- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Olicon sells TAP program
PACS vendor Olicon Imaging Systems of Aliso Viejo, CA, has divested its teleradiology archiving program (TAP) and microfilm division to F.Y.I., a document and information outsourcing solutions company. Terms of the deal were not immediately released.
PACS vendor Olicon Imaging Systems of Aliso Viejo, CA, has divested its teleradiology archiving program (TAP) and microfilm division to F.Y.I., a document and information outsourcing solutions company. Terms of the deal were not immediately released. Although Olicon officials were not available to comment on the sale, the move appears to be in line with their decision to focus on OEM distribution opportunities with healthcare information systems companies, particularly with partner Shared Medical Systems of Malvern, PA (SCAN 11/11/98).
The TAP program allows healthcare institutions to store their radiology films at off-site warehouses in Louisville, KY, and Ontario, CA. When needed, the films are scanned via a film digitizer and transmitted electronically to the requesting site. Dallas-based F.Y.I. will call its new division F.Y.I. Radiology Archiving and Imaging Services.
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.
