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.
July 25th 2025
The newly launched Definium Pace Select ET X-ray platform reportedly provides increased automation and advanced image processing.
Managing Incidentalomas in Radiology: Embracing Challenges as Opportunities
September 12th 2022Greater imaging utilization has increased the prevalence of incidental findings or incidentalomas, but unclear clinical context and guidelines complicate management. Accordingly, these authors offer a thorough review of the literature and discuss new opportunities for improving interdisciplinary management strategies.
Could the New Stratus Imaging PACS Viewer Help Streamline Radiology Workflows?
September 9th 2022Offering a variety of features to enhance efficiency, bolster security and reduce IT overhead, the cloud-native SaaS platform may help radiologists minimize workflow issues that can impede practices with high imaging volume.
Study: Deep Learning System is Comparable to Radiologist Assessment of Chest X-Rays for Tuberculosis
September 7th 2022Examining imaging data of patients from multiple countries, researchers found that a deep learning system demonstrated higher sensitivity and non-inferior specificity for detecting active tuberculosis on chest radiographs in comparison to nine radiologist reviewers.
Study Suggests AI Improves Chest X-Ray Interpretation
September 2nd 2022Researchers found that stand-alone use of an artificial intelligence (AI) model led to a 24.9 percent increase in sensitivity for diagnosing pulmonary nodules and a 21.4 percent increase in sensitivity for diagnosing pneumonia.
Could AI Enhance Early Detection of COVID-19 on Chest X-Rays?
August 2nd 2022Preliminary research revealed an area under the curve (AUC) of 85 percent for an artificial intelligence (AI) algorithm in diagnosing COVID-19 on initial chest X-rays in comparison to a consensus 71 percent AUC for five radiologists.