Key Features

  • Benign-maligant prediction
  • Follow-up analysis
  • Graphic diagnostic reports
  • Lung-RADS category
  • Nodule classification
  • Nodule localization
  • Nodule risk assessment
  • Nodule sign
  • Pulmonary nodule detection
  • Radiomics analysis
  • Volume quantification

General Information

Product name

uAI-Discover-Chest CT Lung Nodule Analysis

Subspeciality

Chest

Modality

CT

Disease targeted

Lung nodules

Main task

Not specified

Technical Specifications

Population

Adult patients ≥40._x000D_ The software has not been validated for chest CTs with the following conditions and should be used with caution:_x000D_ 1. Poor image quality (e.g., motion, metal artifacts)._x000D_ 2. Large-scale lung abnormalities (e.g., large-scale pneumothorax, lung contusion, lung laceration due to surgery or chest trauma)_x000D_ 3. Thoracic deformities.

Patient population age

Not specified

Input

Chest CT

Input format

DICOM

Output

Lesion bounding box, table of quantified values, nodule risk assessment, lesion list, draft radiology report, graphic reports

Output format

Not specified

Integration

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

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

Not specified

AI Platforms

Not specified

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

Evidence & Research

No research papers or evidence available for this product.

Source: vendor | First published: Apr 30, 2025 | Last updated: Jul 9, 2025