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This paper presents a provenance-aware, knowledge-graph-based multi-agent framework that integrates patient narratives from Reddit and WebMD with FDA adverse event reports for nine antidepressants, using an LLM entity-recognition pipeline to achieve high accuracy and enabling traceable safety information for psychiatric medications.
A Penn State study found that AI chatbots like ChatGPT respond to everyday health queries with nearly 76% accuracy, raising concerns about trustworthiness in real-world healthcare applications. The research highlights that AI tools may be best used by physicians rather than patients.