- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
CADx signs client group
Quebec-based CADx Medical Systems has signed a two-year agreement to provide the members of Healthcare Services of New England access to its Second Look computer-aided detection (CAD) system. This is the third such agreement struck by CADx in recent
Quebec-based CADx Medical Systems has signed a two-year agreement to provide the members of Healthcare Services of New England access to its Second Look computer-aided detection (CAD) system. This is the third such agreement struck by CADx in recent weeks. Last month the company signed sole source agreements with two group purchasing organizations, MAGNET and Radiology Partners. Second Look highlights potential areas of concern, calling attention to subtle changes in tissue that may indicate the presence of cancer. CAD systems approved by the FDA for mammography earn Medicare reimbursement of $17.74 per patient for the service.
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.
