5 papers
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 screening 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 indicato…
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…