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).

6/188 results

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Subspeciality: Breast
Modality: Mammography

breast cancer detection, abnormality score

Lunit INSIGHT MMG is deep learning based software that assists radiologists in the interpretation of mammograms. The AI solution automatically detects suspicious areas for breast cancer on mammograms ...

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Subspeciality: Breast
Modality: Mammography

Lesion detection and characterization, level-of-suspicion score

MammoScreen helps radiologists to identify findings on screening mammograms and assess their level of suspicion. MammoScreen™ uses the MammoScreen Score™ to provide a level-of-suspicion scoring of ...

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Subspeciality: Breast
Modality: Mammography

exam suspicion score, worklist prioritization

An automatic AI tool that indicates ‘suspicious’ or ‘not suspicious’ for every 2D mammography performed (that matches the criteria, e.g. no previous cancer, no implants etc.)

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Subspeciality: Breast
Modality: Mammography

malignancy detection, calcification detection, certainty scoring, case scoring

The concurrent-read, cancer detection and workflow solution from iCAD analyzes each tomosynthesis image, detecting both malignant soft tissue densities and calcifications. Built on deep-learning and ...

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Yes
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Subspeciality: Breast
Modality: Mammography

Perception Aid, Region Analysis, Exam Score, Risk score

Transpara is a product for mammography reading. Algorithms in Transpara® use image analysis and deep learning technology. Key features of Transpara are: Decision support for suspicious areas, CAD, ...

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Yes
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Subspeciality: Breast
Modality: Mammography

breast density quantification, BI-RADS, BI-RADS breast density category.

Volpara is a software application intended for use with digital breast x-ray systems, including tomosynthesis. Volpara calculates and quantifies volumetric breast density as a ratio of fibroglandular ...

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Certification verified:
Yes