Open Medical Imaging AI benchmarks
Reproducible evaluation suites that let imaging models be compared honestly across institutions, scanners, and patient populations — a prerequisite for trustworthy deployment.
Impact & transparency
A living view of the medical AI research Medical Shield AI is funding today, what we plan to support next, and the commitments we make to every contributor along the way.
Reproducible evaluation suites that let imaging models be compared honestly across institutions, scanners, and patient populations — a prerequisite for trustworthy deployment.
Datasets and baseline models that extend clinical language understanding beyond English, so care documentation and decision support work for more of the world's patients.
Research into AI copilots that help frontline health workers prioritize care in high-volume settings — with a strict focus on safety, escalation, and human oversight.
Interpretability methods that make model reasoning legible to clinicians. Without it, even accurate models can't be safely integrated into clinical workflows.
Establish the fund, publish the on-chain wallet, and document allocation and reporting processes.
Direct initial contributions to open datasets, reproducible benchmarks, and evaluation methodology.
Support small, well-scoped applied research collaborations with academic labs and clinical partners.
Publish periodic reports summarizing outcomes, negative results, learnings, and next priorities.
Every contribution arrives at a single Solana address, verifiable in real time on any block explorer.
We fund research; we don't practice medicine. We are careful not to overstate what any project can achieve — or when.
When we share progress, we share limitations and negative results. When we don't have outcomes yet, we say so plainly.
Funding decisions serve the mission — never tied to a single vendor, product, protocol, or platform.