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.
Choose what intrigues you:
Choose content type:
27 Results
Article Cardiac
AI-powered opportunistic screening could help find patients with undetected aortic stenosis
2 Minutes reading
Article Cardiac
Prevalence and Prognostic Value of Incidentally Detected Coronary Artery Calcium Using Artificial Intelligence Among Individuals With Immune-Mediated Inflammatory Diseases
Article Cardiac
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
Article Beyond Chest X-Ray: Revealing Hidden Pulmonary Pathology with Digital Tomosynthesis (DTS)
Conference Abstract Bone
Artificial Intelligence Vs Human Interpretation For Opportunistic Detection Of Vertebral Fractures In Routine Ct Imaging: Results Of A 2-Months Pilot Study
Article Nanox.AI
Nanox Showcases End-to-End Medical Imaging Innovations and AI Solutions at ECR to Improve Patient Access and Outcomes
Article Nanox.ARC
A virtual trial evaluation of patient motion in arc and linear system designs in body digital tomosynthesis
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
Client portal