Artificial intelligence (AI) is reshaping radiology. From accelerating diagnosis to improving workflows, the promise of AI is immense. Yet one truth remains: AI is only as good as the data that powers it.

Radiology sits on a treasure trove of imaging studies, but much of this data exists in fragmented, inconsistent, or incomplete forms. To unlock its potential, it must first be transformed into AI-ready data —data that is standardized, structured, contextualized, and secure.

This transformation doesn’t just enable better algorithms. It fundamentally redefines the value of medical imaging, creating a strategic framework for how healthcare organizations can evolve from raw, siloed data to intelligent, patient-centered insights.

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The AI-Ready Data Value Fra

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