AI-driven medical imaging analysis

Body composition, quantified automatically

adipose.ai provides automated quantification of subcutaneous and visceral adipose tissue from medical imaging — objective, reproducible measurements that support clinical decision-making.

adipose.ai
<60s
Analysis time per study
SAT + VAT
Dual-compartment quantification
DICOM
Native imaging compatibility
100%
Automated & reproducible

One platform, complete adipose tissue analysis

From raw imaging to clinical insight — without manual segmentation.

Subcutaneous Fat Quantification

Automated segmentation and volumetric measurement of subcutaneous adipose tissue from cross-sectional imaging, delivered in seconds.

Visceral Fat Analysis

Precise delineation of visceral adipose tissue — a key biomarker for metabolic and cardiovascular risk stratification.

Clinical Decision Support

Structured, reproducible reports that integrate into existing workflows and give clinicians objective data at the point of care.

How it works

Three steps from scan to standardized measurement.

01

Upload imaging

Securely upload CT or MRI studies through our DICOM-compatible interface.

02

AI analysis

Deep-learning models segment and quantify subcutaneous and visceral adipose tissue automatically.

03

Actionable report

Receive standardized measurements and visual overlays ready for clinical decision-making.

Bring objective body composition data to your clinic

See how automated adipose tissue quantification can support your clinical decision-making.

Get in touch