Disease Hospital Public Health 
AuntMinnie
OCTOBER 9, 2023
Alzheimer’s disease patients with cognitive impairment or dementia who were referred for amyloid PET scans had fewer hospitalizations compared with a matched control group, according to a study published October 9 in JAMA Neurology. The percentage of patients impacted was small – just 4.5% of patients with dementia, the authors noted.
AuntMinnie
MAY 17, 2024
Imaging and radiology centers are among the least affected hospital services in Ukraine since the beginning of the Russian invasion in 2022, a study published May 17 in JAMA Health Forum found. The survey study included 74 Ukrainian hospitals from 12 oblasts (regions or provinces).
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AuntMinnie
MARCH 18, 2025
The findings could offer noninvasive alternatives for assessing liver fat fraction, wrote a team led by Tatjana Dell, MD, of University Hospital Bonn in Germany. The study results were published March 18 in Radiology.
Vesta Teleradiology
OCTOBER 9, 2023
Francis Medical Center issued a 10-day strike notice warning of walking off the job October 9 through October 13 if the hospital fails to deliver a contract for safe staffing levels. It’s important to note that healthcare worker strikes can have significant implications for patient care and public health.
Imaging Technology
JANUARY 18, 2024
CIMBID is a multidisciplinary center that will form collaborations across Columbia, including researchers from biomedical informatics, biomedical engineering, systems biology, the Mailman School of Public Health , and the Herbert Irving Comprehensive Cancer Center. “I
Imaging Technology
AUGUST 29, 2024
19, 2024 — GE HealthCare recently announced a collaboration with the University of California San Diego School of Medicine to investigate advanced magnetic resonance imaging (MRI) protocols and techniques for female-specific diseases and conditions of the pelvis and develop comprehensive educational materials for clinicians. In the U.S.,
Aidoc
AUGUST 1, 2024
Machine learning in healthcare represents a revolutionary approach to analyzing vast datasets to uncover patterns, predict disease states, flag suspected pathologies and personalize treatment plans. This proactive approach enables early intervention, ultimately reducing the burden on healthcare systems and improving public health outcomes.
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