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.
Article SCCT: Assessing the Impact of AI Detection of Coronary Plaque on Chest CT Scans and Notification of Treating Physicians
Article Forbes Article: Why Healthcare Innovation Is Only As Useful As Deployment
Conference Abstract FR SCCT 2026: AI Detection of Incidental Coronary Artery Calcium to Enhance Cardiovascular Disease Prevention: The AI INFORM Trial
Conference Abstract FR SCCT 2026: Agreement Between AI-Detected Coronary Artery Calcium & Expert Visual Assessment: A Multi-Site Analysis
Conference Abstract FR Applications of Digital Tomosynthesis in the Musculoskeletal System
DTS basically splits the radiographs into layers resulting in anatomical structures and abnormalities not obscured by other structures
This leads to
-Improved visualization of bones joints (especially wrist and hand, foot)
-Increased sensitivity of occult fracture diagnosis
-Improved visualization of different types of lesions
-Improved imaging in patients with metal, casts, splint and bracing
-Better localization of lesions
-Less dependency on position
-Elimination of pseudo-fractures created by superimposition of structures
Article Beyond Chest X-Ray: Revealing Hidden Pulmonary Pathology with Digital Tomosynthesis (DTS)
10 minutes de lecture
Conference Abstract FR Real world comparison between the HealthVCF and HealthOST AI models for detection of vertebral fractures from existing CT scans
Conference Abstract FR Artificial Intelligence Vs Human Interpretation For Opportunistic Detection Of Vertebral Fractures In Routine Ct Imaging: Results Of A 2-Months Pilot Study
Conference Abstract FR Impact of AI-enabled vertebral fracture (VF) identification on Fracture Liaison Service (FLS) Key Performance Indicators (KPIS) and treatment recommendations
Conference Abstract FR Comparison of radiology augmented vs asynchronous implementation of AI enabled Vertebral Fracture reporting
Conference Abstract FR Accelerating Statin Prescription Following Coronary Artery Calcium Detection Using Ai In A Large Integrated Delivery Network
Médias 
The potential role of digital tomosynthesis in lung imaging workflows
ECR 2026 lecture by Dr. Nogah Shabshin, MD, MBA, BSc, Musculoskeletal Radiologist and Medical Director, ARC Division
Portail client