Ai-Enhanced Fluorescein Angiography Detection Of Diabetes-Induced Silent Retinal Capillary Dropout And Rna-Seq Identification Of Pre-Symptomatic Biomarkers, Yiyan Peng, Huishi Toh, Dennis Clegg, Peng Jiiang

Biological, Geological, and Environmental Faculty Publications

Objective: Retinal capillary dropout, characterized by acellular capillaries or "ghost vessels," is an early pathological sign of diabetic retinopathy (DR) that remains undetectable through standard clinical imaging techniques until visible morphological changes, such as microaneurysms or hemorrhages, occur. This study aims to develop a non-destructive artificial intelligence (AI)-based method using fluorescein angiography (FA) images to detect early-stage, silent retinal capillary dropout.

Methods: We utilized 94 FA images and corresponding destructive retinal capillary density measurements obtained through retinal trypsin digestion from 51 Nile rats. Early capillary dropout was defined as having an acellular capillary density of >= 18 counts per mm2. …

Fast Mr Imaging: Reducing Sedation And Improving Patient Experience, Hajir Aljumaily

Radiologic Sciences

Purpose To examine the impact of fast magnetic resonance (MR) protocols on sedation requirements, patient tolerance, workflow efficiency, and diagnostic accuracy in musculoskeletal and brain imaging.

Method An integrative literature review was conducted using PubMed, CINAHL, and Google Scholar to identify peer-reviewed, original research articles published between 2019 and 2026. Studies were selected for relevance, human subjects, and outcomes related to sedation, patient experience, or diagnostic effectiveness.

Results Fast MR protocols were consistently associated with reduced sedation use, improved patient comfort, and increased exam completion rates. Workflow efficiency improved due to shorter scan times. Although minor reductions in image quality …

Ai Integration In Radiotherapy Workflows: Emerging Trends And Best Practices, Vi T. Dinh

Radiologic Sciences

Purpose To synthesize current evidence on artificial intelligence (AI) integration in radiotherapy workflows, identify emerging application trends, and examine best practices for clinical implementation.

Method A structured literature review was conducted using PubMed, Scopus, and Google Scholar to identify peer-reviewed studies published between 2015 and 2025. Eligible studies evaluated AI applications in radiotherapy workflows, including segmentation, treatment planning, and clinical decision-making. Findings were synthesized using thematic analysis.

Results Three primary themes emerged: (a) AI-based segmentation improved contouring efficiency and reduced interobserver variability; (b) AI-assisted treatment planning enhanced dose prediction consistency and workflow reproducibility; and (c) workflow integration supported clinical decision-making …

Disengagement And Reconnection: Investigating The Role Of Purpose And Identity Seeking Across Career Stages In Healthcare, Charmel Renee Jeffery

Radiologic Sciences

Purpose To examine the generational purpose gap in healthcare by identifying the psychological and environmental factors underlying early-career disengagement and late-career reconnection.

Method An integrative literature review was conducted using four academic databases. An artificial intelligence (AI)-assisted thematic synthesis was applied to extract and organize findings within a standardized analytic matrix. To ensure accuracy and rigor, all AI-generated outputs were validated against the original source data.

Results Two primary themes emerged. Early-career healthcare workers commonly experienced disengagement associated with destiny beliefs, while later-career professionals demonstrated renewed purpose and resilience despite ongoing stressors.

Discussion The findings revealed a pronounced generational divide …

Ai-Driven Multi-Modal Mr For Precision Oncology, Maneet K. Marwaha

Radiologic Sciences

Purpose To examine the role of artificial intelligence (AI) in multiparametric magnetic resonance (MR) imaging for precision oncology, with a focus on automated tumor segmentation, treatment response prediction, and workflow efficiency.

Method A literature review was conducted to examine current evidence on AI applications in multiparametric MR imaging for oncology. Studies evaluating deep learning models for tumor segmentation, longitudinal imaging analysis, and treatment response prediction were synthesized using a thematic analysis approach.

Results Three primary themes emerged: (a) AI-driven tumor segmentation improved accuracy, reproducibility, and efficiency across multiparametric MR sequences; (b) deep learning models enhanced prediction of treatment response through …

Mr-Linac Technology, Katherine Orellana

Radiologic Sciences

Purpose To examine the clinical advantages of magnetic resonance-guided linear accelerator (MR-Linac) technology in radiation therapy, with a focus on treatment accuracy, adaptive planning, and patient outcomes.

