The Jetsons Problem in Clinical Medicine
Artificial intelligence in clinical medicine promises abundance. The real risk is not too little data, but too little agency, attention, and equity.
· 9 min read
Part 2: What We Should Actually Build
Maternal-Fetal Medicine Specialist & Founder, CodeCraftMD
How I Used Code (and AI) to Fix One of Healthcare’s Most Painful Bottlenecks: Prior Authorizations
Specifically, the Prior Authorization (PA).
How Doctors Learn to Code in 2026: Why the New Path Beats Tutorials, Bootcamps, and YouTube Overload
A manifesto for physicians who want to build software, solve clinical problems, and actually ship products.
The Future of Clinical Documentation: A Practical AI Tech Stack for Physicians Who Code
> Keywords: AI clinical documentation, ambient transcription, EvidenceMD, CodeCraftMD, physician automation, clinical workflow, medical billing automati...
What Is Machine Learning?
Ive recently started reading Why Machines Learn by Anil Ananthaswamy, a book that traces the elegant mathematics behind modern artificial intelligence....
PlacentaVision AI: Revolutionizing Maternal Health with Smart Imaging
Discover how Placentavision AI transforms maternal healthcare using smartphone-based placental imaging. Learn how this breakthrough technology saves liv...