309 citations
- National University of SingaporeSG4 papers
- University Health SystemUS2 papers
- Agency for Science, Technology and ResearchSG1 paper
- Amsterdam UMC Location Vrije Universiteit AmsterdamNL1 paper
- Arizona State UniversityUS1 paper
- Beijing University of Posts and TelecommunicationsCN1 paper
- Brigham and Women's HospitalUS1 paper
- China University of Petroleum, BeijingCN1 paper
- Daegu Gyeongbuk Institute of Science and TechnologyKR1 paper
- École Pour l'Informatique et les Techniques AvancéesFR1 paper
- Huazhong University of Science and TechnologyCN1 paper
- Institute for Basic ScienceKR1 paper
6 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…
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…
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…
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…
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…