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).

25/174 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

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

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: 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

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: 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

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

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: 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: 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: 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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Subspeciality: Chest
Modality: X-ray
Information source:
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