155 citations
- University College LondonGB11 papers
- King's College LondonGB5 papers
- South London and Maudsley NHS Foundation TrustGB5 papers
- Health Data Research UKGB4 papers
- Centro de Investigación Biomédica en Red de Salud MentalES3 papers
- Janssen (United States)US3 papers
- KU LeuvenBE3 papers
- LAB University of Applied SciencesFI3 papers
- Lundbeck (Denmark)DK3 papers
- Northwestern UniversityUS3 papers
- Parc Sanitari Sant Joan de DéuES3 papers
- Universitat de BarcelonaES3 papers
11 papers
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…
ProVoice: Designing Proactive Functionality for In-Vehicle Conversational Assistants using Multi-Objective Bayesian Optimization to Enhance Driver Experience
Josh Susak, Yifu Liu, Pascal Jansen +1
The next step for In-vehicle Conversational Assistants (IVCAs) will be their capability to initiate and automate proactive system interactions throughout journeys. However, diverse…
KEVS: Enhancing Segmentation of Visceral Adipose Tissue in Pre-Cystectomy CT with Gaussian Kernel Density Estimation
Thomas Boucher, Nicholas Tetlow, Annie Fung +5
Purpose: The distribution of visceral adipose tissue (VAT) in cystectomy patients is indicative of the incidence of post-operative complications. Existing VAT segmentation methods…
Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction
Xiaowei Gao, Xinke Jiang, Dingyi Zhuang +4
Traffic accidents present substantial challenges to human safety and socio-economic development in urban areas. Developing a reliable and responsible traffic accident prediction mo…
Going faster to see further: GPU-accelerated value iteration and simulation for perishable inventory control using JAX
Joseph Farrington, Kezhi Li, Wai Keong Wong +1
Value iteration can find the optimal replenishment policy for a perishable inventory problem, but is computationally demanding due to the large state spaces that are required to re…
Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis
Shaoxiong Sun, Amos A. Folarin, Yuezhou Zhang +28
A number of challenges exist for the analysis of mHealth data: maintaining participant engagement over extended time periods and therefore understanding what constitutes an accepta…