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).

10/218 results

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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

Quality assurance, identifying missed clinical significant findings

ChestEye Quality is an automatic Quality Assurance (QA) chest X-ray solution. It automatically double-reads all chest x-rays, by analyzing radiologists' reports and comparing them with AI analysis of ...

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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: X-ray

TB screening with large population

This AI tool is designed to support radiologists in diagnosing tuberculosis from X-ray chest scans. It features automatic batch operation for efficient processing, identifies the affected regions by ...

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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, Delft Imaging and Thirona developed CAD4COVID-XRay. This computer-aided detection software takes a single chest X-ray as its input, ...

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Subspeciality: Chest
Modality: X-ray

Endotracheal tube tip to carina measurement, detection and flagging of pneumothorax and ...

**Currently only available with GE Healthcare systems.** Critical Care Suite, powered by Edison, is a collection of AI algorithms for automated measurements, triage and quality control embedded on ...

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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: X-ray
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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

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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