The U.S. Food and Drug Administration today announced the following actions taken in its ongoing response effort to the COVID-19 pandemic: On Tuesday, the FDA stood up a new...
Magazine
X-ray Market Forecast to Eclipse $15 Billion
Staff report The global X-ray imaging market is forecasted to reach $15.4 billion by 2027, according to a report by Reports and Data. The report, according to a press...
CARESTREAM DRX-Revolution Nano Mobile X-ray System
The CARESTREAM DRX-Revolution Nano Mobile X-ray System provides high-quality digital radiography images in real time for patients in small rooms, the Intensive Care Unit...
Hologic Fluoroscan InSight FD Mini C-arm Extremities Imaging System
The Hologic Fluoroscan InSight FD Mini C-arm Extremities Imaging System provides diversified imaging options, an enhanced interface and a 24-inch HD touchscreen interface...
KA Imaging Reveal detector
Using only one exposure with a conventional X-ray source, KA’s detector Reveal can present three types of images: traditional DR, soft tissue and bone. The patented...
Philips MobileDiagnost wDR 2.2
Launched at RSNA 2019, Philips’ MobileDiagnost wDR 2.2 is a premium mobile digital radiography system that brings the superb image quality and high efficiency of its premium...
Siemens Healthineers Luminos Agile Max
The Luminos Agile Max 2-in-1 fluoroscopy system from Siemens Healthineers enables patient-side fluoroscopy as well as unlimited radiography capabilities for increased system...
Konica Minolta Healthcare KDR Advanced U-arm
The KDR Advanced U-arm is one of the most versatile DR systems available today. It performs standard X-rays, weight bearing studies and the new Dynamic Digital Radiography...
GE Healthcare Definium 656 HD
Powered by Helix 2.0 advanced image processing, Definium 656 HD is GE Healthcare’s premium digital radiographic system for extraordinary anatomical detail and balanced...
AI, AI, Oh! The Role of Big Data in Practice Management and Clinical Advancement
Like medical imaging itself, artificial intelligence (AI) and machine learning technologies have captured the collective imagination of the health care space not only because of their seemingly limitless potential to improve the universal standard of care, but also because of the complementary value they represent to various branches of medicine.
