Turning CT scans into quantified medical intelligence
A fully automated AI platform that analyzes, segments, and quantifies CT scans—revealing clinical insights that elevate diagnostics, screening, and care decisions.
Transforming complex CT scan data into clear, accurate, and clinically actionable intelligence you can trust.
CORE Approach
Reimagining what a
CT scan
can reveal
Every routine CT scan holds valuable information about cardiovascular risk, body composition, and organ health, but it usually goes unmeasured because extracting it manually is slow and impractical. We built an AI system that extracts this value automatically, detecting coronary calcification, quantifying fat and muscle, analyzing liver health, and generating structured medical reports without manual effort.
The Core Intent of Our Approach
The goals that defined our direction, ensuring every measurement
is reproducible, smarter, and more meaningful.
Unify anatomical metric
Bring organ, liver, bone, fat, and muscle analysis together under one dependable AI engine.
Transform pixels into precision
Turn unstructured CT slices into structured, color-coded analytics ready for clinical interpretation.
Preserve true anatomy
Enhance visibility while protecting the authentic boundaries and biological details.
Build for clinical scalability
Create an expandable imaging foundation that adapts across diseases, workflows, and environments.
THE PROBLEM
Why traditional CT
interpretation falls short
Before clarity was possible, CT data arrives with scanner variability, low tissue contrast and motion artefact.
Scan variability
Different scanners and positions create inconsistent baselines.
Low tissue contrast
Soft-tissue boundaries blur without enhanced segmentation.
Noise & artifacts
Motion and reconstruction noise obscures early clinical indicators.
Anatomy complexity
Variations across patients demand adaptive, not manual, interpretation.
WORKFLOW
How we turn raw CT
into intelligence
A step-by-step system that converts complex CT data into usable medical intelligence.
Stabilize
scan geometry
Normalize orientation and align key landmarks like L1/L3.
Segment
critical regions
AI detects muscles, liver, bones, visceral & subcutaneous fat.
Validate
every output
Visual + statistical checks ensure consistency across all scans.
Standardize
final outputs
Generate attenuation, density, volume, and compartment measurements.
Transformation
How each
region improved
Every CT scan captures a detailed view of the body’s anatomy, enabling advanced analysis of tissue composition, fat, muscle, and other clinically relevant characteristics.
Coronary calcium analysis
AI automatically detects, segments, and scores coronary calcium in CT images, revealing early plaque buildup and giving clinicians clearer insights into cardiovascular risk.
Result
What clarity made possible
With anatomy segmented and measurements standardised, every scan became a dependable basis for analysis, monitoring, and intelligent
decision-making.
Reproducible Measurements
|
Consistent Across Scanners
|
Audit-Ready Outputs
|
Trustworthy Clinical Insights
CASE STUDIES
Explore related projects with similar challenges and outcomes.