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Deep learning recons reduce contrast and radiation doses in aortic CTA

A new analysis in Academic Radiology dives into the importance of finding balance between reducing radiation exposure while maintaining image quality. 

AI system detects pneumothorax on chest x-rays

A recent analysis of an already CE-marked, AI-based system that identifies pneumothorax on chest radiographs revealed a weak point in what has largely been considered a reliable support tool. 

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The software is the first of its kind to achieve the FDA's approval for detecting, measuring and grading ARIA on MRI scans—a task that is critical in managing the disease. 

Ultrasonography-guided nerve blocks have grown in popularity in recent years, but some are hesitant to adopt the procedure. 

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The new technology shows early potential to make a significant impact on imaging workflows and patient care. 

Richard Heller III, MD, RSNA board member and senior VP of policy at Radiology Partners, offers an overview of policies in Congress that are directly impacting imaging.
 

The two companies aim to improve patient access to high-quality MRI scans by combining their artificial intelligence capabilities.