309 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National University of SingaporeSG17 papers
- Duke-NUS Medical SchoolSG3 papers
- University Health SystemUS3 papers
- Agency for Science, Technology and ResearchSG2 papers
- Nanyang Technological UniversitySG2 papers
- National Institutes of HealthUS2 papers
- Singapore Eye Research InstituteSG2 papers
- Singapore National Eye CenterSG2 papers
- University of Massachusetts AmherstUS2 papers
- Alexander T. Augusta Military Medical CenterUS1 paper
- Amsterdam UMC Location Vrije Universiteit AmsterdamNL1 paper
- Arizona State UniversityUS1 paper
20 papers
EH-Benchmark Ophthalmic Hallucination Benchmark and Agent-Driven Top-Down Traceable Reasoning Workflow
Xiaoyu Pan, Yang Bai, Ke Zou +5
Medical Large Language Models (MLLMs) play a crucial role in ophthalmic diagnosis, holding significant potential to address vision-threatening diseases. However, their accuracy is…
Endoscopic Depth Estimation Based on Deep Learning: A Survey
Ke Niu, Zeyun Liu, Xue Feng +5
Endoscopic depth estimation is a critical technology for improving the safety and precision of minimally invasive surgery. It has attracted considerable attention from researchers…
From Screens to Scenes: A Survey of Embodied AI in Healthcare
Yihao Liu, Xu Cao, Tingting Chen +7
Healthcare systems worldwide face persistent challenges in efficiency, accessibility, and personalization. Powered by modern AI technologies such as multimodal large language model…
Compilation and Fast Model Counting beyond CNF
Alexis de Colnet, Stefan Szeider, Tianwei Zhang
Circuits in deterministic decomposable negation normal form (d-DNNF) are representations of Boolean functions that enable linear-time model counting. This paper strengthens our the…
High-dimensional point forecast combinations for emergency department demand
Peihong Guo, Wen Ye Loh, Kenwin Maung +6
Current work on forecasting emergency department (ED) admissions focuses on disease aggregates or singular disease types. However, given differences in the dynamics of individual d…
AI Workflow, External Validation, and Development in Eye Disease Diagnosis
Qingyu Chen, Tiarnan D L Keenan, Elvira Agron +35
Timely disease diagnosis is challenging due to increasing disease burdens and limited clinician availability. AI shows promise in diagnosis accuracy but faces real-world applicatio…
Validation Requirements for AI-based Intervention-Evaluation in Aging and Longevity Research and Practice
Georg Fuellen, Anton Kulaga, Sebastian Lobentanzer +4
The field of aging and longevity research is overwhelmed by vast amounts of data, calling for the use of Artificial Intelligence (AI), including Large Language Models (LLMs), for t…
Prospective Prediction of Body Mass Index Trajectories using Multi-task Gaussian Processes
Arthur Leroy, Varsha Gupta, Mya Thway Tint +9
Clinicians often investigate the body mass index (BMI) trajectories of children to assess their growth with respect to their peers, as well as to anticipate future growth and disea…
Efficacy of Wolbachia-mediated sterility to suppress dengue: a synthetic control study
Jue Tao Lim, Somya Bansal, Chee Seng Chong +11
In a study conducted in Singapore, a country prone to dengue outbreaks due to its climate and urban population, researchers examined the effectiveness of releasing male Aedes aegyp…
Harnessing ChatGPT for thematic analysis: Are we ready?
V Vien Lee, Stephanie C. C. van der Lubbe, Lay Hoon Goh +1
ChatGPT is an advanced natural language processing tool with growing applications across various disciplines in medical research. Thematic analysis, a qualitative research method t…
The Road to the Ideal Stent: A Review of Stent Design Optimisation Methods, Findings, and Opportunities
Ankush Kapoor, Nigel Jepson, Neil W. Bressloff +3
Coronary stent designs have undergone significant transformations in geometry, materials, and drug elution coatings, contributing to the continuous improvement of stenting success…
Does Mode of Digital Contact Tracing Affect User Willingness to Share Information? A Quantitative Study
Camellia Zakaria, Pin Sym Foong, Chang Siang Lim +3
Digital contact tracing can limit the spread of infectious diseases. Nevertheless, there remain barriers to attaining sufficient adoption. In this study, we investigate how willing…
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
Feng Xie, Han Yuan, Yilin Ning +5
Objective: Temporal electronic health records (EHRs) can be a wealth of information for secondary uses, such as clinical events prediction or chronic disease management. However, c…
Designing AI-based Conversational Agent for Diabetes Care in a Multilingual Context
Thuy-Trinh Nguyen, Kellie Sim, Anthony To Yiu Kuen +4
Conversational agents (CAs) represent an emerging research field in health information systems, where there are great potentials in empowering patients with timely information and…
Social Behaviour Understanding using Deep Neural Networks: Development of Social Intelligence Systems
Ethan Lim Ding Feng, Zhi-Wei Neo, Aaron William De Silva +6
With the rapid development in artificial intelligence, social computing has evolved beyond social informatics toward the birth of social intelligence systems. This paper, therefore…
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines
Zhaojing Luo, Sai Ho Yeung, Meihui Zhang +7
With the ever-increasing adoption of machine learning for data analytics, maintaining a machine learning pipeline is becoming more complex as both the datasets and trained models e…
Global estimation and scenario-based projections of sex ratio at birth and missing female births using a Bayesian hierarchical time series mixture model
Fengqing Chao, Patrick Gerland, Alex R. Cook +1
The sex ratio at birth (SRB) is defined as the ratio of male to female live births. The SRB imbalance in parts of the world over the past several decades is a direct consequence of…
Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey
Siqi Liu, Kee Yuan Ngiam, Mengling Feng
Owe to the recent advancements in Artificial Intelligence especially deep learning, many data-driven decision support systems have been implemented to facilitate medical doctors in…
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser +41
Quantification of cerebral white matter hyperintensities (WMH) of presumed vascular origin is of key importance in many neurological research studies. Currently, measurements are o…
Medical Concept Embedding with Time-Aware Attention
Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam +3
Embeddings of medical concepts such as medication, procedure and diagnosis codes in Electronic Medical Records (EMRs) are central to healthcare analytics. Previous work on medical…