Our Knowledge Center
The Knowledge Center is a comprehensive repository of information dedicated to the imaging industry. It offers a wide array of expert articles, cutting-edge research, and practical guides on the latest advancements in imaging technology. Designed for healthcare professionals, this resource hub provides valuable insights and updates to help you stay informed and excel in your field.
Conference Abstract Impact of AI-enabled vertebral fracture (VF) identification on Fracture Liaison Service (FLS) Key Performance Indicators (KPIS) and treatment recommendations
Conference Abstract Comparison of radiology augmented vs asynchronous implementation of AI enabled Vertebral Fracture reporting
Conference Abstract Accelerating Statin Prescription Following Coronary Artery Calcium Detection Using Ai In A Large Integrated Delivery Network
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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
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Activating Latent Data to Promote Early Detection:The Role of AI in CT Imaging
ECR 2026 lecture by Orit Wimpfheimer, M.D., Chief Medical Officer at Nanox. Activating Latent Data to Promote Early Detection:The Role of AI in CT Imaging
Nanox.AI solutions analyze routine CT scans performed for any clinical indication, including lung cancer screening.
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FFN Webinar What AI Can Do for FLS. Professor Kassim Javaid details how AI can scale Fracture Liaison Services by automating fracture detection and patient data summarization.
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FFN Webinar Bringing AI into FLS. The webinar focuses on the integration of artificial intelligence (AI) into the Fracture Liaison Service (FLS) in Oxford.
Conference Abstract Evaluation of the diagnostic potential of a Tomosynthesis system for MSK – ECR 2025
Conference Abstract Optimizing Preventive Cardiology: Harnessing AI For Early Detection Of Coronary Artery Disease
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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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