AI Deployment in Clinical Studies Requires Validation Framework and Governance Structure

Deploying AI in clinical trials faces hurdles from lack of tailored validation frameworks and governance suitable for GxP environments, with different AI types requiring varied validation depth. Regulatory bodies like the FDA have started enforcing compliance through warning letters, emphasising the need for precise context-of-use definitions and layered validation covering orchestration, human review, and model performance.

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