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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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.

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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.

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Barriers to implementation of Artificial Intelligence algorithm into routine clinical care: experiences across 5 NHS trusts in the UK.

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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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COMPARISON OF RADIOLOGY AUGMENTED VS ASYNCHRONOUS OF ARTIFICIAL INTELLIGENCE (AI) ENABLED VERTEBRAL FRACTURE (VF) REPORTING

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Artificial Intelligence Enabled Vertebral Fracture Identification for Fracture Liaison Services: opportunities and challenges – The ADOPT Study

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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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Optimizing Preventive Cardiology: Harnessing AI For Early Detection Of Coronary Artery Disease

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How AI Is Empowering Radiologists to Transform Cardiac Health Care – AppliedRadiology

By Orit Wimpfheimer, MD

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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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Atlantic Health System: Leveraging AI for Opportunistic Screening: Identifying Coronary Artery Calcification on Non-ECG Gated Lung Cancer Screening Chest CT

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How AI can spot diseases that doctors aren’t looking for

When 58-year-old Will Studholme ended up in accident and emergency at an NHS hospital in Oxford in 2023 with gastrointestinal symptoms, he wasn’t expecting a diagnosis of osteoporosis.

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