- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Feds push states to abolishcertificate of need regs
The U.S. Department of Justice and theFederal Trade Commission are pressuring stategovernments to repeal certificate of need lawsmeant to control healthcare costs by regulatingthe purchase of capital equipment, suchas MRI technology and CT scanners.
The U.S. Department of Justice and the Federal Trade Commission are pressuring state governments to repeal certificate of need laws meant to control healthcare costs by regulating the purchase of capital equipment, such as MRI technology and CT scanners.
The two agencies argue that CON laws are anticompetitive, favor incumbents, and undercut consumer choice. The DOJ and FTC underscored their position in discussions with Georgia and in statements to Alaska, Florida, and, more recently, Illinois.
At the invitation of Gov. Sarah Palin of Alaska, FTC officials testified in February at a state legislative committee in favor of HB 337, a bill that would have eliminated CON jurisdiction in several cities and towns. The bill's opponents say deregulation will favor privately owned specialty hospitals at the expense of the state's acute care hospitals. Efforts to pass the bill have so far been stymied.
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.
