2 citations · 4 across the 5 of their papers we have counts for
6 papers
Leveraging LLMs for Structured Data Extraction from Unstructured Patient Records
Mitchell A. Klusty, Elizabeth C. Solie, Caroline N. Leach +8
Manual chart review remains an extremely time-consuming and resource-intensive component of clinical research, requiring experts to extract often complex information from unstructu…
Toward Automated Clinical Transcriptions
Mitchell A. Klusty, W. Vaiden Logan, Samuel E. Armstrong +4
Administrative documentation is a major driver of rising healthcare costs and is linked to adverse outcomes, including physician burnout and diminished quality of care. This paper…
State-Based Automation for Time-Restricted Eating Adherence
Samuel E. Armstrong, Aaron D. Mullen, J. Matthew Thomas +4
Developing and enforcing study protocols is a foundational component of medical research. As study complexity for participant interactions increases, translating study protocols to…
Multi-Modal Machine Learning Framework for Automated Seizure Detection in Laboratory Rats
Aaron Mullen, Samuel E. Armstrong, Jasmine Perdeh +3
A multi-modal machine learning system uses multiple unique data sources and types to improve its performance. This article proposes a system that combines results from several type…
Institutional Platform for Secure Self-Service Large Language Model Exploration
V. K. Cody Bumgardner, Mitchell A. Klusty, W. Vaiden Logan +5
This paper introduces a user-friendly platform developed by the University of Kentucky Center for Applied AI, designed to make large, customized language models (LLMs) more accessi…
CLASSify: A Web-Based Tool for Machine Learning
Aaron D. Mullen, Samuel E. Armstrong, Jeff Talbert +1
Machine learning classification problems are widespread in bioinformatics, but the technical knowledge required to perform model training, optimization, and inference can prevent r…