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).

6/219 results

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Subspeciality: Abdomen
Modality: MR

ADC map, Ktrans map, k ep parametric map, v e parametric map, prostate volume, Arterial Input ...

QP-Prostate is a medical imaging software that aids the analysis of Prostate MRI. It is a modular platform based on a plug-in software architecture that provides the clinician quantitative ...

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Subspeciality: Neuro
Modality: MR

Segmentation of brain regions, quantification of brain volume and white/gray matter (global and ...

mdbrain enables AI-powered evaluations of brain MRIs. Currently available modules are Brain Volumetry, Lesion Characterization, Aneurysm Detection, and Tumor Differentiation. As output radiologists ...

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Subspeciality: Abdomen
Modality: MR

Automated segmentation of the prostate with volume calculation, detection and evaluation of ...

mdprostate enables AI-based evaluation of prostate MRIs through automatic identification and classification of lesions according to PI-RADS 2.1. The output includes comprehensive quantitative reports ...

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Subspeciality: Abdomen
Modality: MR

Prostate gland segmentation and volumetric assessment, lesion candidate localization and ...

AI-Rad Companion Prostate MR (VA40) supports prostate MRI reading and reporting. By deploying artificial intelligence, the products assists in the interpretation of multiparametric Prostate MRI. The ...

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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, Saige Prostate (previously Quantib® Prostate), provides a workflow for detection of abnormalities on MRI prostate scans.

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Subspeciality: Abdomen
Modality: MR

AI- supported prostate segmentation and volume, lesion segmentation, volumes and risk scores, ...

Prostate Intelligence software intended to assist analysis of MRI for suspected prostate cancer. It uses a combination of image processing, deep learning and machine learning methods, to segment the ...

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