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).

12/214 results

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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: - ...

CE:
Class IIa - MDR
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FDA:
Class II
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Information source:
Vendor
Certification verified:
No
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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 ...

CE:
Class IIa - MDR
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FDA:
Class II
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Information source:
Vendor
Certification verified:
Yes
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Subspeciality: MSK
Modality: X-ray

Fracture detection

AZmed has developed Rayvolve, an AI software that detects bone lesions on standard radiographs. Rayvolve is a SaaS product and is integrated into the radiologist's workflow.

CE:
Class IIa - MDR
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FDA:
Class II
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Information source:
Vendor
Certification verified:
Yes
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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 ...

CE:
Class IIa - MDR
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FDA:
Class II
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Information source:
Vendor
Certification verified:
Yes
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Subspeciality: Chest
Modality: X-ray

Lung nodule detection of nodules of 9 to 30 mm in size

ClearRead Detect identifies regions-of-interest on the bone suppressed soft tissue image that may be early-stage lung cancer.

CE:
Class IIa - MDR
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FDA:
Class II
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Information source:
Vendor
Certification verified:
Yes
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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.

CE:
Class IIa - MDR
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FDA:
Class II
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Information source:
Vendor
Certification verified:
Yes
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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.

CE:
Class IIa - MDR
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FDA:
Class II
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Information source:
Vendor
Certification verified:
Yes
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Subspeciality: Chest
Modality: X-ray

Improved visibility of lines and tubes

ClearRead XRay identifies and highlights lines and tubes on portable chest X-ray images.

CE:
Class IIa - MDR
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FDA:
Class II
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Information source:
Vendor
Certification verified:
Yes
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Subspeciality: MSK
Modality: X-ray

Joint space narrowing, osteophytes, osteoarthritis grading

RBknee can automatically detect findings relevant for radiographic osteoarthritis, and provide a secondary capture and a structured text report with findings and conclusion.

CE:
Class IIa - MDR
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FDA:
Class II
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Information source:
Vendor
Certification verified:
Yes
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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 ...

CE:
Class IIa - MDD
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FDA:
Class II
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Information source:
Vendor
Certification verified:
Yes
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.

CE:
Class IIa - MDD
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FDA:
Class II
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Information source:
Vendor
Certification verified:
Yes
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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 ...

CE:
Class IIa - MDD
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FDA:
Class II
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Information source:
Public
Certification verified:
No