AI

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.

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.

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.

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

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

The combination of deep learning and iterative reconstruction with Pristina Recon DL may enhance image quality with digital breast tomosynthesis.

The new FDA 510(k) clearances for RapidAI include Rapid LMVO, which facilitates assessment of ischemic stroke, and Rapid MLS, which aids in the quantification of midline shifts with potential brain injuries.

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

Utilizing the AI-enabled TrackPSMA to monitor the effectiveness of radioligand therapy for prostate cancer may allow more timely decisions to adjust treatment dosage or switch to a more effective modality.

The recently launched PIV Assist reportedly offers a variety of features including real-time calculation of the catheter-to-vein ratio and pre-scan differentiation of veins and arteries to facilitate vascular access planning.

Along with the capability of automated measurements and 3D reconstructions of the aorta, Rapid Aortic may facilitate earlier detection of aortic aneurysms and dissections on computed tomography exams.

Incorporating mpMRI radiomics, clinical characteristics, deep learning and pathomic features, a multimodal model offered 82 percent and 87 percent AUCs for predicting overall survival outcomes at five years and seven years, respectively, for women treated with neoadjuvant chemotherapy for breast cancer.

The newly launched Compass AI software platform reportedly facilitates a 94 percent compliance rate for documentation of point-of-care ultrasound (POCUS) exams.

Use of AI provided a pooled 22 percent increase in adenoma detection but no significant impact for advanced adenomas, according to an analysis of 39 randomized controlled trials examining AI’s impact in detecting colorectal cancer.

The launch of the AVI imaging platform reportedly facilitates direct integration into PACS and RS systems, and automated access to adjunctive CT-based AI applications for a variety of conditions including pulmonary embolism, intracranial hemorrhage and large vessel occlusion

Offering a “safety net” in emergency and inpatient settings, the Chest CT software reportedly provides enhanced triage capabilities and adjunctive detection of 167 radiological features.

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

In a recent interview, Hari Kishan Gonuguntla, M.D., discussed AI-powered evaluation of chest X-rays with the Lung Nodule Malignancy Score software and key findings from multinational prospective research presented at the recent ESMO Congress 2025 meeting.