Automated X-ray analysis with VLM Orion and distribute to Gmail, Telegram & Drive Solution

Workflow overview

Why this workflow matters

Relevant for managed services and support workflows. Supports knowledge capture and document intelligence use cases.

📌 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.

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