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

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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

Best for

Document Extraction automation workflows
AI Summarization automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.formtrigger, n8n-nodes-base.converttofile, n8n-nodes-base.merge, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.gmail, n8n-nodes-base.telegram, n8n-nodes-base.googledrive

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Mehedi Ahamed.

Original n8n.io source

1.1 Workflow description

Title: Automate X-ray analysis with VLM Orion and distribute to Gmail, Telegram & Drive
Workflow name: Automate X-ray analysis with VLM Orion and distribute to Gmail, Telegram & Drive

📌 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.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Upload X-Ray Image

Type / Role: n8n-nodes-base.formTrigger - formTrigger
Config choices: Version 2.2

Block 4 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 5 - Convert to Report

Type / Role: n8n-nodes-base.convertToFile - convertToFile
Config choices: Version 1.1

Block 6 - Merge

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 7 - Analyze X-Ray

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 1.8

Block 8 - Send Details

Type / Role: n8n-nodes-base.gmail - gmail
Config choices: Version 2.1

Block 9 - Send Details1

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 10 - Upload Report

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 3

Block 11 - Set Key

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 12 - Get Image Artifact

Type / Role: @vlm-run/n8n-nodes-vlmrun.vlmRun - vlmRun
Config choices: Version 1

3. Summary Table

Workflow	Automate X-ray analysis with VLM Orion and distribute to Gmail, Telegram & Drive
Complexity	intermediate
Nodes	12
Categories	Document Extraction, AI Summarization
Author	Mehedi Ahamed
Published	19 Nov 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/10997/10997.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Document Extraction workflows AI Summarization workflows

Frequently asked questions

What does Automate X-ray analysis with VLM Orion and distribute to Gmail, Telegram & Drive do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.

Mehedi Ahamed

3 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.formtrigger n8n-nodes-base.converttofile n8n-nodes-base.merge @n8n/n8n-nodes-langchain.openai n8n-nodes-base.gmail n8n-nodes-base.telegram n8n-nodes-base.googledrive

Complexity

intermediate

Published 19 Nov 2025

Likes 0

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Install path: /data/workflows/10997/10997.json

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

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

📌 Overview

⚙️ How It Works

1. Upload X-Ray Image

2. Automated X-Ray Analysis

3. Extract Artifact

4. Generate Report File

5. Send Notifications to Gmail & Telegram

6. Upload to Google Drive

🧩 Key Features

🔧 Requirements

📎 Notes

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note

Block 2 - Sticky Note1

Block 3 - Upload X-Ray Image

Block 4 - Sticky Note2

Block 5 - Convert to Report

Block 6 - Merge

Block 7 - Analyze X-Ray

Block 8 - Send Details

Block 9 - Send Details1

Block 10 - Upload Report

Block 11 - Set Key

Block 12 - Get Image Artifact

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions