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.
Events RSNA 2021
November 28 to December 2, 2021 / McCormick Place
McCormick Place. On Wed. Dec. 1st at 10:30 PCT Nanox will present a virtual tour of Nanox.ARC in a clinical setting, broadcast from Shamir Medical Center (Assaf Harofeh), a leading government hospital in Israel with advanced diagnostic imaging capabilities.
Join us: https://nanoxvirtual.com/NanoxVision
Media 
Nanox.AI cardiac solution in the news: empowering data to improve preventive healthcare
Nanox.AI HealthCCSng algorithm identified moderate to severe levels of coronary artery calcium (CAC) in 58% of patients.
White Papers Artificial Intelligence in Medical Imaging: An Overview of a Decade of Experience
Medical imaging data has been at the frontier of artificial intelligence innovation in medicine with many clinical applications.
10 Minutes reading
White Papers Using machine learning algorithms to review computed tomography scans and assess risk for cardiovascular disease: Retrospective analysis from the National Lung Screening Trial (NLST)
The National Lung Screening Trial (NLST) demonstrated that annual screening with low dose CT in high-risk population was associated with reduction in lung cancer mortality.
White Papers Automated opportunistic osteoporotic fracture risk assessment using computed tomography scans to aid in FRAX underutilization
Methods for identifying patients at high risk for osteoporotic fractures, including dual-energy X-ray absorptiometry (DXA) and risk predictors like the Fracture Risk Assessment Tool (FRAX) are underutilized.
White Papers PHT-BOT: Deep-Learning Based System For Automatic Risk Stratification Of COPD Patients Based Upon Signs Of Pulmonary Hypertension
Chronic Obstructive Pulmonary Disease (COPD) is a leading cause of morbidity and mortality worldwide
White Papers Simulating Dual-Energy X-Ray Absorptiometry in CT Using Deep-Learning Segmentation Cascade
Osteoporosis is an underdiagnosed condition despite effective screening modalities. Dual-energy x-ray absorptiometry (DEXA) screening, although recommended in clinical guidelines, remains markedly underutilized.
White Papers TextRay: Mining Clinical Reports To Gain A Broad Understanding Of Chest X-Rays
The chest X-ray (CXR) is by far the most commonly performed radiological examination for screening and diagnosis of many cardiac and pulmonary diseases.
White Papers Improved Intracranial Hemorrhage Classification using Deep Multi-task Learning
Head CT is one of the most commonly performed imaging studied in the Emergency Department setting and Intracranial hemorrhage (ICH) is among the most critical and timesensitive findings to be detected on Head CT.
White Papers Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement
Breast cancer is the most prevalent malignancy in the US and the third highest cause of cancer-related mortality worldwide.
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