48 citations · 128 across the 12 of their papers we have counts for
16 papers
Trajectory-Guided Steering: Mitigating Spurious Feature Bias in Clinical Classification
Fardin Ahsan Sakib, Ziwei Zhu, Ozlem Uzuner
Large language models rely on spurious features in clinical classification: swapping a single gender token in clinical notes alters gender-irrelevant diagnoses in up to 53.5% of ca…
The Model Knows Better: Defending Medical Multi-Agent Systems Against Prompt Injection
Fardin Ahsan Sakib, Ziwei Zhu, Ozlem Uzuner
Medical multi-agent systems, in which LLM agents discuss a case, are increasingly studied for clinical decision support. Prompt injection, text that an attacker adds to a model's i…
LeafAI: query generator for clinical cohort discovery rivaling a human programmer
Nicholas J Dobbins, Bin Han, Weipeng Zhou +5
Objective: Identifying study-eligible patients within clinical databases is a critical step in clinical research. However, accurate query design typically requires extensive techni…
The 2022 n2c2/UW Shared Task on Extracting Social Determinants of Health
Kevin Lybarger, Meliha Yetisgen, Özlem Uzuner
Objective: The n2c2/UW SDOH Challenge explores the extraction of social determinant of health (SDOH) information from clinical notes. The objectives include the advancement of natu…
Leveraging Natural Language Processing to Augment Structured Social Determinants of Health Data in the Electronic Health Record
Kevin Lybarger, Nicholas J Dobbins, Ritche Long +4
Objective: Social determinants of health (SDOH) impact health outcomes and are documented in the electronic health record (EHR) through structured data and unstructured clinical no…
Extracting Medication Changes in Clinical Narratives using Pre-trained Language Models
Giridhar Kaushik Ramachandran, Kevin Lybarger, Yaya Liu +5
An accurate and detailed account of patient medications, including medication changes within the patient timeline, is essential for healthcare providers to provide appropriate pati…