2 papers
cs.CL2026
Large Language Models for Accurate Medical Chart Abstraction: Enabling Scalable and Secure Artificial Intelligence Deployment in Stroke
Zhusi Zhong, Carl M. Porto, David Hong +13
Medical chart abstraction transforms unstructured clinical narratives into structured variables for research and quality monitoring. We evaluated a prompting-based large language m…
cs.LG2025
Temporal Chunking Enhances Recognition of Implicit Sequential Patterns
Jayanta Dey, Nicholas Soures, Miranda Gonzales +3
In this pilot study, we propose a neuro-inspired approach that compresses temporal sequences into context-tagged chunks, where each tag represents a recurring structural unit or``c…