AI

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

In a recent interview, Rajesh Bhayana, M.D., discussed pertinent findings from a new study examining the use of the large language model GPT-4o in facilitating protocoling for abdominal and pelvic CT exams.

In a recent interview, Ron Blankstein, M.D., discussed insights from a recent consensus statement from the American College of Cardiology on AI-enabled plaque quantification with coronary computed tomography angiography (CCTA) exams, and other pertinent considerations with the emerging technology.

The AI-CVD software reportedly combines automated quantitative measurements for cardiovascular assessments such as coronary artery calcium (CAC) scoring and epicardial fat volumetry with lung attenuation and liver attenuation analysis in one CT-based AI platform.

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

In addition to offering a variety of AI features, the Magnetom Flow 1.5T MRI system reportedly facilitates a 56 percent reduction in annual energy consumption in comparison to previous MRI scanners.

In a study involving over 1,400 patients who had abdominal or pelvic CTs, the large language model GPT-4o selected optimal protocols in 96.2 percent of cases in comparison to 88.3 percent for radiologists.

The Echo Stewardship Program, which allows non-sonographer clinicians to perform focused cardiac ultrasound exams under physician guidance, is now cleared for use across handheld, laptop and cart-based ultrasound platforms

In a recent interview, Jeremie Calais, M.D., Ph.D., discussed new research examining the prognostic capacity of PSMA PET parameters in predicting hematologic toxicity and outcomes for patients treated with (177Lu)Lu-PSMA-617 for mCRPC.

Catch up on the most well-viewed MRI content from 2025.

Catch up on the most well-viewed video interviews in December 2025.

Catch up on the most well-viewed radiology content from 2025.

Catch up on the most well-viewed mammography content from 2025.

From controversial research on radiation-induced long-term cancer risks with computed tomography (CT) scans and the emerging prognostic value of AI-enabled plaque quantification to the potential impact of deep learning and AI-enhanced radiomics in thoracic radiology, here is a look back at the most well-viewed CT content from 2025.

The cloud-based Brain Mets software reportedly provides accelerated detection, measurement and tracking of metastatic brain lesions based on routine brain MRI sequences.

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

Catch up on the most well-viewed video interviews from 2025.

Catch up on the most well-viewed ultrasound content from 2025.

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

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

For patients with systemic sclerosis, the combination of PCCT and automated Lung Texture Analysis (LTA) offered a higher AUC for detecting interstitial lung disease (ILD) at a 70 percent lower mean CT dose index than the pairing of EID-CT and LTA.

Providing automated analysis of non-contrast head CT scans, the AI-enabled Scaida BrainCT-ICH software offers a specificity of 88.7 percent for intracranial hemorrhage detection with less than six seconds of processing time.

Don’t overreact, keep your options open and develop off-ramps so you’re prepared regardless of the changes to come with AI.

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

The Breast Suite software reportedly provides automated localization of regions of interest on mammograms as well as AI-enabled assessments of breast density and stratification of breast cancer risk for up to two years.