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.
Article Barriers to implementation of Artificial Intelligence algorithm into routine clinical care: experiences across 5 NHS trusts in the UK.
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?
Article COMPARISON OF RADIOLOGY AUGMENTED VS ASYNCHRONOUS OF ARTIFICIAL INTELLIGENCE (AI) ENABLED VERTEBRAL FRACTURE (VF) REPORTING
Article Artificial Intelligence Enabled Vertebral Fracture Identification for Fracture Liaison Services: opportunities and challenges – The ADOPT Study
Article Clinical Validation of Commercial AI Software for the Detection of Incidental Vertebral Compression Fractures in CT Scans of the Chest and Abdomen
Conference Abstract Optimizing Preventive Cardiology: Harnessing AI For Early Detection Of Coronary Artery Disease
Article How AI Is Empowering Radiologists to Transform Cardiac Health Care – AppliedRadiology
By Orit Wimpfheimer, MD
2 Minutes reading
Media 
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.
Article 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.
Article Using Artificial Intelligence to Semi-Quantitate Coronary Calcium as an ‘Incidentaloma’ on Non-Gated, Non-Contrast CT Scans, A Single-Center Descriptive Study in West Michigan.
Article Artificial Intelligence in Coronary Artery Calcium Scoring
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