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.
May 23rd 2023
Review the case study and test your knowledge to make the correct diagnosis.
Gleamer's BoneView Gains FDA Clearance for AI-Powered Pediatric Fracture DetectionMarch 15th 2023
The 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.
Autonomous AI Shows Nearly 27 Percent Higher Sensitivity than Radiology Reports for Abnormal Chest X-RaysMarch 7th 2023
In a study of over 1,500 patients, researchers found that an emerging artificial intelligence (AI) modality had significantly higher sensitivity rates for abnormal posteroanterior chest radiographs and critical finding radiographs than radiology reports.
Canon Medical Launches New CT and X-Ray Modalities at ECR 2023March 2nd 2023
The 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-RaysFebruary 7th 2023
In 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 RadiologyFebruary 3rd 2023
From 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 2023
In 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.
Navigating the Radiology Conundrum of Reading X-Rays When Follow-Up Imaging Has Already Been DoneJanuary 30th 2023
When you’re asked to review an X-ray for a patient who already had follow-up imaging, do you consider the results of follow-up imaging or evaluate the X-ray with fresh eyes?
ACR Offers Recommendations for Addressing 'Cost-Prohibitive' IDR Process in RadiologyJanuary 20th 2023
Noting the significant administrative fees for the Independent Dispute Resolution (IDR) process of the No Surprises Act and onerous restrictions that have led to a nearly “non-existent” use of batching of disputed claims in radiology, the American College of Radiology (ACR) has sent formal recommendations to the United States Departments of Health and Human Services, Labor, and Treasury for addressing these issues.
Can Deep Learning Assessment of X-Rays Improve Triage of Patients with Acute Chest Pain?January 18th 2023
In a study involving patients who presented to emergency departments with acute chest pain, a deep learning model demonstrated significantly improved prediction of aortic dissection and all-cause mortality and indicated that additional pulmonary and cardiovascular testing could be deferred in seven times as many patients as suggested by conventional risk factors and testing measures.
Enjoying Quiet Moments Amid the Boilerplate Blather in Radiology ReportingJanuary 16th 2023
Acknowledging the repetitive reality that accompanies productivity incentives and seemingly extraneous verbiage to satisfy certain insurance requirements in radiology, this author has developed an appreciation for filler-free brevity and quiet.
Addressing the Radiological Taffy Pull: Suggestions for Communicating Worklist PrioritiesDecember 26th 2022
In order to alleviate some of the challenges with radiology worklist overload, this radiologist suggests alternative approaches for conveying new imaging requests and priorities.