MSK,
pulmonary and mammographic
solution.
AI-lliance Box, the most innovative artificial intelligence solution in the medical imaging market.
The AI-lliance Box, a solution created through the partnership between Therapixel and Milvue, aims to make artificial intelligence applied to medical imaging as accessible as possible by offering an AI solution adapted to musculoskeletal, pulmonary, and mammographic imaging. It also allows for the anonymization of original exams through an integrated module (AI-Gateway).
This solution, which combines the expertise of two multidisciplinary teams, facilitates the deployment of innovative solutions among radiologists, accelerates the implementation of decision-making tools that improve patient care pathways, and brings even more efficiency to radiology centers.
On Milvue's side, the musculoskeletal and pulmonary functionalities are specific configurations of the SmartUrgences and SmartXpert modules, included in the Milvue Suite. The Milvue Suite software, developed by Milvue, is a class IIa medical device under Regulation EU MDR 2017/745 - Notified body : BSI, CE 2797.
On Therapixel's side, the MammoScreen™ software is a mammography interpretation aid solution that helps radiologists improve their performance. The software is a class IIa medical device, CE marked in accordance with Directive 93/42/EEC - Notified body : DQSE2017. For more information on the product : mammoscreen.fr.
The best of AI applied to medical imaging.
MSK | Pulmonary | Mammographic
CLASS IIA
AI-lliance Box is designed to help healthcare professionals analyze radiological images. Clinical evaluation and final diagnosis are based solely on the expertise of the healthcare professional.
For all information on the use and characteristics of the product, please read the user guide available on request in the Contact section of the site.
This feature included in the AI-lliance Box is an integrated anonymization module for original exams, ensuring patient privacy when their data is transmitted through the Cloud or used in research protocols.
Assessment of a combined musculoskeletal and chest deep learning-based detection solution in an emergency setting.
Authors : Parpaleix A, Parsy C, Cordari M, Mejdoubi M.
Partners : CH de Valenciennes et Arterys
Publication : March 2023 in the European Journal of Radiology Open.
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