805 citations
- University College LondonGB11 papers
- University of EdinburghGB9 papers
- King's College LondonGB7 papers
- South London and Maudsley NHS Foundation TrustGB5 papers
- The Alan Turing InstituteGB5 papers
- Universitat de BarcelonaES5 papers
- University of OxfordGB5 papers
- UCL Biomedical Research CentreGB4 papers
- Barts Health NHS TrustGB3 papers
- Centro de Investigación Biomédica en Red de Salud MentalES3 papers
- Janssen (United States)US3 papers
- KU LeuvenBE3 papers
29 papers
Beyond Flickering: Introducing Code-Modulated Motion Visual Evoked Potentials for Brain-Computer Interfacing
Hanneke Scheppink, Rainer Herpers, Jordy Thielen +1
This study presents a novel code-modulated motion visual evoked potential (c-MVEP) paradigm for brain-computer interfacing (BCI). To avoid the visual discomfort and fatigue associa…
Unlocking Electronic Health Records: A Hybrid Graph RAG Approach to Safe Clinical AI for Patient QA
Samuel Thio, Matthew Lewis, Spiros Denaxas +1
Electronic health record (EHR) systems present clinicians with vast repositories of clinical information, creating a significant cognitive burden where critical details are easily…
ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration
Zixiang Wang, Yinghao Zhu, Huiya Zhao +9
We introduce ColaCare, a framework that enhances Electronic Health Record (EHR) modeling through multi-agent collaboration driven by Large Language Models (LLMs). Our approach seam…
Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories
Tianlong Wang, Xianfeng Jiao, Yinghao Zhu +6
Recent studies have indicated that Large Language Models (LLMs) harbor an inherent understanding of truthfulness, yet often fail to consistently express it and generate false state…
A Hybrid Framework with Large Language Models for Rare Disease Phenotyping
Jinge Wu, Hang Dong, Zexi Li +7
Rare diseases pose significant challenges in diagnosis and treatment due to their low prevalence and heterogeneous clinical presentations. Unstructured clinical notes contain valua…
FaceTouch: Detecting hand-to-face touch with supervised contrastive learning to assist in tracing infectious disease
Mohamed R. Ibrahim, Terry Lyons
Through our respiratory system, many viruses and diseases frequently spread and pass from one person to another. Covid-19 served as an example of how crucial it is to track down an…