Open-Source Medical AI

OpenMD: The Future of Medical AI is Open.

An open-source, community-driven platform to accelerate medical research, enhance patient care, and ensure equitable access to advanced AI tools. Founded to bring the ethos of openness to medicine.

πŸ«€πŸ§ πŸ©»πŸ§¬πŸ©ΊπŸ”¬πŸ“ŠπŸ—„οΈπŸ“ˆπŸ’‘πŸ§ͺπŸ–₯οΈπŸ§‘β€βš•οΈπŸ“‹πŸ€
  • Collaborative Modelse.g., Med-LLM-1, OpenDiag
  • Curated Medical DatasetsDe-identified, consented, versioned
  • Developer ToolsSDKs, APIs & evaluation suites
  • Research PortalReproducible studies & benchmarks
  • Community ForumClinicians & builders, together

For Researchers: Access models & data

Reproduce results, run benchmarks, and publish on open, versioned datasets β€” no gatekeeping.

For Developers: Contribute code & fine-tune

Fork the models, ship adapters, and fine-tune for your specialty with open weights and tooling.

For Clinicians: Integrate tools & provide feedback

Bring decision support to the bedside and shape the roadmap with real-world clinical feedback.

For Institutions: Partner for innovation

Deploy on your own infrastructure, meet compliance needs, and co-develop the standards of care.

Everything medicine needs, in the open

Closed models can’t be audited, reproduced, or trusted at the bedside. OpenMD publishes the whole stack β€” models, data, tools, and evaluations β€” so the medical community can verify everything.

Open model weights

Every OpenMD model ships with weights, training recipes, and evaluation cards β€” inspectable end to end.

Curated medical datasets

Rigorously de-identified, consent-first datasets with full provenance, ready for research and fine-tuning.

Developer-first tooling

Python & TypeScript SDKs, a unified inference API, and eval harnesses purpose-built for clinical tasks.

Research portal

Preprints, benchmarks, and reproducible notebooks β€” so every claim can be checked, not just cited.

Community forum

A public square where clinicians, researchers, and engineers review changes and steer priorities.

Safety by design

Red-teaming, clinical validation tracks, and transparent incident reporting baked into every release.

Collaborative models

Built with the community, evaluated in public, and free to inspect, fine-tune, and deploy.

Med-LLM-1

Flagship clinical language model

A foundation model for clinical reasoning, documentation, and literature synthesis β€” trained openly and evaluated against physician benchmarks.

Open
weights & recipe
12+
clinical eval suites
40+
languages

OpenDiag

Multimodal diagnostic assistant

Imaging-and-text diagnostic support for radiology, dermatology, and pathology workflows β€” designed to assist clinicians, never replace them.

3
imaging modalities
Audit
trails built in
On-prem
deployable

Safety is a shared responsibility

Medical AI must earn trust the way medicine always has: through evidence, peer review, and accountability. Every OpenMD release passes clinical validation tracks and adversarial red-teaming before it ships β€” and every finding is published.

  • Clinical validation with practicing physicians
  • Transparent model & data cards for every release
  • Public incident reporting and postmortems
  • Patient privacy first: de-identified, consented data only

Join the community building open medical AI

Whether you write code, see patients, run studies, or lead an institution β€” there’s a place for you in OpenMD.

Get in touch

Partnership inquiries, dataset contributions, clinical pilots, press β€” tell us how you'd like to work with OpenMD and we'll reply personally.