Convert Radiology Images to Patient-Friendly PDF Reports with GPT-4 Vision
Automates radiology image analysis using GPT-4 Vision to generate simplified, patient-friendly PDF reports, stores them in Google Sheets, and emails to patients via webhook trigger.
This n8n workflow revolutionizes healthcare documentation by converting uploaded radiology images (e.g., X-rays, MRIs) into professional, jargon-free PDF reports tailored for patients. Triggered by a simple webhook POST request with patient details and image URL, it leverages GPT-4 Vision for accurate AI-powered analysis of scans, extracting key findings like abnormalities, measurements, and impressions in plain language.
The process structures the AI output into clear sections (e.g., Summary, Findings, Recommendations), generates polished HTML templates, converts them to PDFs, logs everything in Google Sheets for record-keeping, and automatically emails the report as an attachment to the patient. A success response confirms completion, enabling seamless integration with apps or websites.
Benefits include massive time savings for radiologists and clinicians, improved patient understanding and satisfaction, compliance-ready logging, and scalability for clinics or telehealth services. Use cases: Automate report generation in hospitals, integrate with patient portals, or streamline remote diagnostics—reducing manual effort from hours to minutes while ensuring accessibility and accuracy.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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