
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 • 332 • 38Note 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/cxr-foundation
Image Classification • Updated • 296 • 66Note 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/derm-foundation
Image Classification • Updated • 1.04k • 44Note 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 • 109 • 16Note 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/hear-pytorch
Updated • 3Note 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 • 5.66k • 21google/txgemma-9b-chat
Text Generation • Updated • 3.93k • 30google/txgemma-27b-chat
Text Generation • Updated • 1.48k • 45google/txgemma-27b-predict
Text Generation • Updated • 1.41k • 24google/txgemma-2b-predict
Text Generation • Updated • 7.03k • 30