Advances in AI — January 2026

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

In the first of a two-part podcast episode, Lauren Nicola, MD, Christoph Wald, MD, PhD, MBA, and Peter Shen discuss current challenges with reimbursement for AI in radiology.

In the second of a two-part interview, Kalpana Kanal, PhD, and Mahadevappa Mahesh, MS, PhD, FAPPM, FACR, discussed future directions for research on CT radiation dosing, including the potential of indication-specific diagnostic reference levels (DRLs).

The use of adjunctive AI for pulmonary nodule assessment on chest CT exams led to over a three-minute reduction in median reporting time, according to newly reported research.

In the first of a two-part interview, Kalpana Kanal, PhD, and Mahadevappa Mahesh, MS, PhD, FAPPM, FACR, discussed recently published research showing significant declines in computed tomography (CT) radiation dosing over the past decade.

A new study shows that even small plaque volume may be associated with significantly higher risk for cardiovascular events, making the enhanced spatial resolution available with advanced imaging even more critical in risk stratification.

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.