4 papers
Institution-Specific LLM Prompting Recovers PHI That De-identification Systems and Their Gold Standards Both Miss
Daniel Palacios, Matthew Brady Neeley, Angel Adetomike Otto +6
Secondary use of electronic health records requires de-identification, yet existing systems miss \emph{institutionally situated} protected health information (PHI) such as hospital…
TEDDY: A Pediatric Foundation Model for Risk Forewarning from ICD-Coded Diagnostic Histories
Matthew Brady Neeley, Jorge Botas, Johnathan Jia +5
Pediatric electronic health records capture developmentally structured clinical trajectories, yet their potential for generative healthcare foundation models remains largely unexpl…
LA-MARRVEL: A Knowledge-Grounded, Language-Aware LLM Framework for Clinically Robust Rare Disease Gene Prioritization
Jaeyeon Lee, Lin Yao, Hyun-Hwan Jeong +1
Rare disease diagnosis requires matching variant-bearing genes to complex patient phenotypes across large and heterogeneous evidence sources. This process remains time-intensive in…
ConSol: Sequential Probability Ratio Testing to Find Consistent LLM Reasoning Paths Efficiently
Jaeyeon Lee, Guantong Qi, Matthew Brady Neeley +2
Recent advancements in large language models (LLMs) integrating explicit reasoning, such as OpenAI's o3-mini, DeepSeek-R1, and QWQ-32B, enable smaller models to solve complex tasks…