Technology

The AI-powered SwiftSight Body Composition software reportedly provides automated quantification of muscle and adipose tissue after a brief MRI scan.

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

In a recent interview with Diagnostic Imaging, Joseph Cavallo, MD, MBA, offered insights on post-deployment monitoring with AI, the potential for improved workflow efficiency and the ongoing challenge of balancing essential clinical skills and AI literacy in the training of radiology residents and fellows.

Does fractional flow reserve (FFR) or quantitative plaque burden from CCTA provide greater prognostic insight into coronary disease?

Catch up on the most-well viewed radiology content in September 2026.

Catch up on the most well-viewed video interviews from Diagnostic Imaging in September 2026.

Catch up on a variety of FDA news in radiology from 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.

A deep learning model developed for predicting BI-RADS assessments from dynamic contrast-enhanced (DCE) breast MRI had over a 14 percent lower AUC than radiologist evaluation in external validation testing.

The CARE Chest X-Ray (CXR) Triage software reportedly bolsters consistent flagging of suspicious chest X-rays for lung collapse and pneumomediastinum across reviewing readers of different experience levels.

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.

Catch up on a variety of FDA news in radiology from the past week.

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

Reportedly one of the first FDA-cleared chest X-ray AI software platforms derived from a foundation model, the Chest Xray software facilitates detection and localization of lung nodules, pneumothorax, mediastinal abnormalities and other thoracic abnormalities.

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

While AI tools abound in radiology, how many AI-enabled software products have incorporated insights from clinical radiologists?

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

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.

Offering ease of integration into existing radiology workflows, the AI-enabled Heartvue.Proton software emphasizes time savings with automation of common measurements for cardiac MRI.

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.

Elevated coronary inflammation, measured with the CCTA-derived and AI-enabled perivascular fat attenuation index (FAI) score, was associated with over a 12-fold higher risk for cardiovascular mortality in patients with no diabetes, hypertension, smoking history or obesity, according to new research presented at the European Society of Cardiology (ESC) Congress.

In a recent interview, Arun Talkad, MD, discussed the use of AI-powered enterprise imaging to facilitate recently expanded acute stroke care guidelines from the American Heart Association and the American Stroke Association.