Riverain Technologies
Riverain Technologies™ is a medical software innovator that develops solutions to aid radiologists in the early detection of disease. With the use of Riverain’s ClearRead X-ray Suite and ClearRead CT, radiologists are able to optimize the use of existing equipment for enhanced image interpretation. This enables radiologists to better utilize their diagnostic expertise in image interpretation for identification of diseases, such as lung cancer.
Company specifications
| General | |
|---|---|
| Company name | Riverain Technologies |
| Founded | 2004 |
| Head office | Miamisburg, United States |
| Website | https://www.riveraintech.com/ |
| Contact | support@riveraintech.com |
Products by this company
Modality: CT
multiple time-point analysis
Nodule tracking for differential measurements. Utilizing ClearRead CT Detect, ClearRead CT Compare tracks nodules and provides nodule volumetric changes over time for solid, part-solid, and ground ...
Modality: CT
lung nodule detection
Riverain’s ClearRead CT Detect detects lung nodules in CT images.
Modality: CT
vessel suppression
Riverain’s ClearRead CT Vessel Suppress is powered by machine learning and advanced modeling and suppresses vascular structures. The vessel suppression algorithm works with contrast and non-contrast ...
Modality: X-ray
bone suppression
ClearRead Bone Suppress removes ribs and clavicles from a standard chest X-ray, providing a soft tissue image, allowing clinicians to see more and detect more.
Modality: X-ray
multiple time-point analysis
ClearRead Compare is an image registration and enhancement application that accentuates interval change between current and prior chest X-ray exams by forming a subtraction image.
Modality: X-ray
line and tube identification
ClearRead XRay identifies and highlights lines and tubes on portable chest X-ray images. Radiologists can minimise imaging adjustments and decrease reading time.
Modality: X-ray
lung nodule detection
ClearRead Detect identifies regions-of-interest on the bone suppressed soft tissue image that may be early-stage lung cancer.