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).

8/188 results

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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

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

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

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: 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

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