GE HealthCare expands its medical imaging equipment production in Waukesha with its first North American manufacturing site ...

CHICAGO--(BUSINESS WIRE)--GE HealthCare (Nasdaq: GEHC) today announced the launch of the new Versana Premier™, the latest release within the Versana ultrasound family of reliable, affordable ...

The first-ever digital broadband MR system. Elevate clinical performance, accelerate patient management, improve economic value. Featuring DirectDigital, FlexStream and EasyExpand, dStream is an ...

For six years now there have been magnetic resonance imaging (MRI) scanners on the market that don’t consume helium but use just small amounts in a closed-loop system. With MRI scanners accounting for ...

For more than 40 years, GE HealthCare contrast media has been routinely used across MRI, X-ray/CT and ultrasound to enhance clinical images and support diagnosis. GE HealthCare is a leading global ...

The powerful MRI scanners used for the study, known as 7-Tesla or 7T scanners, can measure inflammation in the brain. Their results, published in the journal Brain, will help scientists and ...

MRI contrast agents are substances used to improve the visualisation of internal structures during MRI imaging. Credit: Aleksandar Malivuk / Shutterstock. GE HealthCare has announced positive results ...

The clinical trial program demonstrates GE HealthCare’s commitment to innovation in contrast media and to building a portfolio of MRI imaging agents to address radiologists’ needs for their patients.

In addition to its automated testing capabilities, Burp Scanner can also be a powerful tool in your manual testing workflow, enabling you to investigate items or areas of interest without having to ...

A breakthrough in miniaturising a type of scanner that uses laser light ... harmful X-rays or multi-million pound imaging tools like MRI. "These technical advances make the system suitable ...

Medical imaging using magnetic resonance imaging (MRI) is very time-consuming since an image has to be compiled from data from many individual measurements. Thanks to the use of machine learning ...