Vendor source

Reviewed 11 May 2026

Completeness Strong (64%)

CT Image Analysis Software - CT Pulmonary Nodules 3D Analysis

United Imaging Intelligence

The CT Pulmonary Nodule 3D application is intended to detect and analyze suspicious lung nodules in chest CT images of adult patients. The application also provides 2D and 3D reconstructed views, and analyzes parameters of nodules to assess the characteristics of the lung nodules.

No papers to support — we monitor for new evidence.

Key Features

  • Benign-maligant prediction
  • Bronchial/vascular reconstruction
  • Graphic diagnostic reports
  • Incisal expanson
  • Local VR
  • Lung segment focus
  • Nodule classification
  • Nodule risk assessment
  • Pulmonary nodule detection
  • Radiomics analysis
  • Volume quantification
  • Whole lung 3d reconstruction

General Information

Product name

CT Image Analysis Software - CT Pulmonary Nodules 3D Analysis

Modality

CT

Main task

Detection

Subspeciality

Chest

Disease targeted

Lung nodule

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

Chest CT images

Input format

DICOM

Output

Lesion bounding box, table of quantified values, nodule risk assessment, lesion list, local VR, lung segment focus, whole lung 3D model, incisal expansion, graphic reports

Output format

Not specified

Integration

Integration in standard reading environment (PACS), Stand-alone third party application, 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

Use with caution in following clinically unvalidated cases: 1. Obvious respiratory artifacts, metal artifacts, and hardening artifacts. 2. Non-inspiratory phase imaging. 3. Image discontinuity.

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 22, 2025 | Last updated: May 11, 2026