Radiology

Find the artificial intelligence based software for radiology that you are looking for.
All products listed are available for the European market (CE marked).

214/214 results

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Subspeciality: Abdomen
Modality: MR

Prostate cancer detection

JPC-01K is an AI medical system that detects the area of prostate cancer using multiparametric MR images. The system is based on artificial neural networks to analyze the MR images of the prostate ...

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

CE:
Class I - MDD
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FDA:
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Information source:
Vendor
Certification verified:
Yes
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Subspeciality: Breast
Modality: Mammography

Breast mass detection, micro-calcification detection, report generation

JBD-01K is a software that provides the presence and location of breast tumors and microcalcifications through AI-based analysis of Mammography images obtained from examinee. This product works in ...

CE:
Class I - MDD
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FDA:
Logo
Information source:
Vendor
Certification verified:
Yes
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Subspeciality: Neuro
Modality: MR

Cortical area segmentation, cortical thickness quantification, brain aging status, normal comparison

JAD-02K is an AI system that classifies the gray matter and calculates the cortical thickness using patient’s MRI. This system, which is based on 3D convolution neural network technology, classifies ...

CE:
Class I - MDD
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FDA:
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Information source:
Vendor
Certification verified:
Yes
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Subspeciality: Neuro
Modality: MR

Cerebral aneurysm detection

JBA-01K is an AI system that diagnoses whether or not a cerebral aneurysm exists using patient’s MR angiography. This system, which is based on 3D convolution neural network technology, detects ...

CE:
Class I - MDD
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FDA:
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Information source:
Vendor
Certification verified:
Yes
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Subspeciality: Neuro
Modality: CT

Intracranial hemorrhage detection

JBS-04K is an AI medical system that diagnoses hemorrhagic stroke using the patient’s CT images. This system analyzes CT images and then performs hemorrhagic lesion detection using 3D-based ...

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

CE:
Class I - MDD
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FDA:
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Information source:
Vendor
Certification verified:
Yes
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Subspeciality: Neuro
Modality: MR

Lesion detection, ischemic stroke subclassification

JBS-01K is an AI medical system that diagnoses a subtype of ischemic stroke using patient’s MR image and atrial fibrillation (AF) information. This system performs lesion detection and TOAST (Trial ...

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

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

CE:
Class IIa - MDD
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FDA:
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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
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Subspeciality: Chest
Modality: CT

Volume segmentation and quantification, volume density analysis, airway morphology , vascular ...

Thirona’s lung quantification software offers analysis of chest CT scans based on artificial intelligence, aiding in the detection, evaluation, and treatment planning of lung diseases. Analysis ...

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