Open-H-Embodiment
A community-driven dataset initiative building the shared foundation to train and evaluate generalist vision-language-action models for healthcare robotics.
Open healthcare and life sciences
Open-H
A community-led foundation for shared datasets and open models across Healthcare and Life Sciences.
A shared foundation
Data moves healthcare and life sciences forward.
Open-H brings academic groups, clinicians, and industry teams together to build research resources that are useful beyond any single institution or platform.
Our current initiatives span embodied robotic data, endoluminal robotics, raw ultrasound channel data, physiological modeling, and robotics in hospital settings.
Current work
Five initiatives, one open ecosystem.
Each effort creates a practical route for the community to contribute data, methods, and domain expertise.
Open-H-Endoluminal
An emerging effort focused on endoluminal robotics data and the shared infrastructure needed to advance minimally invasive robotic systems.
View GitHub repository
Open-H-RF
An open effort to create high-quality raw ultrasound channel data and foundation models for reconstruction, flow, quantitative imaging, motion estimation, and interpretation.
Open-H-4D
A collaborative collection of 4D cardiac and respiratory imaging — openly licensed 4D CT, MRI, and ultrasound — for training foundation models of physiological motion.
View GitHub repository
Open-H-Hospital
A community-driven initiative for ambient hospital data and physical robotics in hospital settings — from humanoids to quadrupeds — accelerating physical AI and spatial intelligence for hospital workflows.
Open private repositoryGitHub access is currently required.
Participate
Bring the perspective only you have.
Open-H grows through contributed datasets, technical collaboration, and expert clinical annotation.
Academic and industry groups
Contribute data and technical work.
Start with the GitHub home for the initiative that matches your data. Repository documentation contains the current scope, formats, and contribution process.
Clinicians
Help make shared data clinically meaningful.
Register for the Open-H annotation platform to review healthcare images and video, contribute expert labels, and take part in active annotation projects.
Register to annotate
Open by design
A durable commons for healthcare and life sciences.
Progress in healthcare and life sciences requires broad, representative data and shared technical foundations. Open-H is building them with the community.