Method A literature review was conducted using peer-reviewed articles identified through The University of Texas MD Anderson Cancer Center Research Medical Library. Studies published between 2022 and 2026 were included if they addressed the clinical advantages of MR-Linac technology. Findings were synthesized using thematic analysis.

Results Three primary themes emerged: (a) superior soft-tissue visualization improved tumor delineation and treatment accuracy; (b) daily adaptive treatment planning and real-time tumor tracking enhanced precision by accounting …

Impact Of Music On Patient Comfort During Mr Scans: A Literature Review, He Yan

Radiologic Sciences

Purpose To investigate the influence of auditory stimuli on patient comfort levels during magnetic resonance (MR) imaging, with particular emphasis on indicators of distress, duration of patient positioning, and utilization of emergency signaling devices.

Method An integrative literature review was undertaken utilizing peer-reviewed research articles sourced from journals within the fields of radiology, music therapy, and clinical practice. A comprehensive search was conducted across databases such as PubMed, ScienceDirect, SpringerLink, and Oxford Academic employing keywords including MR anxiety, music therapy, and patient comfort.

Results The body of literature consistently indicated that auditory stimuli significantly mitigate patient anxiety and distress in …

Quality Improvement Project From Novice-To-Expert: Training Nurse Faculty On Virtual Simulation, Dae'visha Kinniebrew

Doctor of Nursing Practice Projects

Virtual simulation is an evidence-based teaching strategy that enhances student learning; however, inconsistent faculty preparation limits its implementation in nursing education. A needs assessment identified a practice gap, with 70% of nursing faculty reporting no virtual simulation training within the previous 12 months. The purpose of this Doctor of Nursing Practice (DNP) quality improvement (QI) project was to evaluate the effectiveness of a structured non-immersive virtual simulation training program on nursing faculty confidence, perceived competence, and technology readiness in an Associate Degree Nursing (ADN) program. The aim was to improve faculty preparedness to implement non-immersive virtual simulation. A quantitative, quasi-experimental, …

Quality Improvement Project: Experienced Nurse To Novice Adjunct Educator: Bridging The Gap, Karen Liddy

Doctor of Nursing Practice Projects

A formal mentoring program is an effective approach for enhancing mentee satisfaction and self-efficacy and decreasing turnover rates. Although evidence supports the benefits of mentoring, many universities lack formal mentoring programs for adjunct faculty. Utilizing the PDSA framework, this quality improvement Doctor of Nursing Practice (DNP) project executed and evaluated a structured adjunct faculty mentoring program to improve faculty self-efficacy and mentee satisfaction. The project was led by Bandura's Social Cognitive Theory and the Theory of Change and used a pre- and post-test design involving adjunct nursing faculty members with fewer than three years of academic teaching experience. Mentors and …

The Impact Of A Structured Education Program On Artificial Intelligence Use For Nursing Faculty On Teaching Practices, Katy White

Doctor of Nursing Practice Projects

Artificial intelligence (AI) is increasingly integrated into nursing education; however, nursing faculty report inconsistent preparedness, including gaps in AI knowledge and self-efficacy for responsible AI integration. This quality improvement project addressed inconsistent faculty preparedness through an asynchronous AI educational program. The purpose was to address gaps in AI knowledge and self-efficacy, and the aim was to evaluate changes in AI self-efficacy and AI knowledge while supporting AI integration into nursing education. Rogers' Diffusion of Innovations Theory served as the change theory, the Technology Acceptance Model served as the theoretical framework, and the Plan-Do-Study-Act framework guided implementation. A quantitative one-group pretest-posttest …

Restoring Control: How Occupational Therapy Improves Quality Of Life And Pelvic Pain, Taryn Ritchie

Occupational Therapy Doctorate Capstone Posters

This capstone project was completed at PT Solutions Physical Therapy LLC in Lexington, KY. This project focused on women seeking and receiving pelvic health therapy for pelvic pain. The goals the capstone were to increase awareness of pelvic health Occupational Therapy and evaluate the impact of therapy on QoL and participation in ADLs and IADLs. The capstone also aimed to expand knowledge and increase competence of medical professionals and clients regarding pelvic health therapy. Lastly, the capstone intended to create deliverables that can be utilized for education purposes. Pelvic floor dysfunction can cause debilitating symptoms such as pelvic pain, dyspareunia, …

Parents’ Perceptions Of Aai’S Effect On Social Interaction & Communication For Individuals With Asd And/Or Adhd​, Alexis E. Morris, Zeida Gutierrez

Summer 2026 OTD Capstone Symposium

This research study will investigate the impact of animal-assisted interventions (AAI) on social interaction and communication skills of children or young adults formally diagnosed with autism spectrum disorder (ASD) and/or attention-deficit/hyperactivity disorder (ADHD) based on self or parent/caregiver report.

