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Key Features

  • Editable report
  • Editable separate pathology report
  • Lumbar spine annotation
  • Measurement calculation based on segmentation
  • Smart navigation

General Information

Product name

CoLumbo

Subspeciality

Spine

Modality

MR

Disease targeted

Disk herniation (Protrusion / Extrusion modifiers), Central Spinal Stenosis (CSS), Shizas and Lee morphological grading, decreased vertebral body heights, decreased disk height, hypo/hyperlordosis, nerve root impingement, listhesis

Main task

Not specified

Technical Specifications

Population

Europe - MRI lumbar spine studies, age – 18 to 70 (included)_x000D_ USA - MRI lumbar spine studies, age – 18+

Patient population age

Not specified

Input

Lumbar spine MR, Magnetic Field Strength 1,5-3T. At least one sagittal T2w sequence containing 5 slices or more. Scanning Sequence – SE

Input format

DICOM

Output

Segmentation overlay, probability score per pathology, draft radiology report, image annotations, table of quantified values, list with measurements.

Output format

DICOM, DICOM PDF

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone third party application

Deployment

Cloud-based, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, Etc., Image upload, On demand, Right after the image acquisition, Triggered by a user through e.g. a button click

Processing time

10 - 60 seconds

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Not verified by Health AI Register
FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

03-2021

AI Platforms

Blackford Analysis, CARPL.AI, Deepc, Incepto, Philips Healthcare, Sectra, TeraRecon

Resellers

Osimis

Countries present

9 (USA, Germany, Italy, France, Spain, Belgium, Netherlands, Austria, Switzerland)

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of analyses

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Clinical Assessment of CoLumbo Deep Learning System for Central Canal Stenosis Diagnostics

Peer-Reviewed

View

Detection of Degenerative Changes on MR Images of the Lumbar Spine with a Convolutional Neural Network: A Feasibility Study

Source: vendor | First published: Sep 3, 2024 | Last updated: Jul 9, 2025