5 citations · 5 across the 4 of their papers we have counts for
4 papers
A Large Language Model Based Pipeline for Review of Systems Entity Recognition from Clinical Notes
Hieu Nghiem, Zhuqi Miao, Hemanth Reddy Singareddy +5
Objective: Develop a cost-effective, large language model (LLM)-based pipeline for automatically extracting Review of Systems (ROS) entities from clinical notes. Materials and Meth…
Large Language Models in Healthcare
Mohammed Al-Garadi, Tushar Mungle, Abdulaziz Ahmed +3
Large language models (LLMs) hold promise for transforming healthcare, from streamlining administrative and clinical workflows to enriching patient engagement and advancing clinica…
Extracting Patient History from Clinical Text: A Comparative Study of Clinical Large Language Models
Hieu Nghiem, Tuan-Dung Le, Suhao Chen +7
Extracting medical history entities (MHEs) related to a patient's chief complaint (CC), history of present illness (HPI), and past, family, and social history (PFSH) helps structur…
Leveraging deep active learning to identify low-resource mobility functioning information in public clinical notes
Tuan-Dung Le, Zhuqi Miao, Samuel Alvarado +3
Function is increasingly recognized as an important indicator of whole-person health, although it receives little attention in clinical natural language processing research. We int…