44 citations · 71 across the 4 of their papers we have counts for
4 papers
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…
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…
A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography
Roy Schwartz, Hagar Khalid, Sandra Liakopoulos +12
Purpose - To develop and validate a deep learning (DL) framework for the detection and quantification of drusen and reticular pseudodrusen (RPD) on optical coherence tomography sca…