Radiology

DeepCT is an artificial intelligence based software which triages suspected intracranial hemorrhage cases from non-contrast CT (NCCT). The worklist prioritizes the suspected ICH cases and sends an ...

cNeuro cMRI is a tool for quantitative assessment of MRI brain images. Volumes of 133 brain structures, as well as disease specific biomarkers are extracted from T1 images and white matter ...

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.

ClearRead Bone Suppress removes ribs and clavicles from a standard chest X-ray, providing a soft tissue image, allowing clinicians to see more.

ClearRead Detect identifies regions-of-interest on the bone suppressed soft tissue image that may be early-stage lung cancer.

ClearRead XRay identifies and highlights lines and tubes on portable chest X-ray images.

LVivo AI Cardiac ultrasound analysis solutions provide objective cardiac ultrasound images analysis, aimed at mitigating the challenges of manually capturing and visually analyzing ultrasound images.

intelliMammo™ by Densitas Inc. is comprised of densitas densityai™, densitas qualityai™, and densitas riskai™, processes images automatically and generates results that are available on-demand both ...

Ligence has developed a platform for automated analysis and reporting of 2D transthoracic echocardiography studies. The Ligence Heart platform reads DICOM format data, recognises image views, heart ...

Aidoc’s brain aneurysm solution is a triage and notification software indicated for use in the analysis of CT images; flags and communicates suspected positive findings of brain aneurysm.

HepaFat-Scan is a non-invasive MRI-based solution for measuring the volume fraction of fat in liver tissue. HepaFat-Scan is provided as an image analysis service. HepaFat-Scan reports volumetric ...

FerriSmart is an automated system for measuring liver iron concentration (LIC). FerriSmart uses a specially trained convolutional neural network to analyse R2-MRI images to quantify the patient's LIC.