Convert Radiology Images to Patient-Friendly Reports with GPT-4 Vision & PDF Email

Description

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:
{
"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": "[email protected]"
}

⚙️ 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 YOUR_REPORTS_SHEET_ID with your actual sheet ID

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