreateDataset
InnerEye-CreateDataset contains tools to convert medical datasets in DICOM-RT format to NIFTI. Datasets converted using this tool can be consumed directly by InnerEye-DeepLearning.
Marshall Plan 2.0.
Microsoft Premonition: Sensor networks and AI to help detect disease outbreaks
What if we could predict epidemics like we predict the weather? Through a network of robotic sensing platforms, Premonition aims to continuously monitor our environment to detect potential pathogens and disease-carrying animals before they cause…
InnerEye – Deep Learning
This is a deep learning toolbox to train models on medical images (or more generally, 3D images). It integrates seamlessly with cloud computing in Azure.