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.
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36 Results
Conference Abstract Bone
Impact of AI-enabled vertebral fracture (VF) identification on Fracture Liaison Service (FLS) Key Performance Indicators (KPIS) and treatment recommendations
Conference Abstract Bone
Comparison of radiology augmented vs asynchronous implementation of AI enabled Vertebral Fracture reporting
Media Nanox.ARC
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
Article Nanox.ARC
A virtual trial evaluation of patient motion in arc and linear system designs in body digital tomosynthesis
2 Minutes reading
Media Bone
AI tools streamline administrative workflows, allowing clinicians to focus on high-risk cases while improving long-term treatment monitoring.
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.
Media Bone
The webinar highlights practical examples, workflow improvements, and the impact of AI on patient outcomes and service efficiency.
FFN Webinar Bringing AI into FLS. The webinar focuses on the integration of artificial intelligence (AI) into the Fracture Liaison Service (FLS) in Oxford.
Article Bone
Barriers to implementation of Artificial Intelligence algorithm into routine clinical care: experiences across 5 NHS trusts in the UK.
Article Bone
Survival of opportunistically identified patients with vertebral fractures using existing CT scans: do they survive long enough to potentially benefit from fracture prevention interventions?
Article Bone
COMPARISON OF RADIOLOGY AUGMENTED VS ASYNCHRONOUS OF ARTIFICIAL INTELLIGENCE (AI) ENABLED VERTEBRAL FRACTURE (VF) REPORTING
Article Bone
Artificial Intelligence Enabled Vertebral Fracture Identification for Fracture Liaison Services: opportunities and challenges – The ADOPT Study
Article Bone
Clinical Validation of Commercial AI Software for the Detection of Incidental Vertebral Compression Fractures in CT Scans of the Chest and Abdomen
Conference Abstract Nanox.ARC
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