google/cxr-foundation-demo

CXR Foundation is a machine learning (ML) model that produces embeddings based on images of chest X-rays. The embeddings can be used to efficiently build AI models for chest X-ray related tasks, requiring less data and less compute than having to fully train a model without the embeddings or the pretrained model.

The model has been optimized for chest X-rays, but researchers have reported success using it for other types of X-rays, including X-rays of other body parts and even veterinary X-rays.

Trained on large scale datasets, CXR Foundation helps businesses and institutions in healthcare and life sciences do more with their chest X-ray data with less data, accelerating their ability to build AI models for chest X-ray image analysis.

This demonstration trains a simple neural network (without GPU requirement) to detect a medical finding within the embeddings. This process occurs in your browser after the embeddings are computed on the server.