Knowledge-augmented agent targets safer medication information search

A new cs.AI paper studies knowledge-augmented agentic AI for mental-health medication information seeking. The system is designed to combine regulatory adverse-event data with patient narratives while preserving the difference between authoritative records and lived experience.

That distinction is important in health applications because patient stories can surface useful context but are not validated evidence. Agents that mix those sources carelessly could mislead users about risks or side effects.

The paper points toward safer medical information systems that can retrieve from multiple evidence types while keeping provenance and uncertainty visible.