How is clinical AI software validated before adoption?

Validation typically combines the vendor's own published performance data (such as sensitivity and specificity from clinical studies) with independent, site-specific testing on a health system's own patient population and equipment, since performance can vary by setting. Ongoing monitoring after go-live is also standard practice, since model performance can decline over time. See Clinical Validation and How Hospitals Evaluate Clinical AI Vendors.