
Health AI Developer Foundations (HAI-DEF)
Groups models released for use in health AI by Google. Read more about HAI-DEF at https://developers.google.com/health-ai-developer-foundations
Image Classification • Updated • 361 • 64Note CXR Foundation accelerates AI development for chest X-ray image analysis. The model is pre-trained on large amounts of chest X-rays paired with radiology reports. It produces language-aligned embeddings that capture dense features relevant for chest X-ray applications.
google/path-foundation
Image Classification • Updated • 432 • 37Note Path Foundation accelerates AI development for histopathology image analysis. The model uses self-supervised learning on large amounts of digital pathology data to produce embeddings that capture dense features relevant for histopathology applications.
google/derm-foundation
Image Classification • Updated • 649 • 43Note Derm Foundation accelerates AI development for skin image analysis. The model is pre-trained on large amounts of labeled skin images to produce embeddings that capture dense features relevant for dermatology applications.
google/hear
Updated • 43 • 11Note Health Acoustic Representations accelerates AI development for bioacoustic data e.g., coughs or breath sounds. The model is pre-trained on 300 million 2-second audio clips to produce embeddings that capture dense features relevant for bioacoustic applications.
google/txgemma-9b-predict
Text Generation • Updated • 568 • 16google/txgemma-9b-chat
Text Generation • Updated • 1.67k • 21google/txgemma-27b-chat
Text Generation • Updated • 516 • 30google/txgemma-27b-predict
Text Generation • Updated • 381 • 21google/txgemma-2b-predict
Text Generation • Updated • 2.7k • 20