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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White Papers
Cardiac

Fully-convolutional deep-learning based system for coronary calcium score prediction from non-contrast chest CT

The amount of calcium deposits in the coronary arteries is a powerful predictor of cardiovascular events and mortality.

White Papers
Cardiac

Assessment of Coronary Artery Calcification on Non-Gated Conventional CT Scans Using Artificial Intelligence Integraion

White Papers
Cardiac

Opportunistic Screening of Coronary Artery Calcification on Non-gated Conventional CT scans Using Artificial Intelligence

Findings presented at SCCT 2024

White Papers
Cardiac

AI Empowering Early Detection of CAD Patients for Improved Cardiac Care

Findings presented at SCCT 2024

White Papers
Cardiac

Optimizing Preventive Cardiology: Harnessing AI for Early Detection of Coronary Artery Disease

Findings presented at SCCT 2024

White Papers
Bone

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.

White Papers
Nanox.AI

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
Nanox.AI

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
Nanox.AI

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
Nanox.AI

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
Nanox.AI

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
Nanox.AI

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.

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