Key Features

  • Lung nodule malignancy prediction of user-selected ROI
  • Nodule volumetrics

General Information

Product name

Virtual Nodule Clinic

Company

Subspeciality

Chest

Modality

CT

Disease targeted

Lung cancer

Main task

Not specified

Technical Specifications

Population

Incidentally detected solid and semi-solid pulmonary nodules of diameter 5-30mm in patients aged 35 years or above (not indicated for screening)

Patient population age

Not specified

Input

Non enhanced CT

Input format

Not specified

Output

Not specified

Output format

Not specified

Integration

Not specified

Deployment

Not specified

Trigger for analysis

Not specified

Processing time

Not specified

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Not verified by Health AI Register
FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

Not specified

AI Platforms

TeraRecon

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Not specified

Based on

Not specified

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Clinical utility of an artificial intelligence radiomics-based tool for risk stratification of pulmonary nodules

Source: public | First published: Oct 7, 2024 | Last updated: Jul 9, 2025