Knowledge-augmented Agentic AI for Mental Health Medication Information Seeking
arXiv:2606.26205v1 Announce Type: new Abstract: Patients increasingly seek medication information online, yet safety knowledge for psychiatric drugs is split between regulatory adverse-event records, which are authoritative but abstract, and patient narratives, which are experience-near but unvalidated. Integrating them without conflating evidence and anecdote is especially consequential in psychiatry, where poorly contextualised information can amplify fear, nocebo responses, and non-adherence.
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Computer Science > Artificial Intelligence arXiv:2606.26205 (cs) [Submitted on 24 Jun 2026] Title:Knowledge-augmented Agentic AI for Mental Health Medication Information Seeking Authors:Huizi Yu, Jian Liu, Wenkong Wang, Lingyao Li, Jiayan Zhou, Zhaoqian Xue, Xiang Li, Xinxin Lin, Zhiying Liang, Zhuoru Wu, Siyuan Ma, Xin Ma, Lizhou Fan View a PDF of the paper titled Knowledge-augmented Agentic AI for Mental Health Medication Information Seeking, by Huizi Yu and 12 other authors View PDF HTML (experimental) Abstract:Patients increasingly seek medication information online, yet safety knowledge for psychiatric drugs is split between regulatory adverse-event records, which are authoritative but abstract, and patient narratives, which are experience-near but unvalidated.
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