CXR Foundation от Google — это специализированная ИИ-модель для анализа рентгеновских снимков грудной клетки с помощью эмбеддингов. Она позволяет разработчикам эффективнее создавать медицинские нейросети, требуя меньше данных и вычислительных мощностей для обучения.
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.