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.

Lung Cancer Screening programs can achieve greater clinical benefit by leveraging the Nanox.AI CAC measurement tool

Using machine learning algorithms to review computed tomography scans and assess risk for cardiovascular disease: Retrospective analysis from the National Lung Screening Trial (NLST)

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.

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

Opportunistic Screening of Coronary Artery Calcification on Non-gated Conventional CT scans Using Artificial Intelligence
Findings presented at SCCT 2024

AI Empowering Early Detection of CAD Patients for Improved Cardiac Care
Findings presented at SCCT 2024

Optimizing Preventive Cardiology: Harnessing AI for Early Detection of Coronary Artery Disease
Findings presented at SCCT 2024

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.

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.

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.

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

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.