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Why I Built This

A personal solution to medical AI information overload

The Problem

We're living through an explosion of AI research in medicine. Every day, dozens of papers are published across PubMed, arXiv, bioRxiv, and medRxiv exploring how artificial intelligence can improve healthcare.

As someone passionate about AI in medicine, I found myself overwhelmed. Important breakthroughs were getting lost in the noise. I was missing papers that directly impacted my work. The sheer volume made it impossible to stay current.

The Solution

I built Last Week in Health AI to solve this problem for myself. It's a simple tool that automatically:

  • Collects papers from top medical journals and preprint servers daily
  • Uses AI to extract the essential information from each paper
  • Presents everything in a clean, calendar-based interface
  • Sends me a daily email digest so I never miss what matters

The 6-Question Framework

Every paper is summarized using six essential questions. This framework helps me quickly understand what a paper is about without reading the full text:

1 What is the core research question? - The main thing this study is trying to answer
2 What did they find? - The key findings and conclusions
3 How did they do it? - The methods and methodology used
4 Why did they do this research? - The motivation and context
5 So what? - Real-world implications and impact
6 What are the limitations? - Shortcomings and caveats

Data Sources

Papers are collected from multiple sources to ensure comprehensive coverage:

PubMed

Top medical journals including JAMA, Nature Medicine, The Lancet, BMJ, and more

arXiv

AI/ML preprints in computer science, statistics, and quantitative biology

bioRxiv

Biology preprints including bioinformatics and computational biology

medRxiv

Health sciences preprints covering clinical research and epidemiology

Open Source

This project is open source. If you find it useful or want to contribute, you can find the code on GitHub.

The site updates automatically every day at 8 AM UTC via GitHub Actions.