AI

In a recent interview, Morris Panner offered his perspective on cultural hurdles to interoperability in health care, emerging trends with enterprise imaging and an answer first approach to integrating AI in radiology.

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.

In a recent interview, Arthy Saravanan, M.D., discussed the recent launch of the Mammo Enhance Heart program from Radiology Partners and its potential impact in facilitating dual screening for breast cancer and cardiovascular risk.

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

In a recent interview, Manisha Bahl, M.D., discussed new research showing significant associations between AI detection and the histologic grade and lymph node status of breast cancer.

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

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.

The updated Heartflow Plaque Analysis software reportedly offers enhanced 3D visualization of plaque type, volume and distribution based on coronary computed tomography angiography (CCTA) imaging.

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.

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

In a recent interview, Zeeshan Shah, M.D., discussed the challenges of addressing rising breast imaging volume amid the radiologist shortage, the potential of emerging AI solutions for bolstering efficient triage and an increasing incidence of breast cancer presentations in younger patients.