AI is transforming trial monitoring from a reactive process into a proactive, risk-driven discipline. In this episode, ACRO RBQM Working Group members Cris McDavid (Parexel), Shailesh Madel (ICON), and Linda Phillips (IQVIA), come together to examine how artificial intelligence and machine learning can help identify risks and signals faster while humans maintain accountability and oversight.From accelerating the identification of Critical-to-Quality (CtQ) factors and enhancing centralized monitoring to addressing concerns around pushing humans out of the loop, the discussion highlights both the challenges and opportunities ahead. With insights on how AI is already being leveraged to increase operational efficiencies while balancing patient safety and data integrity, this episode offers a glimpse into the future of centralized monitoring. 

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