Automate X-Ray Analysis with VLM-agent-1 and Distribute to Gmail, Telegram & Drive

📌 Overview

This workflow provides an automated pipeline for processing medical X-ray images using VLM Run (model: vlm-agent-1), 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 (vlm-agent-1) via an OpenAI-compatible endpoint.

The model returns:

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

3. Extract Output Image URL

A Code node scans the model response and extracts the first valid
https://storage.googleapis.com/... image link.

This clean URL is passed downstream for:

• File downloads
• Storage
• Email and Telegram distribution

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.