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ProductsCT Image Analysis Software - CT Abdomen

Vendor source

Reviewed 11 May 2026

Completeness Strong (61%)

CT Image Analysis Software - CT Abdomen

United Imaging Intelligence

The CT Abdomen application is intended to processing and analyzing abdominal enhanced CT images, particularly for detecting focal liver lesions and abnormalities. It performs image analysis and processing while automatically quantifying lesion information.

No papers to support — we monitor for new evidence.

CT Image Analysis Software - CT Abdomen

Key Features

  • Lesion classification
  • Lesion HU quantification
  • Lesion localization
  • Report generation
  • Volume quantification

General Information

Product name

CT Image Analysis Software - CT Abdomen

Modality

CT

Main task

Detection, Quantification

Subspeciality

Abdomen

Disease targeted

Hepatocellular carcinoma, liver hemangioma, liver cysts

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

No research papers or evidence on file yet.

The registry monitors publications for new evidence.

Technical Specifications

Patient population age

Adult

Input

contrast-enhanced abdomen CT images

Input format

DICOM

Output

Lesion bounding box, lesion classification, lesion localization, lesion list, table and graph of quantified values, reports

Output format

Not specified

Integration

Integration in standard reading environment (PACS), Stand-alone webbased

Deployment

Cloud-based, Locally on dedicated hardware, Locally virtualized (virtual machine, docker)

Trigger for analysis

Automatically, right after the image acquisition

Processing time

Not specified

Population

Adults. Not suitable if abdominal structure identification is affected, including incomplete enhancement phase examination and surgical history. Use with caution in case of incomplete imaging field of view or poor image quality.

Market Presence

On market since

08-2025

AI Platforms

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

One-time license fee, Pay-per-use, Subscription

Based on

Number of analyses, Number of installations, Number of users

Source: Vendor | First published: Oct 13, 2025 | Last updated: May 11, 2026