| Product specifications |
Information source:
Vendor
Last updated: March 25, 2023 |
| 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 IIb
, MDR
|
|
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 | |