- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Agfa strikes alliance with Network Appliance
The PACS industry has a new alliance. Agfa and Network Appliance, a provider of enterprise network storage solutions, have entered into a marketing, technology, and distribution partnership to offer NetApp network storage solutions to buyers of Agfa's
The PACS industry has a new alliance. Agfa and Network Appliance, a provider of enterprise network storage solutions, have entered into a marketing, technology, and distribution partnership to offer NetApp network storage solutions to buyers of Agfa's IMPAX PACS. NetApp technologies are intended to ease the difficulties that may occur when sharing diagnostic images across hospital departments and sending to remote locations. NetApp FAS and NearStore address technical and economic limitations, as well as shortcomings associated with networking and management of storage resources. They promise to reduce expenses associated with accessing and managing isolated storage resources. They also enhance architecture flexibility for IT growth, while helping customers meet security requirements associated with standards and regulations, including the Health Insurance Portability and Accountability Act of 1996.
Study Reaffirms Low Risk for csPCa with Biopsy Omission After Negative Prostate MRI
December 19th 2024In a new study involving nearly 600 biopsy-naïve men, researchers found that only 4 percent of those with negative prostate MRI had clinically significant prostate cancer after three years of active monitoring.
Study Examines Impact of Deep Learning on Fast MRI Protocols for Knee Pain
December 17th 2024Ten-minute and five-minute knee MRI exams with compressed sequences facilitated by deep learning offered nearly equivalent sensitivity and specificity as an 18-minute conventional MRI knee exam, according to research presented recently at the RSNA conference.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.
