1 citations · 4 across the 10 of their papers we have counts for
6 papers · 1 filter
Building a Silver-Standard Dataset from NICE Guidelines for Clinical LLMs
Qing Ding, Eric Hua Qing Zhang, Felix Jozsa +1
Large language models (LLMs) are increasingly used in healthcare, yet standardised benchmarks for evaluating guideline-based clinical reasoning are missing. This study introduces a…
Context-Emotion Aware Therapeutic Dialogue Generation: A Multi-component Reinforcement Learning Approach to Language Models for Mental Health Support
Eric Hua Qing Zhang, Julia Ive
Mental health disorders impose a substantial global socioeconomic burden. While large language models (LLMs) offer 24/7, non-judgmental interactions to address this gap, pretrained…
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…
Developing and Evaluating an AI-Assisted Prediction Model for Unplanned Intensive Care Admissions following Elective Neurosurgery using Natural Language Processing within an Electronic Healthcare Record System
Julia Ive, Olatomiwa Olukoya, Jonathan P. Funnell +7
Introduction: Timely care in a specialised neuro-intensive therapy unit (ITU) reduces mortality and hospital stays, with planned admissions being safer than unplanned ones. However…
Clean & Clear: Feasibility of Safe LLM Clinical Guidance
Julia Ive, Felix Jozsa, Nick Jackson +3
Background: Clinical guidelines are central to safe evidence-based medicine in modern healthcare, providing diagnostic criteria, treatment options and monitoring advice for a wide…
LLM Assistance for Pediatric Depression
Mariia Ignashina, Paulina Bondaronek, Dan Santel +2
Traditional depression screening methods, such as the PHQ-9, are particularly challenging for children in pediatric primary care due to practical limitations. AI has the potential…