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).

23/185 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: MSK
Modality: X-ray

Volume percentage, trabecular thickness, separation and fractal dimensions, and the Quality of a ...

Quibim has developed this suite to characterize the trabecular bone microarchitecture from post-processed X-ray images. The tool provides bone volume percentage, trabecular thickness, separation and ...

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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: MSK
Modality: X-ray

detection of fractures, effusions, dislocations and bone lesions, worklist prioritization

BoneView is an AI Companion for lesion detection on Bone X-Rays. BoneView can detect fractures, effusions, dislocations and bone lesions, and gives 3 different pre-diagnosis labels on the images: - ...

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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

triage, detection and localization of pneumothorax, pleural effusion, alveolar syndrome, nodule, ...

ChestView detects and localizes lesions on Chest X-Rays. It is designed to assist radiologists and clinicians in triaging cases and increasing diagnostic performances by highlighting regions of ...

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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: 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: 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: 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
Modality: X-ray

Trabecular Bone Score (TBS) calculation, fracture risk assessment (BMD T-score & FRAX adjusted with ...

TBS iNsight (Osteo) is a product by Medimaps Group that predicts a patient’s risk for bone fracture to aid therapy decision and patient management. TBS iNsight (Osteo) is aimed at the departments of ...

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Subspeciality: Neuro, MSK, Abdomen, Breast
Modality: X-ray, CT, MR, PET, Ultrasound, SPECT

Quantification, Radiomics, imaging biomarker discovery

Quibim has developed the Texture Analysis to quantify features related to the heterogeneity of the tissues and obtain texture parameters.

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Subspeciality: MSK
Modality: X-ray

Bone age assessment, Automatic report generation

It assists bone age assessment based on a child’s hand X-ray image. A customized report of bone age assessment is automatically generated.

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Yes
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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: 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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Certification verified:
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Subspeciality: Chest
Modality: X-ray
Information source:
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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Certification verified:
No