Diagnostic assistance, quantification, characterization, image reconstruction: medical artificial intelligence at your fingertips for radiology.
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CoLumbo

AI-Powered Precision for Lumbar Spine MRI

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CoLumbo is an AI solution for automatic segmentation and measurement in lumbar spine MRI. By delivering annotated sequences and pre-filled reports, it enhances diagnostic confidence and saves time in radiologists’ daily workflow.

On average, 4 out of 5 people will suffer from lower back pain in their lives. With the aging population worldwide, this pathology’s prevalence is steadily rising, while it is already the leading cause of years lived with disability. Over the last decades, the number of lumbar MRIs has been increasing at a much higher rate than the number of radiologists interpreting these images. In France, almost 1 out of 4 MRIs is a lumbar MRI: even though its reading and its reporting may not be systematically complex, they prove to be particularly tedious and repetitive.
CoLumbo CE

Threshold Customization

CoLumbo allows radiologists to set custom measurement thresholds for pathology detection. This flexibility ensures results align with clinical preferences and supports personalized reporting workflows.


Segmentation, Measurements & Diagnosis

CoLumbo automatically detects and quantifies common lumbar spine pathologies, including disc bulging, herniation, nerve root impingement, central stenosis (Schizas grading), reduced disc and vertebral height, spondylolisthesis, and more. It delivers two fully annotated MRI series (axial and sagittal) directly in the radiologist’s viewing console for fast, accurate interpretation.


Automated Reporting in TANGO

CoLumbo seamlessly integrates with TANGO to pre-fill structured reports with detected findings and measurements. This automation saves valuable reporting time while giving radiologists full flexibility to review and customize content, ensuring speed without sacrificing accuracy.


Time Savings: Cut reading and reporting time by up to 60% (5), freeing radiologists to focus on what matters most: patient care.

Improved Diagnostic Performance: Reduce errors and omissions by up to 15% (1), boosting accuracy and confidence in every report.

Structured, Customizable Reports: Automatically generate structured reports that are fully customizable, streamlining documentation while maintaining flexibility for individual preferences.

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Publications

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

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

  3. 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).

  4. 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).

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

Regulatory

CoLumbo medical device is a regulated health product that bears the CE mark, Class IIa. Notified Body: Kiwa Dare BV. n°1912. Manufacturer: Smart Soft Healthcare. CoLumbo is a diagnostic tool and shall not be used alone to recommend medical care for diagnostic purposes. Please read the instructions in the user manual carefully. Please contact [email protected] for more information. Last update: 2026/10/28

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Publisher

Smart Soft Healthcare was established in 2021. Founders of Smart Soft Healthcare are Nedelcho Georgiev and Asen Asenov. Nedelcho Georgiev has a proven track record of developing successful and profitable software products. Smart Soft Healthcare’s strategy is to develop computer algorithms and solutions that will boost efficiency and provide reliable results in an easier and faster way. The company targets the eHealth market as one of the faster-growing markets.