Technology

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.

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.

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

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

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.

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.

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

This summer's breast imaging research spanned digital breast tomosynthesis (DBT) efficiency gains, AI models that flag cancer risk years before diagnosis, a cautionary study on automation bias, and advances in ultrasound, MRI, and contrast-enhanced mammography (CEM). Here is a look back at the most well-viewed breast imaging content of the summer.

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

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

In a recent Practice Academy webinar session, Nina Kottler, MD, MS, FSIIM, FAIM, discussed challenges with narrow AI applications, the continued emergence of foundation models and a potential trajectory with AI that may facilitate a combination of opportunistic screening and prognostic risk assessment.

In a recent Practice Academy webinar session, Seena Dehkharghani, MD, FAHA, and Raza Mushtaq, MD, discussed the challenge of burgeoning worklist volume amid the ongoing radiologist shortage and the emergence of AI advances with enterprise imaging.

The cmAngio 2.0 AI-enabled software reportedly offers new capabilities for quantitative measurement of breast arterial calcification (BAC) as well as age-based contextualization based on mammography assessment.

Catch up on the latest contrast-enhanced mammography research, CT insights, MRI studies and FDA approvals in PET imaging with our Weekly Scan.

Use of the CARE Multi-Triage CT Body software will be eligible for a New Technology Add-on Payment (NTAP) from CMS starting on October 1, 2026 for inpatients in Medicare fee for service plans.

Catch up on the latest blogs from Filippo Cademartiri, MD, PhD, who discusses topics ranging from CCTA scan acquisition and photon-counting CT to artificial intelligence and assessment of current plaque as a biomarker for evaluating MACE risk.

In comparison to standard readout-segmented echo-planar imaging, the combination of deep learning reconstruction and multi-shot diffusion-weighted imaging (DWI) offered significantly higher SNR, CNR and lesion contrast with a greater than a two-minute reduction in scan time.

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

Noting the rising imaging volume and dearth of MRI scanner availability, the authors of a new literature review explore the utility and impact of workflow redesign, staff training, scheduling improvements and AI advances for enhancing MRI workflows.

Catch up on the latest episodes of our Breast Imaging in Focus series with Manisha Bahl, MD, MPH, FSBI, discussing research on a variety of topics including breast arterial calcification on mammograms, automated breast ultrasound, AI and GLP-1 receptor agonists.

New computed tomography (CT) research in July 2026 ranged from the ongoing impact of AI to significant declines in CT radiation dosing over the past decade to a growing recognition that coronary artery calcium (CAC) scoring alone may not be sufficient to convey a true picture of cardiovascular risk stratification.

The AI tools for the newly launched Invenia ABUS Prime ultrasound platform reportedly facilitate a 40 percent increase in scan speed and up to a 93 percent sensitivity rate for lesion detection in women with dense breasts.

Combining automated lesion detection and characterization, the DeepHealth Breast Ultrasound software reportedly offers greater than 98 percent sensitivity for localizing breast lesions and reduces interpretation time for radiologists by 37 percent.