Tag

machine-learning

5 posts

A Jupyter notebook showing a clinical risk calculator being built with Python and scikit-learn
AI in Medicine

Your First Medical AI Project on GitHub: How to Choose One You Will Actually Finish

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.

· 8 min read
githubmedical-aiphysician-developer
A GitHub search results page filtered to medical AI repositories, showing stars, forks, and last commit dates
AI in Medicine

Navigating Medical AI on GitHub: What Is Worth Your Time

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.

· 7 min read
githubmedical-aiopen-source
Blogging

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...

· 6 min read
ai-in-healthcareai-revolutionambient-ai
Blogging

📊 Scalars and Vectors: The Building Blocks of Machine Learning in Medicine

When clinicians hear about artificial intelligence, we often jump straight to buzzwords like deep learning or neural networks. But behind every powe...

· 4 min read
ai-in-medicinemachine-learningmedical-data
Blogging

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....

· 3 min read
anilananthaswamyartificial-intelligencebooknotes