Imaging is entering a more demanding chapter of digital transformation. AI is no longer a distant promise or a standalone pilot sitting at the edge of the workflow. It is increasingly expected to function like any other clinical capability: dependable, auditable and aligned with patient outcom
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AI is moving from pilots to everyday radiology, improving acquisition, triage, measurement, reporting and workflow. Responsible adoption depends on proven clinical value and safety, radiologist oversight, transparency, fairness and privacy, and governance across the AI lifecycle. Hospitals should1
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As AI tools proliferate in radiology, healthcare leaders face a critical strategic choice: treat AI as scattered point solutions or build it as foundational infrastructure. This article provides a framework for imaging executives to transform AI from pilot projects into sustainable operational ca1
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