From the 1 of 5 linked papers with an AI index.
5 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
The paper introduces TEDDY, a compact transformer model that learns from pediatric ICD-10 diagnosis histories to predict disease onset and visit timing up to years in advance.
Demonstrating dynamic surface codes
Alec Eickbusch, Matt McEwen, Volodymyr Sivak +204
A remarkable characteristic of quantum computing is the potential for reliable computation despite faulty qubits. This can be achieved through quantum error correction, which is ty…
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…
Survey and Improvement Strategies for Gene Prioritization with Large Language Models
Matthew Neeley, Guantong Qi, Guanchu Wang +9
Rare diseases are challenging to diagnose due to limited patient data and genetic diversity. Despite advances in variant prioritization, many cases remain undiagnosed. While large…