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).

39/180 results

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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: X-ray

Identifying and highlighting findings, atelectasis, pleural effusion, pulmonary lesions, ...

The AI-Rad Companion Chest X-ray automatically characterizes radiographic findings for a valid chest scan in the lung and pleura. It works like a second or third reader to support radiologists in ...

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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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Subspeciality: Chest
Modality: CT

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

contextflow SEARCH Lung 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 in ...

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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

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: MSK, Chest
Modality: X-ray

abnormality detection and localization

Arterys Chest | MSK AI proivides AI-powered detection and rule out support for emergency radiographs. It is able to detect fracture, dislocation, elbow joint effusion, pleural effusion, pulmonary ...

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Subspeciality: Chest
Modality: X-ray

lung nodule detection

**Only available with Samsung Electronics systems.** For Auto Lung Nodule Detection multiple deep learning algorithms help predict lung nodule in general chest radiography as a second reader.

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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: 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: X-ray

Pathology quantification, risk scores, heatmap of abnormalities

To detect COVID-19 related abnormalities in frontal chest X-rays, Thirona developed CAD4COVID-XRay. This computer-aided detection software takes a single chest X-ray as its input, in the form of a ...

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Subspeciality: Chest
Modality: X-ray

healthy patients report generation

ChestEye CAD is a fully automatic computer-aided diagnosis (CAD) chest X-ray solution. It identifies chest X-ray images with no abnormality and produces preliminary reports (imagine in, report out). ...

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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

Abonormal probability %, work list triage

Quibim’s Chest X-ray Classifier aims to help radiologists deal with the large volumes of chest radiographs by prioritizing potentially pathological cases. This AI-fueled app is able to automatically ...

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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

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: X-ray

abnormality detection

InferRead DR Chest aims to detect diverse pathologies in a single X-Ray image. It is able to detect 14 different pathologies including pneumonia, tuberculosis, fracture, nodules, pleural effusion or ...

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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

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: MSK, Chest
Modality: X-ray

pre-diagnosis of x-ray image, worklist prioritization

Milvue Suite is a software that uses artificial intelligence algorithms to provide preliminary data to help for medical imaging diagnosis, tasks automation and workflow.

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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: X-ray

Abnormality detection and localization, report generation, tuberculosis screening, worklist ...

qXR detects abnormal chest X-rays, then identifies and localizes upto 29 common abnormalities. It also screens for tuberculosis.

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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

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: X-ray

Abnormality detection

VUNO Med® Chest X-Ray™ is a deep learning-based screening solution for five major lung diseases - Nodule/Mass, Consolidation, Interstitial Opacity, Pneumothorax, Pleural Effusion - on chest X-ray ...

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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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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

lung nodule detection

ClearRead Detect identifies regions-of-interest on the bone suppressed soft tissue image that may be early-stage lung cancer.

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Subspeciality: Chest
Modality: X-ray
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Public
Certification verified:
No
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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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Public
Certification verified:
No
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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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Public
Certification verified:
No