1 citations · 1 across the 2 of their papers we have counts for
5 papers
Blinded Multi-Rater Comparative Evaluation of a Large Language Model and Clinician-Authored Responses in CGM-Informed Diabetes Counseling
Zhijun Guo, Alvina Lai, Emmanouil Korakas +6
Continuous glucose monitoring (CGM) is central to diabetes care, but explaining CGM patterns clearly and empathetically remains time-intensive. Evidence for retrieval-grounded larg…
FUAS-Agents: Autonomous Multi-Modal LLM Agents for Treatment Planning in Focused Ultrasound Ablation Surgery
Lina Zhao, Zihao Bian, Qingyue Chen +8
Focused Ultrasound Ablation Surgery (FUAS) has emerged as a promising non-invasive therapeutic modality, valued for its safety and precision. Nevertheless, its clinical implementat…
Development and Evaluation of HopeBot: an LLM-based chatbot for structured and interactive PHQ-9 depression screening
Zhijun Guo, Alvina Lai, Julia Ive +5
Static tools like the Patient Health Questionnaire-9 (PHQ-9) effectively screen depression but lack interactivity and adaptability. We developed HopeBot, a chatbot powered by a lar…
Many happy returns: machine learning to support platelet issuing and waste reduction in hospital blood banks
Joseph Farrington, Samah Alimam, Martin Utley +2
Efforts to reduce platelet wastage in hospital blood banks have focused on ordering policies, but the predominant practice of issuing the oldest unit first may not be optimal when…
Large Language Model for Mental Health: A Systematic Review
Zhijun Guo, Alvina Lai, Johan Hilge Thygesen +3
Large language models (LLMs) have attracted significant attention for potential applications in digital health, while their application in mental health is subject to ongoing debat…