Diagnosis Commons^™

Quality Improvement To Optimize Pediatric Mri Efficiency In Hospitalized Patients:Improving The Ordering Process And Reducing Time To Mri Completion, Andrew Stack, John Adent, Eric Shaw

South Atlantic Division GME Research Day 2024

No abstract provided.

An Assessment Of Breast And Cervica Cancer Screening, Diagnosis, And Treatment Services In Western Kenya, Claud Crosby, Hillary Mabeya, Jack Odunga, Carolyne Aluku, James Burke, Eliza Malcom

South Atlantic Division GME Research Day 2024

No abstract provided.

Partial Anomalous Pulmonary Venous Return: To Fix Or Not To Fix?, Akshaj Pole, Jennifer Austin, Amnah Andrabi

North Texas GME Research Forum 2024

Patient is a 56-year-old male with a past medical history of type 2 diabetes, hypertension, prior MVA with chest trauma, and coronary artery disease with 2 prior stents in the obtuse marginal and right coronary artery who was brought to the ED for severe chest pain. Patient was immediately taken to the cath lab for cardiac intervention. Patient was identified to have 90-95% stenosis of his left circumflex but was unable to be stented due to tortuosity of the vessel and tight lesion. Due to patient’s multivessel coronary artery disease and newly diagnosed diabetes, patient was referred to cardiothoracic surgery …

Utility Of Bedside Ultrasound In Identifying Undiagnosed Malpresentation Upon Admission To Labor And Delivery: A Quality Improvement Project, Kristen Daugherty, Gloria Wang, Samantha Mclean, Jeffrey Johnson, Kelly Mosher

Continental, MidAmerica, & Mountain Divisions GME Research Day 2024

No abstract provided.

Comparing Large Language Models Accuracy In Following Interval Surveillance Colonoscopy Guidelines, Olufemi Osikoya, Gregory Brennan

North Texas GME Research Forum 2024

Introduction: Providing pathology results and appropriate recommendations after resection of colon polyps is mandatory. Large language models (LLMs) such as ChatGPT and Google Bard, have shown promise in clinical workflows such as pathology results letters. We tested whether LLMs could provide appropriate surveillance recommendations based on current guidelines from the US multi-society task force for post-colonoscopy follow-up. Methods: Our aim was to compare the accuracy of ChatGPT 3.5, ChatGPT 4, and Google Bard in providing appropriate interval surveillance recommendations. An example prompt being “Write a patient pathology result letter after a colonoscopy with one tubular adenoma polyp (< 10mm) resected. Include recommendations for when the next surveillance colonoscopy should be completed.” Seventeen different post polypectomy surveillance queries and responses were analyzed (correct, partially correct, incorrect) compared to USMSTF guidelines. Results: When …

Classification Of Vaginal Cleanliness Grades Through Surface-Enhanced Raman Spectral Analysis Via The Deep-Learning Variational Autoencoder: Long Short-Term Memory Model, Jia Wei Tang, Xin Ru Wen, Hui Min Chen, Jie Chen, Kun Hui Hong, Quan Yuan, Muhammad Usman, Liang Wang

Research outputs 2022 to 2026

In this study, it is aimed to establish a novel method based on a deep-learning-guided surface-enhanced Raman spectroscopy (SERS) technique to achieve rapid and accurate classification of vaginal cleanliness levels. We proposed a variational autoencoder (VAE) approach to enhance spectral quality, coupled with a deep learning algorithm long short-term memory (LSTM) neural network to analyze SERS spectra produced by vaginal secretions. The performance of various machine learning (ML) algorithms is assessed using multiple evaluation metrics. Finally, the reliability of the optimal model is tested using blind test data (N = 10/group for each cleanliness level). The data quality of the …

Twin Scholarships Of Glycomedicine And Precision Medicine In Times Of Single-Cell Multiomics, Seungyoul Oh, Weijie Cao, Manshu Song

Research outputs 2022 to 2026

Systems biology and multiomics research expand the prospects of planetary health innovations. In this context, this mini-review unpacks the twin scholarships of glycomedicine and precision medicine in the current era of single-cell multiomics. A significant growth in glycan research has been observed over the past decade, unveiling and establishing co- and post-translational modifications as dynamic indicators of both pathological and physiological conditions. Systems biology technologies have enabled large-scale and high-throughput glycoprofiling and access to data-intensive biological repositories for global research. These advancements have established glycans as a pivotal third code of life, alongside nucleic acids and amino acids. However, challenges …

Rapid Analysis Of N-Nitrosamines In Urine Using Ultra High-Pressure Liquid Chromatography-Mass Spectrometry, S. Shinde, K. D. Croft, J. M. Hodgson, C. P. Bondonno

