The paper sets out a staged framework for clinical validation of AI radiology software using standard diagnostic metrics, reference dataset requirements, and a STARD-based reporting checklist.
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Clinical acceptance of software based on artificial intelligence technologies (radiology)
The paper sets out a staged framework for clinical validation of AI radiology software using standard diagnostic metrics, reference dataset requirements, and a STARD-based reporting checklist.