6 papers
GraphBEAT: Graph-based Bucketized Event Aggregation Over Time for Early Risk Stratification of Gastrointestinal Cancers
Leo Y. Li-Han, Chris Varghese, Elizabeth B. Habermann +4
Longitudinal electronic health records (EHRs) contain complementary diagnostic and laboratory information about patient health. However, irregularity, sparsity, heterogeneity, and…
Automated Prediction of Postoperative Pancreatic Fistula Using Preoperative Computed Tomography
Ashok Choudhary, Chris Varghese, Leo Y. Li-Han +5
Postoperative pancreatic fistula (POPF) is a serious complication after pancreatic resection, increasing morbidity, hospital stay, and healthcare costs. We present an automatic, en…
Digitally enriching a high-risk population for pancreatic cancer using routine blood-based measures and clinical histories
Chris Varghese, Leo Y. Li-Han, Richa Bisht +10
Earlier detection of pancreatic cancer is key to enabling wider access to curative treatment and reducing cancer deaths; however, screening is presently not viable. Latent digital…
GraD-IBD: Graph Representation Learning from Diagnosis Trajectories for Early Detection of Inflammatory Bowel Disease
Leo Y. Li-Han, Ellen L. Larson, Elizabeth B. Habermann +2
International Classification of Diseases (ICD) is a globally recognized coding system that records diagnostic events during each patient encounter, providing a standardized data fo…
The Daily Dose: Workflow-Integrated Large Language Model Automation for Clinical Summarization and Trial Identification in Radiation Oncology
Jason Holmes, Federico Mastroleo, Mariana Borras-Osorio +17
Objective: To describe the design and early clinical evaluation of The Daily Dose (TDD), an LLM-driven, automated clinical summarization and clinical-trial identification system in…
Synthetic Feature Augmentation Improves Generalization Performance of Language Models
Ashok Choudhary, Cornelius Thiels, Hojjat Salehinejad
Training and fine-tuning deep learning models, especially large language models (LLMs), on limited and imbalanced datasets poses substantial challenges. These issues often result i…