qXR-BT
Qure.aiProduct specifications |
Information source:
Vendor
Last updated: April 19, 2023 |
General | |
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Product name | qXR-BT |
Company | Qure.ai |
Subspeciality | Chest |
Modality | X-ray |
Disease targeted | Endotracheal tube detection |
Key-features | Endotracheal tube detection |
Suggested use | Before: flagging acute findings During: perception aid (prompting all abnormalities/results/heatmaps), report suggestion |
Data characteristics | |
Population | All chest X-rays |
Input | PA/ AP view chest X-rays |
Input format | DICOM |
Output | Secondary image with markers and lables, a report with preview image and table in pdf |
Output format | DICOM, pdf |
Technology | |
Integration | Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), 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 | 10 - 60 seconds |
Certification | |
CE
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No or not yet,
Not certified
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FDA
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510(k) cleared, Class II |
Market presence | |
On market since | 12-2021 |
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 |