5 papers
Graph Alignment Topology as an Inductive Bias for Grounding Detection
Paul Landes, Pranav Herur, Adam Cross +1
Large Language Models (LLMs) are optimized to produce distributionally plausible continuations rather than to explicitly verify whether generated propositions are entailed by sourc…
PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning
John Wu, Yongda Fan, Zhenbang Wu +14
Difficulty replicating baselines, high computational costs, and required domain expertise create persistent barriers to clinical AI research. To address these challenges, we introd…
Social Determinants of Health Prediction for ICD-9 Code with Reasoning Models
Sharim Khan, Paul Landes, Adam Cross +1
Social Determinants of Health correlate with patient outcomes but are rarely captured in structured data. Recent attention has been given to automatically extracting these markers…
Enhancing Clinical Models with Pseudo Data for De-identification
Paul Landes, Aaron J Chaise, Tarak Nath Nandi +1
Many models are pretrained on redacted text for privacy reasons. Clinical foundation models are often trained on de-identified text, which uses special syntax (masked) text in plac…
Integration of Large Language Models and Traditional Deep Learning for Social Determinants of Health Prediction
Paul Landes, Jimeng Sun, Adam Cross
Social Determinants of Health (SDoH) are economic, social and personal circumstances that affect or influence an individual's health status. SDoHs have shown to be correlated to we…