CNET

I Tested AI to Find Errors in My Medical Bills. Here’s What It Found

Using ChatGPT to audit my complex health insurance claims was a massive undertaking -- but it confirmed a hidden $1,512 ...
Frontiers

PET rapid image reconstruction challenge (PETRIC)

We describe the foundation of PETRIC, an image reconstruction challenge to minimise the computational runtime of related algorithms for Positron Emission Tomography (PET). Although several similar ...
Frontiers

Robust radiomics: a review of guidelines for radiomics in medical imaging

Radiomics aims to develop image-based biomarkers by combining quantitative analysis of medical images with artificial intelligence (AI) through a robust, reproducible pipeline. Scientific societies, ...
GitHub

GitHub Action for deploying Machine Learning Models to Azure

This Action is deprecated. Instead, consider using the CLI (v2) to manage and interact with Azure Machine Learning endpoints and deployments in GitHub Actions. Important: The CLI (v2) is not ...
GitHub

Operationalizing R models using Python via Azure ML SDK

Note: This work is still in the testing phase. This is a tutorial on how to use Azure Machine Learning SDK for Python (AML SDK) to operationalize (Figure 1) pre-trained R models at scale in the cloud ...