jst/medics AI is our state-of-the-art AI model that turns medical imaging into interactive 3D models, so surgeons can plan procedures with unprecedented precision and confidence.
Deep-learning segmentation transforms DICOM scans into voxel-accurate 3D models that resolve adjacent structures with similar HU values.
Color-coded automatic identification of arteries, veins, parenchyma, tumors, and collecting systems — beyond what HU-based methods can isolate.
Interactive views, distance and volume measurements, and approach simulation that surface the safest route to the target.
Upload a DICOM study and receive a clinical-ready 3D model within two working days, without manual segmentation.
from upload to ready
From your DICOM upload to an interactive 3D model in less than two working days.
But with limited differentiation capabilities
Fully automated AI-based processing
Manual or semi-automatic segmentation
Cannot differentiate structures with similar values
Voxel-by-voxel analysis for detailed anatomical structure recognition
Segmentation based on HU
Identifies only three main structures (bones, arteries, contrast-enhanced urine)
Recognizes adjacent structures with similar HU values (veins, parenchyma, sinus fat, cysts, tumors)
Can distinguish only a few structures based on contrast
Does not allow detailed vascular and critical-structure analysis
Advanced precision for preoperative visualization and analysis
Requires operator expertise for segmentation
But with extremely limited functionality
Fully automated processes, reducing time and errors
Manual or semi-automatic work, up to €1,000 per reconstruction