Tutorial: Building a $1.5M Medical AI Agent Pipeline with LangGraph
MaryamMiradi · x · 2026-08-11
The author explores how to build a highly valuable medical AI agent pipeline to solve deployment pain points, such as clinician distrust of black-box AI and time-consuming data cleaning.
Based on a relevant paper, the author rebuilt the system using LangGraph and Python. The tutorial details a setup featuring multiple helper agents:
- Agent 1 (File Reader): Automatically reads and routes various file formats.
- Agent 2 (Privacy Guard): Identifies and masks sensitive patient information (names, IDs, etc.), including blacking out text in medical images.
- Agent 3 (Data Reader): Handles subsequent data processing and analysis.
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