ChestEye Quality
OxipitProduct specifications |
Information source:
Vendor
Last updated: Feb. 1, 2022 |
General | |
---|---|
Product name | ChestEye Quality |
Company | Oxipit |
Subspeciality | Chest |
Modality | X-ray |
Disease targeted | Algorithms supports 75 different pathologies |
Key-features | Quality assurance, identifying missed clinical significant findings |
Suggested use | After: diagnosis verification |
Data characteristics | |
Population | Patients over 18 years old |
Input | PA or PA + LAT Digital Chest X Ray |
Input format | DICOM |
Output | List of possible False Negatives made by radiologists |
Output format | DICOM SR or HL7 message |
Technology | |
Integration | Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform |
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 | 3 - 10 seconds |
Certification | |
CE
|
Certified,
Class IIa
, MDD
|
FDA
|
No or not yet |
Market presence | |
On market since | 09-2021 |
Distribution channels | |
Countries present (clinical, non-research use) | 9 |
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 |