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Geared toward facilitating earlier detection and efficiencies in emergency department workflow, the AI triage software reportedly has 11 newly cleared indications.

In a prospective comparison with prior criteria for evaluating hepatocellular carcinoma surveillance, the American Association for the Study of Liver Diseases (AASLD) version 2023 system offered significantly higher sensitivity.

In a recent interview, David Yankelevitz, M.D., discussed the recent FDA clearance of the AI-CVD multisystem screening software and the ongoing evolution of incorporating computed tomography into personalized screening and risk assessments.

Incorporating AI to reduce artifacts and bolster soft tissue contrast, the Elekta Evo CT-Linac system reportedly improves detection of tumors and organs-at-risk.

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

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 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.

Catch up on the most popular radiology podcasts 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.

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.

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.

For patients with primary lung cancer, a nomogram incorporating PET, CT and clinical findings offered an 87.7 percent AUC for predicting lymph node metastasis and over a 19 percent higher sensitivity than a PET-based model for predicting small lymph node ( > 1 cm) metastasis.

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.

In a recent interview, Layne Dylla, M.D. discussed key findings from a recent study that revealed a doubling of annual head CT scans in emergency department settings over a 15-year period.

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.

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

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

Catch up on the most well-viewed video interviews from Diagnostic Imaging in November 2025.