4 papers
Toward an AI Reasoning-Enabled System for Patient-Clinical Trial Matching
Caroline N. Leach, Mitchell A. Klusty, Samuel E. Armstrong +6
Screening patients for clinical trial eligibility remains a manual, time-consuming, and resource-intensive process. We present a secure, scalable proof-of-concept system for Artifi…
Vision Foundry: A System for Training Foundational Vision AI Models
Mahmut S. Gokmen, Mitchell A. Klusty, Evan W. Damron +6
Self-supervised learning (SSL) leverages vast unannotated medical datasets, yet steep technical barriers limit adoption by clinical researchers. We introduce Vision Foundry, a code…
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…
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…