RSNA

Emerging Insights on Improving Radiology Workflows

December 09, 2022

In a recent video interview from the Radiological Society of North America (RSNA) conference, Tessa Cook, MD, PhD discussed new research on automated de-identification in radiology reports and the potential of artificial intelligence (AI) and natural language processing (NLP) to help address time-consuming challenges in the radiology workflow.

Can AI Improve the Consistency of Breast Density Assessment by Radiologists?

December 06, 2022

In a recent video interview, Susan Holley, MD discussed key findings from a large retrospective longitudinal study, presented at the recent Radiological Society of North America (RSNA) conference, which found that an emerging artificial intelligence (AI) model was over 24 percent more consistent than radiologist assessment of breast density.

What BI-RADS Changes Are on the Way for Breast MRI Reporting?

December 02, 2022

In a recent lecture at the Radiological Society of North America (RSNA) conference, Wendy DeMartini, MD, discussed a variety of preliminary proposed changes to the Breast Imaging Reporting and Data System (BI-RADS) for breast magnetic resonance imaging (MRI) examinations.

Can MRI-Based Prostate Cancer Screening be a Viable Alternative to PSA Testing?

December 01, 2022

In what may be the first study to assess the effectiveness of biparametric magnetic resonance imaging (MRI) for prostate cancer screening in a large cohort, researchers found that MRI screening had a significantly lower false positive rate and significantly higher positive predictive values (PPVs) than prostate-specific antigen (PSA)-based screening.

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 Vista.ai (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.

Can Ultra-Low-Dose CT be Effective for Lung Cancer Screening in Current or Past Smokers?

November 29, 2022

Ultra-low-dose computed tomography (ULDCT) may have similar efficacy as low-dose CT (LDCT) for detecting a variety of pulmonary conditions in people with current or past smoking histories, but had poor detection of ground glass opacification lesions, according to a recent prospective study presented at the Radiological Society of North America (RSNA) conference.