- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Radiation Dose Reduction Company Wins FDA Clearance
ControlRad, Inc., technology will now be available on Siemens’ interventional imaging systems.
ControlRad, Inc., announced this week it has secured U.S. Food & Drug Administrationg 510(k) clearance for its ControlRad Select system designed to reduce unnecessary radiation exposure during fluoroscopically guided procedures.
This technology, which uses proprietary semi-transparent filters, a user-interface tablet, and image processing algorithms, retrofitted onto existint Siemens Artis zee interventional imaging systems, can reduce radiation dose by 85 percent for images captured in cath, interventional radiology, and electrophysiology labs, said ControlRad CEO Guillaume Bailliard.
For more coverage based on industry expert insights and research, subscribe to the Diagnostic Imaging e-newsletter here.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
Current Perspectives on Radiology Workforce Issues and Potential Solutions
March 14th 2024Emphasizing the gravity of the ongoing workforce shortage in radiology, these authors recommend a change agenda focusing on expanded numbers of residency positions, reassessment of educational pathways, maintaining a strong presence in hospital settings and practice level initiatives to reduce administrative burden and achieve appropriate reimbursement beyond RVU measurements.
Could Cloud-Based 'Progressive Loading' be a Boon for Radiology Workflows?
March 13th 2024The newly launched Progressive Loading feature, available through RamSoft’s OmegaAI software, reportedly offers radiologist rapid uploading of images that is faster than on-site networks and other cloud-based systems regardless of the network radiologists are using.
