Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.
Compared to standard hip-to-waist ratio measurements and BMI, the algorithm identifies significantly more instances of metabolic syndrome and its severity in individual patients.
The FDA has declined to accelerate approval of Eli Lilly’s highly anticipated Alzheimer’s drug, but the reason for the rejection may presage a forthcoming thumbs-up.
Accelerated MRI with AI image reconstruction nearly halved orthopedic scan times while maintaining or even improving image quality in a newly published prospective study.
When trained with high-fidelity simulation, junior radiology residents can master the discipline of reading whole-body CTs right at the trauma scanner—and doing so with high diagnostic accuracy, work speed and interpretive confidence.
Researchers at the Hospital for Special Surgery in New York City have demonstrated fast but fine 3D lumbar image acquisition on MRI using deep learning image reconstruction.
When resident teams included experienced fourth-year trainees, the resident/attending pairs cut overall median report turnaround times by seven minutes versus attending-only efforts.
The nuclear imaging isotope shortage of molybdenum-99 may be over now that the sidelined reactor is restarting. ASNC's president says PET and new SPECT technologies helped cardiac imaging labs better weather the storm.
CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.
