AI

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.

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

Utilization of the ThinkSono Guidance software app by non-ultrasound trained clinicians on point-of-care ultrasound devices reportedly facilitated diagnostic image quality in 87.1 percent of cases, according to recent research.

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

Recently presented research with the AI-powered CaRi-Heart software at the Society of Cardiovascular Computed Tomography (SCCT) conference found that assessments of advanced coronary inflammation with the software were linked to significantly higher cardiovascular mortality risks.

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.

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

In a recent interview, Kenneth Chan, MBBS, discussed new research, presented at the recent Society of Cardiovascular Computed Tomography (SCCT) conference, that showed the impact of coronary inflammation in identifying elevated cardiovascular risk in patients with zero or low coronary artery calcium (CAC) scores.

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.