Notre centre de connaissances
Le Centre de connaissances est un référentiel complet d’informations dédié à l’industrie de l’imagerie. Il propose un large éventail d’articles d’experts, de recherches de pointe et de guides pratiques sur les dernières avancées en matière de technologie d’imagerie. Conçu pour les professionnels de la santé, ce centre de ressources fournit des informations et des mises à jour précieuses pour vous permettre de rester informé et d’exceller dans votre domaine.
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                Article            Barriers to implementation of Artificial Intelligence algorithm into routine clinical care: experiences across 5 NHS trusts in the UK.
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                Article            Survival of opportunistically identified patients with vertebral fractures using existing CT scans: do they survive long enough to potentially benefit from fracture prevention interventions?
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                Article            COMPARISON OF RADIOLOGY AUGMENTED VS ASYNCHRONOUS OF ARTIFICIAL INTELLIGENCE (AI) ENABLED VERTEBRAL FRACTURE (VF) REPORTING
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                Article            Artificial Intelligence Enabled Vertebral Fracture Identification for Fracture Liaison Services: opportunities and challenges – The ADOPT Study
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                Article            Clinical Validation of Commercial AI Software for the Detection of Incidental Vertebral Compression Fractures in CT Scans of the Chest and Abdomen
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                Article            A virtual trial evaluation of patient motion in arc and linear system designs in body digital tomosynthesis
 Conference Abstract FR
                Conference Abstract FR            Evaluation of the diagnostic potential of a Tomosynthesis system for MSK – ECR 2025
 Conference Abstract FR
                Conference Abstract FR            Optimizing Preventive Cardiology: Harnessing AI For Early Detection Of Coronary Artery Disease
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                Article            How AI Is Empowering Radiologists to Transform Cardiac Health Care – AppliedRadiology
By Orit Wimpfheimer, MD
 Médias
                Médias            Novel opportunities using AI in identifying new patients with CAC
This webinar features Ron Blankstein, MD, MSCCT; Orit Wimpfheimer, MD and David Langholz, MD. Considerable research has shown that AI based incidental detection of coronary calcification presents an opportunity to identify previously unknown patients with considerable cardiovascular risk and empower clinicians to promote cardiovascular disease prevention. Incidental coronary artery calcification (iCAC) can be integrated seamlessly into the clinical workflow as will be presented by Corewell Health in Michigan who will share their experience, impact and lessons learned.
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                Article            Article de Forbes : L’IA dans le secteur de la santé : une nouvelle ère de soins personnalisés pour les patients
 Livres blancs
                Livres blancs             2 minutes de lecture
 2 minutes de lecture 
                    