Diagnostic Imaging's Weekly Scan: January 15-January 21
Catch up on the top radiology content of the past week.
Diagnostic Imaging's Weekly Scan is your chance to catch up on the latest radiology content, from new research and device news to the latest case quizzes and conference reports. Review the slideshow below to see this week's top content:
Click the arrows above to view top radiology content from the past week.
Viz.ai Launches AI-Powered Vascular Imaging Software
The artificial intelligence (AI)-enabled Viz™ Vascular Suite reportedly allows automated detection of vascular conditions, shown on computed tomography (CT) and other imaging modalities, and facilitates timely triage among interdisciplinary teams. READ MORE
Nine Takeaways from New Article Examining Health Equity in the Radiology Field
In a provocative new article, radiology researchers discuss the impact of social determinants of health (SDoH) upon access to care and patient outcomes, and present strategies within the realms of radiology education, research, clinical care, and innovation that may help mitigate health-care disparities. READ MORE
Can Deep Learning Assessment of X-Rays Improve Triage of Patients with Acute Chest Pain?
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. READ MORE
Can Multimodal AI Improve Cancer Detection in Dense Breasts?
Emerging research suggests combined artificial intelligence (AI) assessment of digital mammography and automated 3D breast ultrasound provides enhanced detection of breast cancer in women with dense breasts and may be a viable alternative in areas where radiologists are scarce. READ MORE
ACR Offers Recommendations for Addressing 'Cost-Prohibitive' IDR Process in Radiology
Noting the significant administrative fees for the Independent Dispute Resolution (DR) 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. READ MORE
