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).

16/181 results

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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

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: X-ray

pneumothorax detection, pleural effusion detection, worklist prioritization, notification

Zebra-Med’s Chest Solutions are a suite of radiological software that can provide multiple capabilities including triage, visualization of findings, and automatic separation between normal and ...

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Subspeciality: Chest
Modality: X-ray

Pneumothorax detection, on-device notifications, worklist prioritization, quality checks on ...

**Currently only available with GE Healthcare systems.** Critical Care Suite, powered by Edison, is a collection of AI algorithms for triage and quality control embedded on an X-ray system. The ...

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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

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: 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

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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Yes
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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

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

lung nodule detection

Riverain’s ClearRead CT Detect detects lung nodules in CT images.

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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: X-ray

bone suppression

ClearRead Bone Suppress removes ribs and clavicles from a standard chest X-ray, providing a soft tissue image, allowing clinicians to see more and detect more.

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Subspeciality: Chest
Modality: X-ray

multiple time-point analysis

ClearRead Compare is an image registration and enhancement application that accentuates interval change between current and prior chest X-ray exams by forming a subtraction image.

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Subspeciality: Chest
Modality: X-ray

line and tube identification

ClearRead XRay identifies and highlights lines and tubes on portable chest X-ray images. Radiologists can minimise imaging adjustments and decrease reading time.

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Subspeciality: Chest
Modality: X-ray

abnormality detection, explaining heatmaps, worklist prioritization

The red dot® algorithm is based on deep learning models. The training process teaches the algorithm to both classify a CXR and localize its findings. This localization is rendered through heatmaps ...

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Certification verified:
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