Image IQ Quiz: Patient Present with Unexplained Weight Loss

Catch up on the top radiology content of the past week.

Catch up on the top radiology content of the past week.

In a recent interview, Shadpour Demehri, MD, discussed new research examining connections between deep learning assessment of bone mineral density on chest CT, brain MRI data and the potential for enhanced risk stratification in patients with diabetes.

Catch up on the top AI-related news and research in radiology over the past month.

While better imaging may reduce the need for additional diagnostic tests, it may also eliminate the reimbursement that comes with those additional tests.

In a study involving over 700 participants who had chest CT and brain MRI, those with diabetes and lower vertebral bone mineral density (vBMD) had a nearly five percent faster total accumulation of white matter hyperintensity (WMH) in comparison to those without diabetes.

Newly cleared findings for the adjunctive AI platform a2z-Abdo-Triage include acute appendicitis, renal traumatic injury, ureteral stone and retroperitoneal hematoma.

Emerging research demonstrates the increasing stability of attenuation on clinically relevant VMIs with photon-counting CT and a redefined role of kV that may have implications for longitudinal quantitative CT.