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Biomedical Engineering and Bioengineering Commons

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Full-Text Articles in Biomedical Engineering and Bioengineering

Knee Articular Cartilage Quantitative Mri Reliability And Left-To-Right And Visit-To-Visit Repeatability In Healthy Subjects Under Compressive Loading, Andrew Borah Jan 2024

Knee Articular Cartilage Quantitative Mri Reliability And Left-To-Right And Visit-To-Visit Repeatability In Healthy Subjects Under Compressive Loading, Andrew Borah

Graduate College Dissertations and Theses

Purpose: Quantitative magnetic resonance imaging (qMRI) metrics, including T1ρ and T2*, exhibit considerable promise as image-based biomarkers to monitor the progression of osteoarthritis and post traumatic osteoarthritis. The potential for tracking disease progression utilizing these metrics may be further enhanced with the joint under loaded conditions, as an abnormal response to loading may contribute to cartilage degeneration. Reliability and repeatability studies for T1ρ and T2* measurements have yielded variable results, compared surgical to non- surgical knees, employed diverse sample regions of interest, and acquired images under traditional non-weight bearing knee conditions. The purposes of this study are to quantify side-to-side …


Bridging Language Barriers In Clinical Screening: Leveraging Large Language Models (Llms) To Generate Bilingual Screening Surveys For Patients With Limited English Proficiency (Plep), Tyler Vandyk Jan 2024

Bridging Language Barriers In Clinical Screening: Leveraging Large Language Models (Llms) To Generate Bilingual Screening Surveys For Patients With Limited English Proficiency (Plep), Tyler Vandyk

Family Medicine Clerkship Student Projects

This study addresses the critical need for accessible clinical screening in communities with a high incidence of Patients with Limited English Proficiency (PLEP). Recognizing the limitations of existing interpreter services and the scarcity of validated translations for standard clinical surveys like PHQ-9 and GAD-7, we developed a novel approach leveraging Large Language Models (LLMs). Our method utilizes GPT-4 to create bilingual versions of these surveys, which are then formatted into printable PDFs via a Python script and LuaLaTeX compiler. The resulting surveys, validated for translation accuracy and cultural competency, are made accessible through a Google repository. Preliminary results demonstrate that …