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).

47/181 results

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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

Detection of 124 chest findings, worklist triage

Annalise CXR is an AI clinical decision-support solution for chest X-ray, assisting clinicians to interpret CXR studies by detecting 124 findings. It acts as a second pair of eyes providing ...

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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, Abdomen
Modality: CT

Aortic dissection triage, aortic dissection detection

CINA-AD is a radiological computer aided triage and notification software indicated for use in the analysis of chest and thoraco-abdominal CT angiographies. The device is intended to assist hospital ...

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Subspeciality: Chest
Modality: CT

pulmonary embolism detection, pulmonary embolism triage

CINA-PE is a radiological computer aided triage and notification software indicated for use in the analysis of chest and thoraco-abdominal CT angiographies. The device is intended to assist hospital ...

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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

Quantification of lung involvement, total and lobular, lesion classification

icolung is a cloud-based AI software to quantify the degree of lung involvement in COVID-19 patients. CE cleared, in the US available for clinical use during public health emergency related to ...

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Subspeciality: Chest
Modality: CT

Triage tool, workflow improvement

Aidoc’s Incidental Pulmonary Embolism algorithm is a triage and notification software that flags and communicates suspected positive findings of pulmonary embolism and runs automatically on contrast ...

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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

lung nodules detection and quantification, LungRADs categorization, Vancouver Risk calculator, ...

JLD-01K is based on the Convolutional Neural Network (CNN), a type of deep learning model, that detects nodules in pulmonary CT images. Measure the diameter and volume of the nodules found, proceed ...

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Subspeciality: Chest
Modality: X-ray

abnormality detection and localization of 15 lung diseases

JLD-02K is an AI medical system that diagnoses lung diseases using simple chest X-ray images and clinical information. This system is based on a hybrid artificial neural network technology for lesion ...

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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: Chest
Modality: X-ray

Radiologic finding detection, abnormality score, text interpretation

Lunit INSIGHT CXR is deep learning based software that assists radiologists or clinicians in the interpretation of chest x-ray (PA/AP). The AI solution automatically detects 10 radiologic findings ...

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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

Triage tool, workflow improvement

Aidoc’s pneumothorax solution is a triage and notification software indicated for use in the analysis of chest radiograph images; flags and communicates suspected positive findings of pneumothorax.

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Subspeciality: Chest
Modality: CT

Triage tool, workflow improvement

Aidoc’s Pulmonary Embolism solution is a triage and notification software indicated for use in the analysis of CTPA images; flags and communicates Pulmonary Embolism (PE).

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Subspeciality: Chest
Modality: CT

Triage tool, workflow improvement

Aidoc’s pulmonary nodules solution is a triage and notification software indicated for use in the analysis of CT images; flags and communicates suspected positive findings of pulmonary nodules.

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Subspeciality: Chest
Modality: CT

Lung nodule detection, emphysema detection

qCT-Lung aids lung cancer screening programs and facilitates opportunistic screening using AI. It provides pre-read assistance to clinicians by detecting lung nodules & emphysema.

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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: MSK, Chest
Modality: X-ray

bone suppression, super zoom, anatomical W/L, anatomical ABC, anatomical exposure index

TIRESYA is the core of Digitec's products featuring artificial intelligence algorithms. TIRESYA’s properties and functions are applied across the following radiology products: - ERACLE - Digital ...

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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

flagging of 15 chest abnormalities

X1 is a medical device that uses deep learning to analyze chest x-rays, flagging those images that are suggestive of the presence of one or more of 15 pre-specified findings. It is PACS agnostic and ...

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Public
Certification verified:
No
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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