Vendor source

Reviewed 28 May 2026

Completeness Strong (67%)

qCT-Lung

Qure.ai

qCT-Lung aids lung cancer screening programs and facilitates opportunistic screening using AI. It provides pre-read assistance to clinicians by detecting lung nodules & emphysema.

Supported by 2 papers

qCT-Lung thumbnail 1
qCT-Lung thumbnail 2

Key Features

  • Emphysema detection
  • Lung nodule detection

General Information

Product name

qCT-Lung

Company

Modality

CT

Main task

Not specified

Subspeciality

Chest

Disease targeted

Lung cancer, emphysema

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Verified by Health AI Register

Other certifications

Not specified

Technical Specifications

Patient population age

Not specified

Input

Non-contrast chest CTs, consistently spaced axial slices, soft reconstruction kernel, maximum slice thickness of 6 mm, minimum of 40 axial slices

Input format

DICOM

Output

Image annotation overlay

Output format

DICOM secondary capture, PDF

Integration

Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone webbased

Deployment

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

Trigger for analysis

Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload

Processing time

1 - 10 minutes

Population

Chest CTs for adults (age >= 18 years)

Market Presence

On market since

08-2021

AI Platforms

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of analyses, Number of installations

Source: Vendor | First published: Sep 4, 2024 | Last updated: May 28, 2026

qCT-Lung - Qure.ai