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).

89/219 results

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Subspeciality: Abdomen
Modality: Ultrasound

Classification of risk of having ovarian cancer

TRACE4OC provides the woman's level of risk (very low risk or medium-high risk) of being affected with ovarian cancer at the date of the TRACE4OC-processed USI investigation of an adnexal mass, ...

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 nodule detection, nodule type classification (solid, GGO etc.), pneumonia detection, key ...

SenseCare Lung CT automatically detects pulmonary nodules and pneumonia (including COVID-19) lesions and provides analysis such as lesion classification, risk evaluation, quantification, and ...

CE:
Class IIb - MDR
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FDA:
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Information source:
Vendor
Certification verified:
No
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Subspeciality: Chest
Modality: X-ray

Abnormal classification, abnormality detection, quantification analysis

SenseCare Chest X-ray solution helps doctors screen out suspected cases of various diseases from chest X-ray images. It automatically provides the location and analysis of lesions.

CE:
Class IIb - MDR
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FDA:
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Information source:
Vendor
Certification verified:
No
Subspeciality: Chest
Modality: X-ray

Flagging of 15 chest abnormalities

X1 is a medical device that uses deep learning to analyze chest x-rays, flagging those images that are suggestive of the presence of one or more of 15 pre-specified findings. It is PACS agnostic and ...

CE:
Class I - MDD
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FDA:
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Information source:
Public
Certification verified:
No
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Subspeciality: Neuro
Modality: MR

Brain tumor detection, segmentation and brain region localization, 3D reconstruction, structured ...

Assists in the detection, segmentation, differential diagnosis and localization of 22 types of intracranial tumors on MRI scans: chordoma, lymphoma, craniopharyngioma, choroid plexus, papilloma, ...

CE:
Class IIa - MDD
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FDA:
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Information source:
Vendor
Certification verified:
Yes
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Subspeciality: MSK, Chest
Modality: X-ray

Bone suppression, super zoom, anatomical W/L, anatomical ABC, anatomical exposure index

TIRESYA is the core of Digitec's products featuring artificial intelligence algorithms. TIRESYA’s properties and functions are applied across the following radiology products: - ERACLE - Digital ...

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

Images negativation, risk mapping, breast density.

Breast-SlimView is a clinical decision support solution for 2D/3D mammography. It has learnt to detect what is normal from a database of mammograms, then, based on this normalized database, it learns ...

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: CT

Nodule detection, Nodule measurement, Nodule classification, Lung-RADS reporting

It detects and quantifies pulmonary nodules, providing size, volume, nodule type, location, calcification, and spiculation. An automatic report based on the calculated Lung-RADS category is produced ...

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 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: 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: 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:
Logo
Information source:
Vendor
Certification verified:
Yes