Lung Check (Veye Lung Nodules)

Key Features

  • Growth calculation (prior study retrieval)
  • Nodule classification
  • Nodule detection
  • Volume quantification

General Information

Product name

Lung Check (Veye Lung Nodules)

Company

Subspeciality

Chest

Modality

CT

Disease targeted

Lung cancer

Main task

Not specified

Technical Specifications

Population

Not specified

Patient population age

Not specified

Input

low or standard dose CT scans, maximum axial slice thickness of 3mm, non-contrast or post-contrast, multi-slice

Input format

DICOM

Output

Image annotations, grayscale presentation state (GSPS), burn-in series, table of quantified values

Output format

DICOM, PDF

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform

Deployment

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

Trigger for analysis

Automatically, Right after the image acquisition

Processing time

1 - 10 minutes

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

12-2017

AI Platforms

Blackford Analysis, Deepc, Incepto, Nuance, Sectra

Resellers

Inobe, Nordic Medtech

Countries present

7

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Pay-per-use

Based on

Number of scans analysed

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Performance of AI for preoperative CT assessment of lung metastases: Retrospective analysis of 167 patients

Peer-Reviewed

View

Higher agreement between readers with deep learning CAD software for reporting pulmonary nodules on CT

Peer-Reviewed

View

Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population

Peer-Reviewed

View

Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital

Peer-Reviewed

View

Effect of CT reconstruction settings on the performance of a deep learning based lung nodule CAD system

Source: vendor | First published: Sep 4, 2024 | Last updated: Jul 9, 2025