21 citations · 22 across the 8 of their papers we have counts for
9 papers
ReviewPilot: A Multi-Agent System for Screening and Data Extraction in Systematic Reviews
Zhaoqian Xue, Shaoze Zhou, Xuexin Li +10
Systematic literature reviews follow the PRISMA process of screening scholarly works and extracting evidence from included studies. Deep research tools based on large language mode…
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…
Teaching agentic AI to generalize expert diagnostic reasoning in rare diseases
Minh-Ha Nguyen, Erica Gray, Bryce A. Schuler +16
Rare disease diagnosis depends on expert reasoning that is scarce and difficult to transfer. Large language models rank the correct disease first in only 35.4% of benchmark cases a…
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…
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…
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…
Toward satisfactory public accessibility: A crowdsourcing approach through online reviews to inclusive urban design
Lingyao Li, Songhua Hu, Yinpei Dai +9
As urban populations grow, the need for accessible urban design has become urgent. Traditional survey methods for assessing public perceptions of accessibility are often limited in…
A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)
Lingyao Li, Jiayan Zhou, Zhenxiang Gao +8
Electronic Health Records (EHRs) play an important role in the healthcare system. However, their complexity and vast volume pose significant challenges to data interpretation and a…