Jack Williamson's 1947 story imagined machines that obeyed humanity perfectly and destroyed it anyway. Medicine is building the same objective function.
Fetal growth restriction is not just an ultrasound diagnosis. It is a longitudinal data problem. Clinical AI will not replace MFM judgment, but it can help surface the pregnancies whose risk is already visible in the record.
The MV Hondius outbreak was not only a rare infectious disease story. It exposed familiar failures in travel history, triage logic, outbreak data exchange, and emergency logistics.
Clinical software can execute protocol logic perfectly and still be wrong for the patient. The physician checkpoint must remain part of the architecture.
A reliable clinical application separates guideline logic from presentation, tests expected behavior, and carries provenance into every recommendation.
Clinical protocols reduce avoidable variation, but software must preserve their population boundaries, exceptions, provenance, and judgment points.
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.
Maternal-Fetal Medicine Specialist, Medical Director at Atlanta Perinatal Associates, Founder of CodeCraftMD
Maternal-Fetal Medicine Specialist & Founder, CodeCraftMD
> Keywords: AI clinical documentation, ambient transcription, EvidenceMD, CodeCraftMD, physician automation, clinical workflow, medical billing automati...
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