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Find the artificial intelligence based software for radiology that you are looking for. All products listed are available for the European market (CE marked).

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DeepHealth logo

Subspeciality: Neuro

Modality: MR

Source: Vendor

Brain structure segmentation and volume quantification, Comparison to reference population, Multiple time-point analysis, White matter hyperintensity detection and quantification

Brain Health (previously Saige Brain and Quantib® ND) offers automated segmentation of brain structures and white matter hyperintensities. This machine learning radiology application provides insight into the possible presence of atrophy related to Alzheimer's disease or other types of dementia. Brain Health's follow-up feature allows for tracking of neuro degeneration over time. Automatic assessment of white matter hyperintensity development supports monitoring of MS patients.The software distinguishes between new and previously identified WMHs, providing a visualization with color-coded lesions super positioned on an anatomical map.

GLEAMER logo

Subspeciality: MSK

Modality: X-ray

Source: Vendor

Detection of fractures, Dislocations and bone lesions, Effusions, Worklist prioritization

BoneView detects fractures, effusions, dislocations and bone lesions, and gives 3 different pre-diagnosis labels on the images: - POSITIVE when the confidence for the presence of a lesion is above 90% (plain bounding box around the region of interest) - DOUBT when the confidence for the presence of a lesion is between 50% and 90% (dotted bounding box around the region of interest) - NEGATIVE otherwise BoneView provides a summary table for quality check and overview of AI outputs at a glance, and can perform worklist prioritization according to the different pre-diagnoses. *In the United States, BoneView has been 510k FDA-cleared for pediatric use and adults (>2 years old for limbs).

Hevi AI logo

Subspeciality: Neuro

Modality: CT

Source: Vendor

Intracranial hemorrhage detection, Volume quantification

hStroke_Suite CT Module is an AI-powered solution specifically designed for emergency neuroimaging with a focus on head CT scans. It enables rapid and accurate detection of intracranial hemorrhages, aiming to support faster diagnosis and timely intervention.

Koios Medical, Inc. logo

Subspeciality: Breast, Thyroid

Modality: Ultrasound

Source: Vendor

AI independent risk assessment, Alignment to diagnostic classification systems, Auto-population of lesion/nodule descriptors, Lesion/nodule classification, Lesion/nodule segmentation

Koios DS is a software application designed to assist trained interpreting physicians in analyzing breast and thyroid ultrasound images. Koios DS software automatically classifies breast lesions suspicious for cancer based on image data into one of four ACR BI-RADS or European U1-U5 Classification System-aligned categories. Koios DS also categorizes thyroid nodules via the ACR TI-RADS or American Thyroid Association (ATA) risk stratification systems (RSSs) along with a cancer risk assessment presented as the Koios "AI Adapter."

RapidAI logo

Subspeciality: Neuro

Modality: CT

Source: Public

No key features available

No description available

Spimed-AI

Subspeciality: Cardiac

Modality: CT

Source: Vendor

Confidence score, FFR-AI prediction per coronary, Risk prioritization, Stenosis classification according to CAD-RADS

CorEx is artificial intelligence software for cardiac imaging. It prioritizes at-risk patients. It automatically analyzes coronary CT images (CCTA) images independently detecting and classifying coronary lesions quantitatively. CorEx automatically classifies stenosis according to the international CAD-RADS classification. CorEx aids the assessment of artery damage and the severity of the obstruction. It also provides an FFR AI prediction: for each coronary the solution predicts if the threshold of 80% is reached or not.

VUNO logo

Subspeciality: Neuro

Modality: MR

Source: Vendor

Brain parcellation

It parcellates the brain into 100+ parts using 3D T1 non-contrast MRI and provides quantitative data describing volume, normative percentiles, and cortical thickness with color overlays. The solution assists the diagnosis of neurodegenerative disorders by analyzing the atrophy of main brain structures.

GLEAMER logo

Subspeciality: MSK

Modality: X-ray

Source: Vendor

And legs, Automated measurements of spine, Feet, Pelvis

BoneMetrics provides automated MSK measurements for the spine, pelvis, feet, shoulder, knee and legs, on X-ray and EOS acquisitions.

Riverain Technologies logo

Subspeciality: Chest

Modality: CT

Source: Vendor

Automated measurements of nodule diameter, Depth, Lung nodule detection, Volume

Riverain's CT Detect technology provides measurements for each detected region of interest including location, type, volume, maximum, minimum, average axial plane diameters, and nodule depth. All nodule types are detected (solid, part-solid, ground glass) at or above 5mm.

United Imaging Intelligence logo

Subspeciality: Cardiac

Modality: CT

Source: Vendor

Coronary lesion detection, Pericoronary fat measurement, Plaque analysis, Plaque detection, Reconstructed images (MPR/VR/MIP/Probe/CPR/SCPR), Segmentation and 3D reconstruction of heart and coronary arteries, Stenosis detection, Stenosis evaluation

The CT CCTA application is intended to assist in confirming and evaluating the presence or absence of coronary lesions for CCTA images.

HeartFlow logo

Subspeciality: Cardiac

Modality: CT

Source: Vendor

FFRCT values along coronary vessels

The HeartFlow Analysis is a coronary physiologic simulation software for the clinical quantitative and qualitative analysis of previously acquired Computed Tomography DICOM data for clinically stable symptomatic patients with coronary artery disease. It provides the calculations of FFRCT, a mathematically derived quantity, computed from simulated pressure, velocity and blood flow information obtained from a 3D computer model generated from static coronary CT images. The HeartFlow Analysis is intended to support the functional evaluation of coronary artery disease.

DeepHealth logo

Subspeciality: Chest

Modality: CT

Source: Vendor

Growth calculation (prior study retrieval), Nodule classification, Nodule detection, Volume quantification

This AI assistant supports radiologists with detecting, classifying and tracking the growth of pulmonary nodules. DeepHealth Lung Check (previously Saige Lung and Veye Lung Nodules by Aidence) integrates into the PACS and is currently in use across Europe in both routine clinical practice and lung cancer screening programs.