Find out what’s new

The Imaging Gap – A life-threatening shortage of diagnostic imaging

Over the last few decades, the demand for medical imaging has increased enormously, alongside the improvements in the field.

Hot Cathodes, Cold Cathodes

X-rays were discovered over 125 years ago. The father of X-rays was Wilhelm Conrad Röntgen, a German physicist who presented his paper ‘Über eine neue Art von Strahlen’ (‘On a New Kind of Rays’) to the Würzburg Physical Medical Society in December 1895.

The Nanox Source in Pulsed Fluoroscopy

One of the essential principles in the X-ray technologist’s work is the ALARA principle. ALARA is an acronym for “As Low As Reasonably Achievable”.

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)

In the study population – NanoxAI Bone tool helped detect more patients at-risk of osteoporosis when comparing to standard of care (FRAX)

Methods for identifying patients at high risk for osteoporotic fractures, including dual-energy X-ray absorptiometry (DXA)1,2 and risk predictors like the Fracture Risk Assessment Tool (FRAX)3-6, are underutilized.

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)1,2 and risk predictors like the Fracture Risk Assessment Tool (FRAX)3,4,5,6, are underutilized. We assessed the feasibility of automatic, opportunistic fracture risk evaluation based on routine abdomen or chest computed tomography (CT) scans.

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.

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.

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.

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.