Research outputs 2022 to 2026

N-Nitrosamines, carcinogenic compounds present in dietary and environmental sources and formed endogenously, are believed to be linked with the presence of nitrate and nitrite, both within dietary sources and after intake. To fully evaluate this potential threat to human health, an accurate analytical method to measure N-nitrosamines in biological matrices is necessary. We report a simple, fast, selective mass spectrometry method to detect N-nitrosamines in human urine. Analysis of seven N-nitrosamines, N-nitrosodimethylamine (NDMA), N-nitrosomethylethylamine (NMEA), N-nitrosodiethylamine (NDEA), N-nitrosopiperdine (NPIP), N-nitrosopyrrolidine (NPYR), N-nitrosodi-N-propylamine (NDPA) and N-nitrosodi-N-butylamine (NDBA) in urine was quantitated using Ultra High-Pressure Liquid Chromatography-tandem Mass spectrometry (UHPLC-MS/MS). A Sorbent …

Non-Invasive Monitoring Device For Early Detection Of Breast Cancer Related Lymphedema, Amy Prendergast

Honors Theses and Capstones

Breast Cancer Related Lymphedema (BCRL) is a common co-morbidity in cancer survivors following neoadjuvant therapies such as chemotherapy, radiation, and/or surgery. It is brought about by the disruption in the lymphatic system (think lymph node biopsy) that leads to a buildup of lymphatic fluid in the arm. Current diagnostic strategies for this condition are merely retroactive, and fairly limited in the parameters that are examined to ensure patient well-being long term. We hypothesize that with an approach that mimics bioimpedance spectroscopy analysis, we will be able to provide a clinical support tool that would better determine early stages of lymphedema …

Machine Learning As A Tool For Early Detection: A Focus On Late-Stage Colorectal Cancer Across Socioeconomic Spectrums, Hadiza Galadima, Rexford Anson-Dwamena, Ashley Johnson, Ghalib Bello, Georges Adunlin, James Blando

Community & Environmental Health Faculty Publications

Purpose: To assess the efficacy of various machine learning (ML) algorithms in predicting late-stage colorectal cancer (CRC) diagnoses against the backdrop of socio-economic and regional healthcare disparities. Methods: An innovative theoretical framework was developed to integrate individual- and census tract-level social determinants of health (SDOH) with sociodemographic factors. A comparative analysis of the ML models was conducted using key performance metrics such as AUC-ROC to evaluate their predictive accuracy. Spatio-temporal analysis was used to identify disparities in late-stage CRC diagnosis probabilities. Results: Gradient boosting emerged as the superior model, with the top predictors for late-stage CRC diagnosis being anatomic site, …

Unraveling The Complex Interactions Among Lung Cancer, Copd, Cardiovascular Disease, And Pulmonary Fibrosis: Overlapping Risks, Converging Pathways, And Integrated Care Approaches, Daisy Umutoni, Mayowa Soloman Owolabi, Sakariyau Adio Waheed

Chemistry & Biochemistry Faculty Publications

Background: The coexistence of lung cancer, chronic obstructive pulmonary disease (COPD), cardiovascular disease (CVD), and pulmonary fibrosis poses significant challenges in clinical management due to shared risk factors, overlapping pathogenic mechanisms, and the complexity of co-managing multimorbid conditions. Smoking, environmental exposures, and genetic predispositions are critical shared risk factors, while common molecular mechanisms such as oxidative stress, chronic inflammation, and aberrant tissue remodeling contribute to the pathogenesis of these diseases. This review comprehensively examines the prevalence, shared mechanisms, and clinical implications of these comorbid conditions, emphasizing the importance of integrated management strategies to improve patient outcomes. We further highlight research …

Diagnostic Certainty During In-Person And Telehealth Autism Evaluations, Natasha N. Ludwig, Calliope Holingue, Ji Su Hong, Luther G. Kalb, Danika Pfeiffer, Rachel Reetzke, Deepa Menon

Speech-Language Pathology Faculty Publications

Background

Many diagnostic evaluations abruptly shifted to telehealth during the COVID-19 pandemic; however, little is known about the impact on diagnosis patterns for children evaluated for autism spectrum disorder (ASD). The purpose of this clinical research study was to examine (1) the frequency of diagnoses evaluated beyond ASD; (2) the frequency of diagnoses made, including ASD; and (3) clinician diagnostic certainty for all diagnoses evaluated for children who received an evaluation due to primary concerns about ASD via telehealth during the pandemic compared to those evaluated in person before the pandemic at an ASD specialty clinic.

