Most existing AI applications in healthcare remain reactive, primarily responding to clinician queries, flagging abnormalities, or accelerating existing workflows.
Current research into agentic AI explores systems that move beyond assistance to act more proactively. Agentic AI represents a new paradigm: rather than waiting for commands, these systems continuously perceive context, analyze complex information, propose actions, and maintain memory across interactions.
This evolution could ultimately transform AI from a reactive tool into a collaborative system—one that supports clinicians more dynamically, while still requiring rigorous safety testing, validation, and regulatory evaluation.
Agentic AI research focuses on five interconnected pillars that may enable capability, accountability, and safety. Dive deep by downloading this white paper that explores the deployment of agentic AI in healthcare.
