Products

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

12/202 results

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Subspeciality: Chest
Modality: CT

Nodule detection, nodule classification, volume quantification, growth calculation (prior study ...

This AI assistant supports radiologists with detecting, classifying and tracking the growth of pulmonary nodules. Veye Lung Nodules integrates into the PACS and is currently in use across Europe in ...

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Subspeciality: Abdomen
Modality: MR

Prostate segmentation and volume estimation, aided annotation of lesion, calculation of PSA ...

AI-Rad Companion Prostate MR aims to aid the MR/US fusion for biopsy workflow by automatically segmenting the prostate and performing volumetry of the prostate gland. The segmentation of the prostate ...

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Yes
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Subspeciality: Cardiac
Modality: Ultrasound

Automated measurements include 2-dimensional (cardiac volumes, all 4 chambers of the heart), M-mode ...

Us2.ai supports cardiovascular disease diagnostics by providing machine learning based solutions that analyze and interpret echocardiograms, which are ultrasound images of the heart, creating patient ...

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Yes
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Subspeciality: Chest
Modality: X-ray

Detection of 124 chest findings, worklist triage

Annalise CXR is an AI clinical decision-support solution for chest X-ray, assisting clinicians to interpret CXR studies by detecting 124 findings. It acts as a second pair of eyes providing ...

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Subspeciality: Breast
Modality: Mammography

Triaging normal exams, safety net, report generation, AI-based workflow

Vara's Decision Referral Pathway ensures that each mammogram is analysed by AI and classified into one of three categories: "normal" (AI is confident there are no suspicious signs), "no ...

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Certification verified:
Yes
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Subspeciality: Chest
Modality: X-ray

tuberculosis risk score, heatmap of abnormality score

To detect tuberculosis-related abnormalities in posterior anterior chest X-rays, Thirona developed CAD4TB™. This computer-aided detection software takes a single chest X-ray as its input, in the form ...

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Certification verified:
Yes
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Subspeciality: Abdomen
Modality: MR

Prostate gland and zone volume measurements, PSA density calculation, AI-supported ROI ...

The artificial intelligence-based software, Quantib® Prostate, provides a workflow for detection of abnormalities on MRI prostate scans.

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Certification verified:
Yes
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Subspeciality: Breast
Modality: Mammography

Detection Aid, Region Analysis, Exam Score, Risk score

Transpara provides decision support during reading of 2D Full-Field Digital Mammography (FFDM) and 3D Digital Breast Tomosynthetis (DBT) to help improve clinical accuracy, reduce workload and ...

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Certification verified:
Yes
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Subspeciality: Chest
Modality: X-ray

Autonomous healthy patients report generation

ChestLink is the first fully autonomous AI medical imaging product with a CE mark. ChestLink identifies CXRs with no abnormality and produces finalized patient reports without any intervention from ...

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Certification verified:
Yes
Subspeciality: Chest
Modality: CT

Lung nodule malignancy prediction of user-selected ROI, nodule volumetrics

Virtual Nodule Clinic is an AI-powered clinical decision support software that helps clinicians identify and track at-risk patients who present suspicious lung nodules which may or may not be ...

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Public
Certification verified:
No
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Subspeciality: Chest
Modality: CT

Lung nodule detection, nodule type classification (solid, GGO etc.), pneumonia detection, key ...

SenseCare Lung CT automatically detects pulmonary nodules and pneumonia (including COVID-19) lesions and provides analysis such as lesion classification, risk evaluation, quantification, and ...

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Subspeciality: Chest
Modality: X-ray

Abnormal classification, abnormality detection, quantification analysis

SenseCare Chest X-ray solution helps doctors screen out suspected cases of various diseases from chest X-ray images. It automatically provides the location and analysis of lesions.

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Certification verified:
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