activity
20242026
collaborators

15 papers

cs.CL2026

Teaching LLMs How ICU Physicians Approach Clinical Reasoning Through OMOP-Aligned Retrieval Improves Reasoning Across Clinical Domains

Miguel Contreras, Scott Siegel, Subhash Nerella +30

Clinical decision-making relies on identifying relevant patient information to guide diagnosis and treatment, a challenge that is especially difficult in the data-dense and rapidly…

cs.LG2026

Risk Stratification for ICU Delirium using Pervasive Ambient Sensing Information

Jiaqing Zhang, Sabyasachi Bandyopadhyay, Miguel Contreras +8

Delirium is a common and serious complication in the Intensive Care Unit (ICU), associated with increased morbidity, prolonged hospital stays, and higher healthcare costs. Despite…

cs.CL2026

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction

Jessica Sena, Shesadree Priyadarshani, Miguel Contreras +4

Large language models show promise for clinical prediction, but zero-shot performance on specialized tasks is limited by incomplete domain knowledge, especially for smaller locally…

cs.LG2026

Federated Learning with Multi-Partner OneFlorida+ Consortium Data for Predicting Major Postoperative Complications

Yuanfang Ren, Varun Sai Vemuri, Zhenhong Hu +6

Background: This study aims to develop and validate federated learning models for predicting major postoperative complications and mortality using a large multicenter dataset from…

q-bio.QM2025

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning

Esra Adiyeke, Tianqi Liu, Venkata Sai Dheeraj Naganaboina +10

Traditional methods of surgical decision making heavily rely on human experience and prompt actions, which are variable. A data-driven system generating treatment recommendations b…

cs.HC2025

Human-Centered Development of an Explainable AI Framework for Real-Time Surgical Risk Surveillance

Andrea E Davidson, Jessica M Ray, Yulia Levites Strekalova +2

Background: Artificial Intelligence (AI) clinical decision support (CDS) systems have the potential to augment surgical risk assessments, but successful adoption depends on an unde…