MSBraM: A Multi-scale Self-supervised Brain Foundation Model for Hierarchical EEG Dynamics Learning Electroencephalogram (EEG) signals are complex, containin...
Logic Programming Semantics for Causal Processes explores how the rules used in computer logic programming can be used to model processes that unfold over ti...
Agent-Guided Relational Concept Discovery: Toward Interpretable Surgical Margin Assessment addresses a critical challenge in surgical oncology: using Rapid E...
Unsupervised Consensus-Based Anomaly Detection for Spatiotemporal Malaria Incidence in Ghana This research introduces a new way to monitor malaria in Ghana b...
This research investigates whether using "evidence-sufficiency" prompts—instructions that force a model to check if it has enough information before answerin...
Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation This paper introduces a new framework designed to improve how we label a...
MedFailBench: A Clinician-Built Open-Source Benchmark for Medical AI Safety Boundary Inspection Most existing medical AI benchmarks focus on whether a model...
Demographically-Conditioned Synthetic Medical Images for Bias Mitigation and Bias Detection in Disease Classifiers Medical image classifiers often struggle w...
A Self-Evolving Agent for Longitudinal Personal Health Management Most current health AI systems treat every user interaction as a fresh start, failing to re...
Clinical notes are a goldmine of patient information, but much of this data remains trapped in unstructured text rather than being recorded in standardized f...
