The Diagnostic Imaging X-ray modality focus page provides information, videos, podcasts, and the latest news about industry product developments, trial results, screening guidelines, and protocol guidance that touch on the use of X-ray across the healthcare continuum, from chest, orthopedic, abdominal imaging, and more.
September 19th 2023
Review the case study and test your knowledge to make the correct diagnosis.
How Radiology Facilities Can Help Reduce Health-Care Associated Infections
July 13th 2023Noting recent double-digit increases in health-care associated infections (HAIs) and potential vulnerabilities in radiology departments, this author emphasizes proactive preventive measures to protect patients and staff.
The Radiologist and the Multitude
July 3rd 2023While it stands to reason that referring physicians would prefer a condensed summary of relevant imaging findings, vagaries with insurers, patients and other possible readers of the radiology report may warrant an inefficient minutiae-cluttered approach.
Gleamer's BoneView Gains FDA Clearance for AI-Powered Pediatric Fracture Detection
March 15th 2023The artificial intelligence (AI)-enabled software, which has a documented 91 percent sensitivity rate for detecting pediatric fractures, is reportedly the first AI fracture detection modality to receive FDA 510(k) clearance for use in the pediatric population.
Canon Medical Launches New CT and X-Ray Modalities at ECR 2023
March 2nd 2023The new launches include the 80/160-slice computed tomography (CT) scanner Aquilion Serve, which allows simultaneous previews of axial, lateral and AP views, and Celex, a multipurpose X-ray system that offers automated and customizable features to help maximize workflow efficiencies.
Study: AI More Than Doubles the Sensitivity Rate for Lung-RADS Category 4 Nodules on Chest X-Rays
February 7th 2023In newly published research, researchers found that an artificial intelligence (AI) computer-aided detection (CAD) system was more than twice as likely as non-AI assessment to diagnose actionable lung nodules on chest X-rays.
Emerging Considerations and Innovations with AI in Radiology
February 3rd 2023From enhanced image quality and workflow efficiencies to an improved patient experience and potential synergies wih enterprise cloud services, artificial intelligence continues to redefine possibilities in radiology.
Can Deep Learning Enhance Pulmonary Nodule Detection on Chest X-Rays?
February 1st 2023In an external validation data set for a deep learning bone-suppressed (DLBS) model, researchers found that adjunctive use of the DLBS model led to a nearly 15 percent increase in sensitivity for detecting pulmonary nodules on chest X-rays in comparison to radiologist assessment.