11 papers · 1 filter
A Rubric-Guided Large Language Model Solution for Opioid Use Disorder Computable Phenotyping
Mengxian Lyu, Paredes Pardo, Cheng Peng +7
Opioid use disorder (OUD) remains a public health crisis in the United States, yet it is difficult to identify from electronic health records (EHRs) because missing diagnosis codes…
An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer
Mengxian Lyu, Cheng Peng, Tim Jang +18
Treatment planning in precision oncology requires synthesizing heterogeneous patient information with rapidly evolving clinical guidelines to ensure guideline-concordant care. Whil…
Prompt, Plan, Extract: Zero-Shot Agentic LLMs Workflows for Lung Pathology Extraction from Clinical Narratives
Aman Pathak, Cheng Peng, Mengxian Lyu +8
Information extraction from pathology reports is essential for cancer staging, tumor registry population. Yet key data remains embedded in narrative reports, making manual extracti…
Retrieval-Augmented LLMs for Evidence Localization in Clinical Trial Recruitment from Longitudinal EHR Narratives
Ziyi Chen, Mengxian Lyu, Cheng Peng +1
Screening patients for enrollment is a well-known, labor-intensive bottleneck that leads to under-enrollment and, ultimately, trial failures. Recent breakthroughs in large language…
Detecting HIV-Related Stigma in Clinical Narratives Using Large Language Models
Ziyi Chen, Yasir Khan, Mengyuan Zhang +7
Human immunodeficiency virus (HIV)-related stigma is a critical psychosocial determinant of health for people living with HIV (PLWH), influencing mental health, engagement in care,…
Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models
Mengxian Lyu, Cheng Peng, Ziyi Chen +3
Automatic summarization of radiology reports is an essential application to reduce the burden on physicians. Previous studies have widely used the "pre-training, fine-tuning" strat…