Hologic Inc. has announced U.S. Food and Drug Administration (FDA) clearance and commercial availability of the company’s Genius AI Detection…
Browsing: Industry News
During the virtual 106th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA), Nov. 29 to Dec. 5, Siemens Healthineers introduces the Cios Flow, a mobile C-arm designed to increase the ease and efficiency of everyday imaging workflows for surgical interventions.
United Imaging, a platinum sponsor at RSNA’s virtual conference, announced the uCT ATLAS, a 510k pending ultra-wide bore Computed Tomography system with innovative AI technology.
Resoundant Inc., announced that it has entered into a strategic partnership with United Imaging Healthcare to begin offering advanced magnetic resonance elastography (MRE) on leading United Imaging MRI systems.
Canon Medical Systems USA, Inc. will be showcasing the next evolution of Compressed SPEEDER technology: Compressed SPEEDER for 3D sequences (pending 510(k) clearance), at the virtual RSNA 2020 annual meeting.
With the launch of Canon Medical Systems USA Inc.’s all-new OMNERA® 500A Digital Radiography System, facilities now have access to a system that offers heightened productivity for fast-paced imaging departments so that technologists can focus on their patients.
GE Healthcare has unveiled a slate of new intelligently efficient solutions to help clinicians solve today’s two-part challenge of delivering high quality care while managing greater capacity and workflow issues, exacerbated by the impact of COVID-19.
This year at the all virtual Annual Meeting of the Radiological Society of North America (RSNA), Konica Minolta Healthcare Americas, Inc. will demonstrate the latest innovations across its diverse portfolio of imaging, IT and service solutions.
At this year’s virtual RSNA congress, Ziehm Imaging showcases its leading portfolio of mobile C-arms and advanced imaging solutions.
Next generation of Philips’ advanced radiology visualization platform leverages image post-processing and artificial intelligence (AI) to deliver quantitative clinical insights, drive increased diagnostic confidence, simplify workflows, and reduce time-to-report
