FDA Clearance Is Not a Monitoring Plan
Clinical AI can fail without crashing. Physician-developers must build the monitoring, outcome linkage, and human checkpoints that keep cleared software safe after deployment.
Official Site · Physician-Developer Journal
The official site of Chukwuma Onyeije, MD, FACOG.
Doctors Who Code is where I write as an Atlanta maternal-fetal medicine specialist and physician-developer building AI tools, clinical documentation systems, and physician-led software.
If you searched for Chukwuma Onyeije MD, Doctors Who Code, or physician-builder essays on AI in medicine, you are in the right place.
Clinical Work
Maternal-Fetal Medicine at Atlanta Perinatal Associates
Builder Focus
AI, documentation, interoperability, and bedside tools
172
Published Essays
444
Recurring Topics
MFM
Clinical Specialty
ATL
Clinical Base
Start Here
Start with the official profile, the core argument, or a real physician-built project.
Official Profile
See the clinical background, public identity, current projects, and the case for physician-built software.
Read the profile →Core Argument
Read the thesis behind Doctors Who Code: doctors should not only use medical technology. They should help author it.
Read the essay →Builder Work
Follow the path from clinical protocol to bedside software in a concrete build teardown.
See the build →Recent Posts
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Clinical AI can fail without crashing. Physician-developers must build the monitoring, outcome linkage, and human checkpoints that keep cleared software safe after deployment.
Clinical teams do not move slowly because clinicians are slow. They move slowly because pages, meetings, and verbal handoffs force physicians to keep re-explaining decisions that software should carry forward.
AI makes clinical software cheap to produce. It does not make it safe. Physician-developers must build systems in which speed remains subordinate to evidence, judgment, and the doctor-patient relationship.
I built a pipeline that turns any email into a tagged Markdown note in my Obsidian vault, using nothing but Gmail, Apps Script, and the GitHub API.
The AI race has been about model size for years. The real bottleneck is memory: trustworthy, auditable knowledge that persists across years, not conversations. Medicine will feel this shift first.
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About the Author
I am a maternal-fetal medicine specialist at Atlanta Perinatal Associates and a physician-developer building AI-powered clinical tools because physicians with domain expertise build better healthcare technology than distant vendors ever will.
I founded CodeCraftMD for physician-led AI documentation and billing systems, and OpenMFM.org for open-source maternal-fetal medicine education.
About Chukwuma Onyeije, MD, FACOG →Official Site
DoctorsWhoCode.blog
Specialty
MFM / High-Risk OB
Credential
MD, FACOG
Project
CodeCraftMD
Project
OpenMFM.org