MedTech
Open Models
Foundation models for 3D medical image segmentation, synthetic data generation, clinical reasoning, and physical AI — now runnable by your coding agent.
Physical AI
3 models built on Cosmos and GR00T for vision-language-action control, surgical world modeling, and sim-to-real transfer via Isaac and Holoscan
GR00T-H
Healthcare Physical AI VLA
Vision-language-action model for multi-embodiment surgical and clinical robot control across 16 platforms.
Cosmos-H-Surgical
Surgical World Model
Predict future surgical states and transfer simulation to photorealistic video for scalable synthetic data generation.
Cosmos-H-Surgical-Simulator
Action-Conditioned Simulation
Predict surgical outcomes from robot actions for in-silico policy evaluation and synthetic data generation.
Medical Imaging
8 models spanning MONAI-powered segmentation, raw signal reconstruction, synthetic volume generation, and clinical VLM reasoning across CT, MRI, X-ray, and ultrasound
NV-Segment-CT
132-Class CT Segmentation
Automatic and interactive segmentation of 132 anatomical structures in CT images with point-click refinement.
Run with an agentNV-Segment-CTMR
345+ Class CT & MRI Segmentation
Automatic segmentation of 345+ anatomical structures across CT body, MRI body, and MRI brain modalities.
Run with an agentNV-Raw2Insights-MRI
Raw MRI Signal Reconstruction
Transform raw MRI signals into high-quality clinical images with accelerated reconstruction and motion correction.
NV-Raw2Insights-US
Raw Ultrasound Processing
Translate raw ultrasound pressure measurements into clinical-quality images with physics-informed AI.
NV-Generate-CT
3D CT Synthesis
Generate high-resolution synthetic CT volumes up to 512x512x768 with controllable anatomy and paired segmentation masks.
Run with an agentNV-Generate-MR
3D MRI Synthesis
Generate synthetic MRI volumes with Rectified Flow for 33x faster inference. Brain, abdomen, breast, and prostate coverage.
Run with an agentNV-Generate-MR-Brain
3D Brain MRI Synthesis
Generate synthetic brain MRI across T1w, T2w, FLAIR, and SWI contrasts with cross-sequence synthesis via ControlNet.
Run with an agentNV-Reason-CXR
Chest X-Ray Clinical VLM
Vision-language model for chest X-ray interpretation with step-by-step chain-of-thought clinical reasoning.
Run with an agentRun these models with your coding agent
12 agent skills cover the imaging models — a run skill for the segmentation, generation, and chest-X-ray models, finetune skills, and 3 DICOM utilities. Install one and Claude Code, Cursor, or Codex runs the model correctly on the first try. Engineering and research use only.
with the skill
with the README alone
Across 9 model skills and 3 agent backends — an engineering-reproducibility result. Methodology.
npx skills add NVIDIA-Medtech/medical-AI-skillsOpen the Agent Skills spec at agentskills.io, or browse all on GitHub.
Run a model
6Finetune a model
3DICOM utilities
3Why MedTech Open Models
Built for medical imaging researchers and developers
Start from Strong Foundations
Foundation models pre-trained on large-scale medical datasets. Fine-tune on your data instead of training from scratch.
From 2D to 4D
CT, MRI, X-ray, ultrasound, and surgical video in one collection. Static images through dynamic physiology.
Synthetic Data Generation
Create synthetic volumes to augment training, simulate rare pathologies, and enable privacy-preserving data sharing across institutions.
Open Weights
Download from HuggingFace and run locally. No API keys, no cloud dependency. Apache 2.0 source with model weights for commercial and research use.
Run with Your Agent
Agent skills wrap each model so Claude Code, Cursor, or Codex calls it correctly — right flags, right inputs — from a plain-language prompt.
Research to Deployment
Every model includes pre-trained weights, example configs, and documentation. Go from paper to inference with minimal setup.