3 citations · 5 across the 6 of their papers we have counts for
6 papers
Extending the Horizon of Early Diagnosis: Lung Cancer Prediction with Vision Transformers
Olivera Kotevska, Ian Goethert, Michael McGee +11
Lung cancer remains a leading cause of cancer-related mortality worldwide, and early diagnosis is critical for improving survival. However, early-stage malignancies can be subtle o…
A Multi-Stage Validation Framework for Trustworthy Large-scale Clinical Information Extraction using Large Language Models
Maria Mahbub, Gregory M. Dams, Josh Arnold +9
Large language models (LLMs) show promise for extracting clinically meaningful information from unstructured health records, yet their translation into real-world settings is const…
HEMERA: A Human-Explainable Transformer Model for Estimating Lung Cancer Risk using GWAS Data
Maria Mahbub, Robert J. Klein, Myvizhi Esai Selvan +12
Lung cancer (LC) is the third most common cancer and the leading cause of cancer deaths in the US. Although smoking is the primary risk factor, the occurrence of LC in never-smoker…
Leveraging Large Language Models to Extract Information on Substance Use Disorder Severity from Clinical Notes: A Zero-shot Learning Approach
Maria Mahbub, Gregory M. Dams, Sudarshan Srinivasan +4
Substance use disorder (SUD) poses a major concern due to its detrimental effects on health and society. SUD identification and treatment depend on a variety of factors such as sev…
Dynamic Q&A of Clinical Documents with Large Language Models
Ran Elgedawy, Ioana Danciu, Maria Mahbub +1
Electronic health records (EHRs) house crucial patient data in clinical notes. As these notes grow in volume and complexity, manual extraction becomes challenging. This work introd…
Question-Answering System Extracts Information on Injection Drug Use from Clinical Notes
Maria Mahbub, Ian Goethert, Ioana Danciu +9
Background: Injection drug use (IDU) is a dangerous health behavior that increases mortality and morbidity. Identifying IDU early and initiating harm reduction interventions can be…