This automated n8n workflow transforms uploaded radiology images into professional, patient-friendly PDF reports. It uses AI-powered image analysis to interpret medical scans, simplify technical terms, and produce clear explanations. The reports are formatted, converted to PDF, stored in a database, and sent directly to patients via email, ensuring both accuracy and accessibility. 🏥 Workflow Overview: Simple Process Flow: Upload Image → 2. AI Analysis → 3. Generate Report → 4. Send to Patient 🔧 How It Works: Webhook Trigger - Receives image uploads via POST request Extract Image Data - Processes patient info and image data AI Image Analysis - Uses GPT-4 Vision to analyze the radiology image Process Analysis - Structures the AI response into readable sections Generate PDF Report - Creates a beautiful HTML report Convert to PDF - Converts HTML to downloadable PDF Save to Database - Logs all reports in Google Sheets Email Patient - Sends the report via email Return Response - Confirms successful processing 📊 Key Features: AI-Powered Analysis using GPT-4 Vision Patient-Friendly Language (no medical jargon) Professional PDF Reports with clear sections Email Delivery with report attachment Database Logging for record keeping Simple Webhook Interface for easy integration 🚀 Usage Example: Send POST request to webhook with: json { "patient_name": "John Smith", "patient_id": "P12345", "scan_type": "X-Ray", "body_part": "Chest", "image_url": "https://example.com/xray.jpg", "doctor_name": "Dr. Johnson", "patient_email": "john@email.com" } ⚙️ Required Setup: OpenAI API - For GPT-4 Vision image analysis PDF Conversion Service - HTML to PDF converter Gmail Account - For sending reports Google Sheets - For logging reports Replace YOURREPORTSSHEET_ID with your actual sheet ID Want a tailored workflow for your business? Our experts can craft it quickly Contact our team
