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What is X-ray report pre-fill and how does it clarify X-ray communication
AI-assisted reporting, and particularly X-ray report pre-fill, is designed to address these communication gaps that quietly challenge radiologists every day. In this blog, we’ll cover why pre-fill reporting is gaining traction and share some practical examples of how healthcare centers are already deploying AZmed’s tools to reduce their manual workload.

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AZmed Introduces AZnod, the First CT Solution in the Rayscan® AI Suite
AZmed, one of the leading companies in artificial intelligence (AI) for radiology, announced today the CE marking of AZnod, its first AI tool for computed tomography (CT) within the new Rayscan® product line. This expansion complements AZmed’s existing Rayvolve® AI Suite, extending the company’s portfolio beyond standard X-rays to include advanced CT-based analysis.

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How to evaluate FDA- or CE-Cleared AI for routine radiography
FDA clearance and CE marking are both essential for market access and regulatory compliance of AI radiology tools. These evaluations confirm that a device is safe, performs as intended, and complies with required quality standards. Yet, in practice, these approvals tell only half the story. That’s because they don’t guarantee that the AI tool will fit into your workflow, be used by your radiologists, and give you a good ROI. So the real question is no longer “Is it cleared?” but “Does it work in my practice, for my patients, with my team?” In this blog, we’ll cover what these approvals mean and five things to consider when evaluating FDA or CE-marked AI tools. We’ll also highlight how tools within the Rayvolve® AI Suite meet these expectations while also making sure they perform well in real-world settings.
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