Why Doctors Should Learn to Code
Not to become programmers. To become the kind of physician who can close the gap between a clinical insight and a working solution.
Physician-Developer Blog
I am Chukwuma Onyeije, MD, FACOG. I practice Maternal-Fetal Medicine and build AI tools for physicians. This is where I document the work and make the case for doctors who code.
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Not to become programmers. To become the kind of physician who can close the gap between a clinical insight and a working solution.
Physicians do not have an information problem. We have a conversion problem. Inside the Telegram-driven research engine I built to turn links, papers, transcripts, and videos into drafts, PDFs, and durable editorial records.
A practical path for physicians who want to move from GitHub basics to building real medical AI projects.
Most physician-developers never ship their first AI project. The problem is not skill. It is scope. Here is a framework for choosing a project that lands.
There are thousands of medical AI repositories on GitHub. Most are abandoned, half-built, or unreproducible. Here is how to find the ones that actually work.
The Author
Maternal-Fetal Medicine specialist at Atlanta Perinatal Associates. I build AI-powered clinical tools because physicians with domain expertise build better healthcare technology than external vendors ever will.
Founder of CodeCraftMD (AI medical documentation) and OpenMFM.org (open-source MFM education).
Full biography →Specialty
MFM / High-Risk OB
Credential
MD, FACOG
Project
CodeCraftMD
Project
OpenMFM.org