From Apple Health Data to Clinical Storytelling: Building an AI-Powered Report with Python and Gemini

Short summary

A tutorial demonstrating how to combine Apple Health data exports, deterministic Python processing, and Gemini LLM to generate structured health reports. The pipeline calculates metrics and visualizations in Python, then uses Gemini only to compose a readable narrative from pre-processed results. The project uses simulated patient data and explicitly positions itself as a prototype, not a medical application.

• •Python handles all calculations; Gemini only formats pre-processed metrics into narrative text
• •Uses simulated data from three patients for reproducibility without real clinical data
• •MedGemma mentioned as potential alternative for healthcare-specific tasks

Generated with AI, which can make mistakes.