Diagnostic assistance, quantification, characterization, image reconstruction: medical artificial intelligence at your fingertips for radiology.
Back to AI solutions

CoLumbo FDA

AI-based diagnostic solution for lumbar MRI interpretation

Discover

CoLumbo is an Artificial Intelligence solution that automatically segments, measures, and analyzes the main structures and abnormalities of lumbar MRI. By delivering annotated MRI sequences and pre-filled reports, CoLumbo provides diagnostic comfort and potential time saving in the radiologist’s clinical routine.

CoLumbo FDA

Segmentation, measurements, and diagnosis

"CoLumbo provides the segmentation and measurements of the main structures in lumbar MRI. It detects and quantifies the most frequent pathologies, such as bulging, herniation, nerve root impingement, central stenosis with Schizas grading, reduced disc and vertebral height, spondylolisthesis, ...
Two annotated series, axial and sagittal, are directly accessible in the radiologist's viewing console. "



Time savings: reduces reading and writing time by up to 60%. (5)

Nous récupérons les données... Veuillez patienter quelques secondes, puis réessayer de couper ou copier.

Nous récupérons les données... Veuillez patienter quelques secondes, puis réessayer de couper ou copier.

Save time, secure your diagnosis and optimize your workflow with Incepto

Request a demo

Publications

  1. Georgiev R, Novakova M, Bliznakova K. Clinical Assessment of CoLumbo Deep Learning System for Central Canal Stenosis Diagnostics. EJMO 2023;7(1):42–48. 

  2. Lehnen, N. C. et al. Detection of Degenerative Changes on MR Images of the Lumbar Spine with a Convolutional Neural Network: A Feasibility Study. Diagnostics 11, 902 (2021).  

  3. Georgiev, N. & Asenov, A. Automatic Segmentation of Lumbar Spine MRI Using Ensemble of 2D Algorithms. in Computational Methods and Clinical Applications for Spine Imaging  vol. 11397 154–162 (Springer International Publishing, 2019). 

  4. Pr. Dr. Radoslav Georgirev, Clinical Evaluation Report CoLumbo (2020)

  5. Yang, Yi Xian Cassandra et al., An artificial intelligence boost to MRI lumbar spine reporting, European Journal of Radiology, Volume 179, 111636 (July 2024)

Regulatory

Contact us to know if this product is available in your country.

No items found