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).

15/219 results

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Subspeciality: Chest
Modality: CT

Fibrotic area localization, classification, and distribution, lung and lobe segmentation, pneumonia ...

Lung Texture defines the fibrotic area of the lungs in 6 patterns and automatically generates a report by analyzing the location and distribution. Quantitative analysis help with difficult reading ...

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Subspeciality: MSK
Modality: CT, MR

Volume percentage, trabecular thickness, separation and fractal dimensions, and the Quality of a ...

Quibim has developed this suite to characterize the trabecular bone microarchitecture based on the analysis of 3D post-processed MRI or CT images. The solution provides bone volume percentage, ...

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Subspeciality: Neuro
Modality: CT

Brain pathology detection, hemorrhage detection, localization of pathology

BrainScan automatically detects 20 different brain pathologies on CT to aid prioritization of emergency patients.

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Subspeciality: Neuro
Modality: CT, MR

Identification of suspected stroke lesions, LVO and ICH detection, automatic motion correction

Cercare Stroke is an AI-powered imaging solution for brain CT and MRI. Stroke parametric maps are based on perfusion maps from previous stroke cases providing decision support in treatment selection ...

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Subspeciality: Chest
Modality: CT

Content-based image retrieval, pattern classification, lung anomaly detection, longitudinal nodule ...

contextflow ADVANCE Chest CT is a 3D image-based search engine (currently it looks for 19 disease patterns in lung CTs). It identifies and matches relevant, visually-similar disease patterns to aid ...

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Subspeciality: Chest
Modality: CT

Lung nodule detection, localization and volume quantification, malignancy score

The AI tool is capable of detecting lung nodules in CT scans. Classification (solid, partial solid, ground glass, calcification) and risk prediction (benign, malignant) on each nodule are provided.

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Subspeciality: Chest
Modality: CT

Pneunomonia score, quantification of affected volume

The AI tool is designed to detects pneumonia from the CT scan and provide the volume and occupation of lesions. Built-in is 3D VR and MPR calculation of lesions. The product also allows for ...

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Subspeciality: Chest
Modality: CT

Pneunomonia detection, report generation, COVID-19 alarm functionality

InferRead CT Pneumonia allows for screening of the COVID-19 detecting pneumonia in less than one minute. The main functionalities incorporate displaying the number of affected lung lobes, its degree ...

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Subspeciality: Chest
Modality: CT

Nodule detection and localization, nodule characterization, nodule quantification, segmentation and ...

LuCAS-plus can automatically detect and suggest nodules through its AI algorithm. The main aim of this solution is to carry out an automated and interconnected medical diagnostic process to minimize ...

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Subspeciality: Chest
Modality: CT

Emphysema %, emphysema volume and lung volume

Quibim has developed an automated suite with a patented algorithm that analyzes CT volume datasets to quantify different imaging biomarkers: lung and vessel volumes, low densities volumes and their ...

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Subspeciality: Chest
Modality: CT

Fibrotic condition identification, percentage of lung affected, volume quantification, report ...

Lung Texture Analysis ™ from Imbio automatically applies computer vision to transform a standard chest CT into a map of the lung textures to identify ILD’s and other fibrotic conditions (normal, ...

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Subspeciality: Neuro
Modality: CT
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Certification verified:
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Subspeciality: Chest
Modality: CT

Nodule malignancy similarity score

RevealAI™ is Computer Assisted Diagnostic (CADx) software that reveals patterns within images and across patients. The analytics generate scores for the current patient by comparing abnormalities to ...

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Subspeciality: Neuro, MSK, Abdomen, Breast
Modality: X-ray, CT, MR, PET, Ultrasound, SPECT

Quantification, Radiomics, imaging biomarker discovery

Quibim has developed the Texture Analysis to quantify features related to the heterogeneity of the tissues and obtain texture parameters.

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Subspeciality: Chest
Modality: CT

Nodule detection, Nodule measurement, Nodule classification, Lung-RADS reporting

It detects and quantifies pulmonary nodules, providing size, volume, nodule type, location, calcification, and spiculation. An automatic report based on the calculated Lung-RADS category is produced ...

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