OpenMed AI is a student-run nonprofit where premed members build real AI software and publish real research, instead of waiting for a curriculum to teach it eventually.
Our mission is to put real AI tools and real research experience directly into the hands of premed students, years before any classroom would.
We're not a club that talks about AI in medicine from the sidelines. OpenMed AI is run by premed students who build working software, ship real projects like our sickle cell detection model, and write research that other students actually use, all before a single one of us has set foot in med school.
Premed students are told AI is "the future of medicine," then handed a biology textbook. The people closest to where healthcare is headed are usually the furthest from the technology shaping it, and most don't touch a real AI project until residency, if ever.
We think that's backwards. So we skipped waiting for permission and started building.
Our current flagship project is an AI model that screens for sickle cell disease faster and more accessibly than traditional lab workflows allow. It's built end-to-end by our own team: premed members defining the clinical problem, engineers building the model.
It's still in active development, not a finished product, but it's the clearest example of what we mean when we say we build instead of just talk. See the full project →
Software is half of what we do. The other half is writing: our members publish articles and breakdowns on where AI and medicine actually intersect, building a resource for other premed students while building their own research portfolio at the same time.
No official program teaches this yet. We're not waiting for one to. Read our writing →
We're looking for premed students and engineers who want to build, not just observe.
Help build and refine the sickle cell detection model and future AI tools.
Join the build team →