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).

23/220 results

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Subspeciality: Neuro, Cardiac, MSK, Chest, Abdomen, Vascular Analysis
Modality: CT

Noise reduction of low dose CT

PixelShine is an algorithm for de-noising CT datasets supporting new CT protocols to drive patient dose down, while image quality is maintained. PixelShine may aid detectability of subtle pathologies ...

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Subspeciality: Chest
Modality: CT

Lung nodule detection, volume quantification, nodule tracking over time, Lung-RADS support, ...

Automatic detection of solid, part solid, and ground glass nodules. The user can add, edit, or delete detections with automatic updates to quantitative information. Lung AI supports Lung-RADS ...

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Subspeciality: Chest
Modality: CT

Content-based image retrieval, pattern classification, lung anomaly detection

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 lobe segmentation, Low Attenuation Analysis (LAA), Emphysema, Vessel Analysis, Fissure ...

AVIEW COPD gives COPD information based on a non-enhanced CT-scan of the thorax. Evaluation includes segmentation of lungs and lung lobes, low attenuation analysis, emphysema, vessel analysis, ...

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Subspeciality: Chest
Modality: CT

CAC score per branch, automatic segmentation, arterial age, Agatston, Volume, Mass score

Cononary Artery Calcium Scoring

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Subspeciality: Chest
Modality: CT

Nodule detection, nodule classification, nodule volume quantification, VDT, Lung-RADS score, ...

The LCS+ software from Coreline Soft provides information on the 3 main lung diseases: lung cancer, COPD and coronary artery calcification based on a Low Dose, non-enhanced, non-gated CT-scan

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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: Chest
Modality: CT

Lung density quantification, abnormal lung region mapping, report generation

Lung Density Analysis™ applies big data analysis to paired inspiratory / expiratory chest CT studies to provide visualization and quantification of lung regions with abnormal tissue density. ...

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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: Chest
Modality: CT

Lung nodule detection, report generation, multi-timepoint analysis

InferRead CT Lung is a processing solution for lung cancer screening. It recognizes the core features of lung cancer, determine the characteristics of suspected lung nodules in different image ...

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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, segmentation and quantification, temporal registration and nodule comparison, ...

Veolity is a reading platform dedicated to lung screening program. It combines lung CAD of solid pulmonary nodules, integration and automatic registration of prior studies and creates the associated ...

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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

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: Chest
Modality: CT

Multiple time-point analysis

Nodule tracking for differential measurements. Utilizing ClearRead CT Detect, ClearRead CT Compare tracks nodules and provides nodule volumetric changes over time for solid, part-solid, and ground ...

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Subspeciality: Chest
Modality: CT

Vessel suppression

Riverain’s ClearRead CT Vessel Suppress is powered by machine learning and advanced modeling and suppresses vascular structures. The vessel suppression algorithm works with contrast and non-contrast ...

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Subspeciality: Chest
Modality: CT

Lung nodule detection, automated measurements of nodule diameter, depth, 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 ...

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Subspeciality: Chest
Modality: CT

Segmentation and volume quantification of lungs, lung lobes, lung lesions, heart, thoracic aorta, ...

The AI-Rad Companion Chest CT solution offers a multiorgan approach with pulmonary, cardiovascular and musculoskeletal functionalities. Major functionalities: lung lobe segmentation, lung lesion ...

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Subspeciality: Chest
Modality: CT

Volume segmentation and quantification, volume density analysis, airway morphology , vascular ...

Thirona’s lung quantification software offers analysis of chest CT scans based on artificial intelligence, aiding in the detection, evaluation, and treatment planning of lung diseases. Analysis ...

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Subspeciality: Chest
Modality: CT

COVID-19 analysis, volume quantifications, affected area quantifications, severity scores

The CAD4COVID-CT software is based on deep learning technology to analyze Chest CT scans for abnormalities related to COVID-19. The software takes as input a Chest CT scan in dicom format. The input ...

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Subspeciality: Chest
Modality: CT

Lung disease biomarkers, lung (lobe) volume quantification, scan suitability quality check, ...

VIDA Insights™ is a lung intelligence solution providing quantitative data and visualizations. VIDA’s biomarkers measure lung destruction, inflammation, function and more, to aid the detection, ...

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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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