The Diagnostic Imaging AI (artificial intelligence) focus page provides information, videos, podcasts, and the latest news about product developments, trial results, screening guidelines, and protocol guidance that touch on the development and use of AI across the healthcare continuum.

Can Emerging AI-Guided Software Rein in Scan Times for Cardiac MRI?

December 01, 2022

In a recent video interview, Raymond Y. Kwong, MD, discussed his clinical experience with the (formerly HeartVista) One Click MRI software and recent research, presented at the Radiological Society of North America (RSNA) conference, that revealed a 31 percent decrease in cardiac MRI scan times for patients with cardiomyopathy or structural heart disease.

AI Assessment of 3D Digital Breast Tomosynthesis Images May Help Predict Breast Cancer

November 30, 2022

An emerging artificial intelligence algorithm, developed to estimate volumetric breast density from 3D-reconstructed digital breast tomosynthesis images, could potentially facilitate individual risk assessments for breast cancer.

Enhancing MRI Efficiency and Quality: Can the New SIGNA Experience Have an Impact?

November 29, 2022

Recently launched at the Radiological Society of North America (RSNA) conference, the SIGNA Experience reportedly features synergistic technologies and artificial intelligence (AI) advances that help improve the efficiency and quality of magnetic resonance imaging.

Deep Learning Model Predicts 10-Year Cardiovascular Disease Risk from Chest X-Rays

November 29, 2022

Based on a single existing chest X-ray image, the deep learning model predicts future major adverse cardiovascular events with similar performance to an established risk scoring system and may help identify people for preventive use of statin medication.

Current Insights on AI, Breast Cancer Screening and the FDA

November 08, 2022

In a recently published article, researchers from Yale University discuss the pros and cons of current FDA regulations as they apply to the clearance and use of adjunctive artificial intelligence (AI) software with conventional breast cancer screening modalities such as mammography.

Deep Learning Improves CT Guidance for Revascularization of Coronary Total Occlusions

October 31, 2022

Emerging research revealed that a deep learning model had a nearly twofold increase in successful segmentation and reconstruction of coronary total occlusions (CTOs) on coronary computed tomography angiogram (CCTA) and a 73 percent reduction in post-processing and measurement time in comparison to a conventional manual approach.