Lung AI
ArterysProduct specifications |
Information source:
Vendor
Last updated: May 6, 2022 |
General | |
---|---|
Product name | Lung AI |
Company | Arterys |
Subspeciality | Chest |
Modality | CT |
Disease targeted | Lung cancer |
Key-features | Lung nodule detection, volume quantification, nodule tracking over time, Lung-RADS support, automatic reporting. |
Suggested use | During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand), report suggestion |
Data characteristics | |
Population | Screening population, cancer population |
Input | Chest CT study |
Input format | DICOM |
Output | 3D segmentation mask of lung nodule, volume longitudinal comparison table, Lung-RADS classification, automatic reporting. |
Output format | Radiology report, predication report. |
Technology | |
Integration | Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration CIS (Clinical Information System), Integration via AI marketplace or distribution platform, Stand-alone third party application, Stand-alone webbased |
Deployment | 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 | |
Certification | |
CE
|
Certified,
Class IIa
, MDR
|
FDA
|
510(k) cleared, Class II |
Market presence | |
On market since | 2013 |
Distribution channels | Arterys marketplace, Wellbeing Software’s AI Connect Marketplace, RMS Medical Devices |
Countries present (clinical, non-research use) | |
Paying clinical customers (institutes) | |
Research/test users (institutes) | |
Pricing | |
Pricing model | Pay-per-use, Subscription |
Based on | |
Evidence | |
Peer reviewed papers on performance | |
Non-peer reviewed papers on performance | |
Other relevant papers |