6 papers
Teaching agentic AI to learn expert reasoning for rare disease diagnosis
Minh-Ha Nguyen, Erica Gray, Bryce A. Schuler +17
Rare disease diagnosis depends on expert reasoning that is scarce and difficult to transfer; off-the-shelf large language models (LLMs) rank the correct disease first in only 35.4%…
Knowledge-augmented Agentic AI for Mental Health Medication Information Seeking
Huizi Yu, Jian Liu, Wenkong Wang +10
Patients increasingly seek medication information online, yet safety knowledge for psychiatric drugs is split between regulatory adverse-event records, which are authoritative but…
LLM-as-a-Judge in Healthcare: A Scoping Analysis of Applications, Methods, and Human Alignment
Lingyao Li, Deyi Li, Chen Chen +9
Large language models (LLMs) are increasingly deployed across healthcare applications, including clinical documentation, diagnostic reasoning, medicine recommendation, and medical…
Patients Speak, AI Listens: LLM-based Analysis of Online Reviews Uncovers Key Drivers for Urgent Care Satisfaction
Xiaoran Xu, Zhaoqian Xue, Chi Zhang +7
Investigating the public experience of urgent care facilities is essential for promoting community healthcare development. Traditional survey methods often fall short due to limite…
Deciphering Scientific Collaboration in Biomedical LLM Research: Dynamics, Institutional Participation, and Resource Disparities
Lingyao Li, Zhijie Duan, Xuexin Li +4
Large language models (LLMs) are increasingly transforming biomedical discovery and clinical innovation, yet their impact extends far beyond algorithmic revolution-LLMs are restruc…
Crowdsourcing-Based Knowledge Graph Construction for Drug Side Effects Using Large Language Models with an Application on Semaglutide
Zhijie Duan, Kai Wei, Zhaoqian Xue +5
Social media is a rich source of real-world data that captures valuable patient experience information for pharmacovigilance. However, mining data from unstructured and noisy socia…