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.
Product specifications Information source: Vendor
Last updated: Aug. 19, 2021
General
Product name qCT-Lung
Company Qure.ai
Subspeciality Chest
Modality CT
Disease targeted Lung cancer, emphysema
Key-features Lung nodule detection, emphysema detection
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps)
Data characteristics
Population Chest CTs for adults (age >= 18 years)
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
Technology
Integration Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone webbased
Deployment Locally on dedicated hardware, Locally virtualized (virtual machine, docker), Cloud-based
Trigger for analysis Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time 1 - 10 minutes
Certification
CE
Certified, Class I , MDD
FDA
No or not yet
Market presence
On market since 08-2021
Distribution channels
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model Pay-per-use, Subscription
Based on Number of installations, Number of analyses
Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers