Technology

Facilitating timely triage, the qER-CTA software enables AI assessment of the internal carotid artery and M1 segment of the middle cerebral artery for possible large vessel occlusions (LVOs).

Deep learning assessment of MRI offered a 24 percent higher sensitivity than radiologist interpretation for detecting lymph node metastasis in patients with colorectal cancer, according to a new meta-analysis.

Through the use of a multimodal system, Viz Assist provides generative AI summaries of patient histories that may ehance care coordination and facilitate more timely interventions.

Concordant mammography detection of breast cancer by radiologists and AI had over a threefold higher likelihood of future incidental breast cancer in comparison to positive radiologist assessment and negative AI evaluation, according to new research involving over 82,000 women.

The AI-enabled LungQ® 4 software reportedly offers enhanced segmentation of peripheral airways and estimates of chronic perfusion deficits based on analysis of chest CT scans.

Facilitating timely detection and follow-up management of patients with aortic aneurysms, the PRAEVAorta2 software reportedly enables automated measurement of aortic diameters on computed tomography (CT) scans.

A deep learning AI platform, which incorporated radiomic features including CT attenuation metrics, demonstrated a 93.6 percent AUC for detecting invasive adenocarcinoma on chest CT.

In a study involving over 500 patients, researchers noted that the CT-based AI software led to a 24 percent increase of evaluations for aortic abdominal aneurysms within six months of detection.

The AI-powered Bunkerhill MAC software reportedly facilitates chest CT detection and quantification of mitral annular calcification, which has been linked to higher cardiovascular risk and related mortality.

The AI-powered Viz ACS platform may facilitate improved communication between clinicians and more rapid treatment for cases involving acute coronary syndrome.

In comparison to false positives with unassisted radiologist interpretations of DBT exams, AI-only false positive assessments were associated with a significantly higher total of false-positive findings as well as a 33 percent lower frequency of dense breasts, according to a new study of nearly 3,000 women who had screening DBT exams.

The Mammo Enhance Heart program combines AI detection of breast arterial calcification (BAC) on screening mammography and subsequent follow-up with a local network of cardiologists.

Providing adjunctive AI detection for multiple conditions on CT through a single workflow, the multi-triage platform would be available through Aidoc’s aiOS platform.

While pooled data from 38 studies showed markedly higher sensitivity rates for the use of adjunctive AI for ischemic stroke detection on non-contrast CT exams, researchers noted a high degree of bias and lack of external validation in many of the studies.

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

The new X-ray platform reportedly offers AI-enhanced automation with patient positioning, quality control and image processing.

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

New research suggests the combination of multiparametric dual-energy CT and deep learning image reconstruction for liver metastases detection enables a 45 percent reduction in radiation dosing.

Facilitating increased efficiency in radiation therapy planning, the new Rembra RT and Areta RT computed tomography platforms reportedly offer 4D CT capabilities and image reconstruction speeds up to 106 images per second.

Emphasizing enhanced connectivity, the latest version of the Intelligent Radiation Therapy (iRT) software may facilitate improved workflow efficiencies with the planning, performance and reporting for radiation therapy.

PSMA PET offered 18 percent higher accuracy for detecting biochemical recurrence of PCa in contrast to mpMRI, according to findings from a 67-study meta-analysis.

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

In a recent interview with Diagnostic Imaging, Noa Antonissen, M.D., and Colin Jacobs, Ph.D., discussed new research findings demonstrating robust risk stratification with a CT-based deep learning model for lung nodules as well as a 39.4 percent reduction in false positives in comparison to traditional classification.

The Voluson Performance 18 and 16 ultrasound devices reportedly combine enhanced imaging capabilities with AI-enabled efficiencies.

The AI-powered Tempus Pixel software update provides T1 and T2 inline maps to augment cardiac MRI assessment.