- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
LabStat expenses prompt ADAC to shut down project
LabStat expenses prompt ADAC to shut down projectThe high cost of completing development on its LabStat laboratory information system has caused ADAC Laboratories to shut down the project, the Milpitas, CA, vendor announced last month. ADAC will
LabStat expenses prompt ADAC to shut down project
The high cost of completing development on its LabStat laboratory information system has caused ADAC Laboratories to shut down the project, the Milpitas, CA, vendor announced last month. ADAC will continue to support its installed base of LIS customers, but has no plans to enter the market for new LIS products.
ADAC gained access to LabStat through its 1995 acquisition of Community Health Computing, which had filed for bankruptcy five months earlier. ADAC pursued the acquisition as part of its strategy to expand its RIS business.
The costs of completing development of LabStat were a drain on the company, and eventually ADAC decided to pull the plug. ADAC's RIS business continues to perform well, however, and the company plans to keep its ADAC HealthCare Information Systems business in Houston.
- Search again
- Homepage
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.
