🔬 Automate X-ray analysis with VLM Orion and distribute to Gmail, Telegram & Drive

⚡ 72 views · 🔬 Document Extraction & Analysis

Description

📌 Overview

This workflow provides an automated pipeline for processing medical X-ray images using VLM Run (model: vlmrun-orion-1:auto), and distributing the AI-generated analysis to multiple channels—email, Telegram, and Google Drive.

⚙️ How It Works

1. Upload X-Ray Image

A Form Trigger allows the user to upload an X-ray file. Once the image is submitted, the workflow immediately starts processing.

2. Automated X-Ray Analysis

The uploaded X-ray image is sent to VLM Run (vlmrun-orion-1:auto) via an OpenAI-compatible endpoint.

The model returns:

• A text-based interpretation or description
• A disease-highlighted output image (if detected)
• A URL reference pointing to the annotated result image stored in Google Cloud

3. Extract Artifact

From artifact reference, download file using artifact node.

4. Generate Report File

The Convert to File node transforms the analysis text into a shareable .txt report. This file is used both for email and Drive storage.

5. Send Notifications to Gmail & Telegram

The workflow automatically:

📧 Emails the doctor (or configured staff email):

• The diagnostic description
• The generated report file
• The annotated X-ray image

📨 Sends a Telegram message containing:

• The same report
• The disease-highlighted X-ray image

This ensures instant notification and cross-platform availability.

6. Upload to Google Drive

The final step uses Google Drive OAuth2 to store:

• The report file
• The annotated medical image

These files are uploaded to a designated Drive folder for archiving and future reference.

🧩 Key Features

• ✔️ Automated X-ray processing using VLM Run
• ✔️ Structured extraction of annotated medical images
• ✔️ Multi-channel notification (Email + Telegram)
• ✔️ Centralized archive via Google Drive
• ✔️ Zero manual intervention after upload
• ✔️ Works with OpenAI-compatible VLM endpoints

🔧 Requirements

• VLM Run API Credentials Required to call vlm-agent-1 for image analysis.

• Gmail OAuth2 Credentials Needed to automatically email the diagnostic report.

• Telegram Bot Token Sends analysis results to a Telegram chat or group.

• Google Drive OAuth2 Stores reports and annotated images in Google Drive.

📎 Notes

This workflow automates image handling and communication. All AI-generated content must be reviewed by a qualified medical professional before any clinical use.

🔗 Nodes Used

Telegram, Google Drive, Gmail, n8n Form Trigger, Convert to File, OpenAI

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup