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ProductsuAI-Discover-Chest CT Lung Nodule Analysis

Vendor source

Reviewed 8 Oct 2026

Completeness Good (58%)

uAI-Discover-Chest CT Lung Nodule Analysis

United Imaging Intelligence

The CT Lung Nodule Analysis application is intended to detect and analyze suspicious lung nodules in chest CT images of adult patients. The application also provides tools to simultaneously display follow-up chest CT images and provide comparisons across different time points to assess the evolution of the lung nodules.

Supported by 1 paper

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

Modality

CT

Main task

Not specified

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

Technical Specifications

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

Population

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

Market Presence

On market since

Not specified

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, Subscription

Based on

Number of analyses, Number of installations, Number of users

Source: Vendor | First published: Apr 30, 2025 | Last updated: Oct 8, 2026