Technology

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.

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

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

In comparison to findings from a similar study in 2014, the national volume computed tomography (CT) dose index (CTDLvol) declined by 9.3 percent, according to newly published research involving 5 million CT exams for over 2.8 million adults in 2025.

In an external test set from a recent study, a combined radiomic/deep learning model for intratumoral computed tomography (CT) threshold segmentation offered an 82.3 percent AUC and 95.4 percent sensitivity for predicting visceral pleural invasion in patients with lung adenocarcinoma < 30 mm.

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

Advanced imaging with photon-counting CT and AI detection of subtle calcification may lead to a reevaluation of the power of zero with coronary artery calcium (CAC) scoring.

The HOPPR EF Chest CT Narrative Model reportedly provides narrative language describing pertinent findings across pulmonary, upper abdominal, cardiac, mediastinal and soft tissue regions with processing of 3D chest CT volumes.

In a recent interview, Vivek Singh, MD, discussed the practical realities of integrating AI into neuroradiology workflows, addressing challenges and concerns with implementation and potential automation bias, and emphasizing the importance of appropriate governance with AI tools and measurable outcomes in stroke imaging.

General radiologist assessment of mammograms with adjunctive AI led to a significant increase in cancer detection rate akin to that of breast imaging specialists, according to new research.

Catch up on the latest imaging research from the recent Society of Cardiovascular Computed Tomography (SCCT) conference.

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

In a recent interview, Ron Blankstein, MD, discussed new research presented at the Society of Cardiovascular Computed Tomography (SCCT) conference, including a study examining the impact of notification of AI detection of coronary plaque on physicians prescribing lipid-lowering therapy.

In cases involving false negative suggestions from adjunctive AI for screening mammogram review, researchers found that unassisted radiologists had a 32 percent higher sensitivity rate than those who utilized AI.

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

The Alturion ultrasound device reportedly combines portability, AI-enhanced capabilities and a user-friendly interface to facilitate streamlined workflows.

Deep learning-based motion correction with the CLEAR Motion software reportedly bolsters cardiac imaging quality while the PIQE 1024 Deep Learning Reconstruction software offers equivalent SNR to photon-counting CT for high-resolution views of objects less than 0.5 mm.

The newly FDA-cleared PACS Viewer from CliniComp reportedly allows direct review and analysis of imaging within a patient’s chart.

In a recent interview, Nina Kottler, MD, offered her perspective on findings from a recent report on AI in health care, AI integration challenges and what the future holds with AI in radiology.

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

Emerging research demonstrates that those with total plaque volume > 750 mm3 have an 18.6 percent risk of MACE at four years in comparison to a 1.4 percent MACE risk for those with no plaque.

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

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

In order to fully take advantage of the capabilities of AI, this author emphasizes key principles and a framework for converting isolated technology solutions into reliable components of radiology workflows and operations.