Methods

The sample included …

Machine-Learning-Enabled Diagnostics With Improved Visualization Of Disease Lesions In Chest X-Ray Images, Md. Fashiar Rahman, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter Mccaffrey, Eric Walser, Scott Moen, Alex Vo, Johnny C. Ho

Mathematics & Statistics Faculty Publications

The class activation map (CAM) represents the neural-network-derived region of interest, which can help clarify the mechanism of the convolutional neural network’s determination of any class of interest. In medical imaging, it can help medical practitioners diagnose diseases like COVID-19 or pneumonia by highlighting the suspicious regions in Computational Tomography (CT) or chest X-ray (CXR) film. Many contemporary deep learning techniques only focus on COVID-19 classification tasks using CXRs, while few attempt to make it explainable with a saliency map. To fill this research gap, we first propose a VGG-16-architecture-based deep learning approach in combination with image enhancement, segmentation-based region …

Clinical Practice Guideline For The Management Of Depression In Primary Care, Estrella Catherine Villarreal

Doctor of Nursing Practice (DNP) Scholarly Projects - Archive

Background: The prevalence of depression poses a significant challenge in primary care, emphasizing the urgent need to address this issue during patient visits. Primary care providers are at the forefront of managing depression, yet they encounter difficulties in screening, diagnosing, assessing, and treating this complex condition. Clinical guidelines serve as valuable tools for primary care providers and practices, offering support in identifying and addressing depression effectively. An evidence-based approach to treating depression in primary care, with a focus on collaborative interventions with behavioral health to enhance depression management for American Indian/Alaskan Native (AI/AN) communities.

Methods: The descriptive analysis was conducted …

Development Of Functional Plasmonic Nanoceria For The Ultrasensitive Detection Of Ebola Glycoprotein, Carissa A. Sutton

Graduate Theses/Dissertations

Infectious diseases have been increasing in both severity and prevalence, leading to increasing economic burdens and health concerns. Ebola hemorrhagic fever is an infectious disease that is both highly communicable and highly fatal. Current detection methods for the virus have high specificity and sensitivity but have long and/or complicated procedures that do not allow for early virus detection in highly affected areas. Compared to the lengthy procedure of reverse transcription-polymerase chain reaction (RT-PCR), real-time RT-PCR is more time-efficient; however, specificity and sensitivity are reduced. Since early detection of the virus is the only way to increase survival rates, sensitive detection …

Delays In Chest Compressions During Ems Cpr: A Retrospective Review Of Cardiac Ultrasound Vs Carotid Views During Ohca, Himanshu Gupta, Ryan Richardson, Casey Patrick, James Seek, Nick Smith, Kevin Crocker, Josh Rasco, Robert Dickson

Gulf Coast Division GME Research Symposium 2024

No abstract provided.

Colon Adenocarcinoma Mimicking Acute Appendicitis In A 28-Year-Old, Bridget Kowalczyk, Edward Pingenot, Vivek Bansal

Gulf Coast Division GME Research Symposium 2024

No abstract provided.

Intracrnial Hemorrhage And Ecg Changes, Negar Niknam, Eric N. Riha, Bushra Bangash, Parshvi Patel, Skantha K. Manjunath, Gnananandh Jayaraman, Ramesh Kesavan, Siva T. Sarva

Gulf Coast Division GME Research Symposium 2024

No abstract provided.

Novel Engineering Approaches For Orthopedic Injury Treatment And Infection Diagnosis, Cynthia Co

Bioengineering Dissertations - Archive

Bioengineering has made significant contributions to the treatment of orthopedic injury through interdisciplinary approaches. Central to these advancements are many orthopedic implants, including anchors and joint replacements, which have been designed to restore mobility. Despite their functional efficacy, these products have limited lifespan and are associated with many complications, such as implant-associated infection. The success of implant design and function, both in the short and long term, is paramount for enhancing patient outcomes and overall well-being. Therefore, my thesis work is dedicated to addressing these critical challenges, aiming to maximize their treatment effect while minimizing the implant-associated complications.

Long-term patient …

Burnout In Athletic Training: Measured By Survey In Most Common Settings For Athletic Trainers, R Johnson Krug, N Sand, S Brooks, T Smith

Clinical Practice in Athletic Training

Introduction: Burnout is a common problem in athletic training, affecting both athletic trainers (ATs) and the athletes they serve. Athletic trainers are responsible for the prevention, diagnosis, and treatment of sports-related injuries. Long work hours, often including evenings and weekends, as well as frequently under pressure to meet the demands of athletes, coaches, and parents. Athletic trainers face numerous stressors that contribute to burnout. These stressors may include heavy workloads, lack of control over their schedules, time pressures, and pressure to produce positive outcomes. Athletic trainers may also experience emotional and physical exhaustion, depersonalization, and a reduced sense of personal …