Agentic AI in Clinical Data Review: From Possibility to Practice

Clinical data review is under growing pressure as trial complexity increases, data sources multiply and teams continue to rely on fragmented tools, manual listings and programming-dependent processes. These challenges can slow issue detection, limit visibility into review activity and make decisions harder to reproduce and defend.

As agentic AI moves from experimentation into practical use, it is beginning to change how clinical teams interact with data and organize review work. This session will explore how intelligent agents can interpret clinical questions, coordinate multi-step tasks, surface relevant evidence and support follow-up while keeping reviewers in control. It will also examine the importance of transparency, reproducibility, governance and human judgment as these capabilities become part of clinical workflows.

Attendees will gain a practical perspective on where agentic AI can deliver meaningful value today and how it may shape the future of clinical data review and oversight.