Children with ASD and ADHD experience deficits in communication and social participation that limit engagement in meaningful childhood occupations and peer relationships, highlighting the need for alternative, motivating intervention approaches. Animal-assisted interventions may provide a supportive and engaging environment that promotes emotional regulation, joint attention, and social reciprocity, and communication by enhancing participation in daily occupations.

The hypothesis for this study …

Developing Comprehensive Resources For Caregivers: Facilitating The Transition Of Nicu Patients To Home Care, Taysha M. Gonzalez, Cynthia Haynes

Summer 2026 OTD Capstone Symposium

This doctoral capstone project developed a comprehensive, occupational therapy-informed NICU Caregiver Transition Toolkit to support families as they transition from the neonatal intensive care unit (NICU) to home. The project used clinical observations at the AdventHealth Daytona Beach NICU and AdventHealth Orlando NICU Graduate Clinic, a review of evidence-based literature and existing caregiver education materials, and interdisciplinary collaboration to identify caregiver education needs and guide toolkit development. Educational materials were created in English and Spanish using caregiver-friendly language, visual supports, step-by-step instructions, and QR-code access to digital resources. Draft materials were reviewed by occupational therapists, physical therapists, nurses, and other …

The Measles Serology Initiative: A Quality Improvement Intervention To Increase Provider Compliance With Rubeola Serology Screening, Erika S. Martinez

Doctor of Nursing Practice Final Project Abstract

Purpose

The purpose of this quality improvement (QI) project was to increase provider adherence to Rubeola IgG serology screening during prenatal visits at an outpatient women’s health clinic by 10% from a baseline adherence rate of 63.3%.

Background

Rubeola remains a highly contagious viral infection that poses health risks for nonimmune pregnant patients and their newborns. With increasing Rubeola cases and the importance of identifying immunity status during pregnancy, consistent prenatal screening practices are essential. Baseline data demonstrated inconsistent adherence to Rubeola IgG screening recommendations, highlighting the need for workflow interventions to improve provider compliance.

Methodology

A pre-post QI design …

Reducing Potentially Preventable Emergency Department Visits (Ppvs) Through A Telehealth Intervention In Children With Asthma Within A Managed Care Organization (Mco), Renee A. Roker

Doctor of Nursing Practice Final Project Abstract

Abstract

Purpose:  The purpose of this quality improvement project was to reduce unnecessary ED utilizations among children with asthma enrolled in a Medicaid managed care health plan. The project aimed to improve access to care and enhance asthma self-management.

Background:  Asthma is one of the leading causes of Emergency Department (ED) utilization, among vulnerable populations. Members experience barriers to timely primary and specialist care, contributing to Potentially Preventable ED Visits (PPV) rates. This places managed care organizations (MCOs) at risk for financial penalties if not meeting the Texas PPV benchmark.

Methodology:  Guided by the Chronic Care Model, Lean Six Sigma …

Improving Outpatient Staff Job Satisfaction With Implementation Of Structured Educational Focus Groups Program: A Quality Improvement Project, Breanna Aromire

Doctor of Nursing Practice Final Project Abstract

Purpose

This quality improvement (QI) project aimed to improve self-reported job satisfaction among outpatient pulmonary clinic staff through structured educational focus group sessions using iterative Plan-Do-Study-Act (PDSA) cycles.

Background

Job satisfaction among clinical staff is a key factor in retention, engagement, and quality of care. Outpatient specialty clinics often face workflow constraints that limit opportunities for structured professional development, which may negatively affect staff satisfaction. Educational and team-based interventions have been shown to improve workplace engagement.

Methodology

Six structured educational focus group sessions were conducted over three months, addressing key clinical and workflow topics. Two PDSA cycles guided real-time modification, …

Enhancing Cancer Diagnosis And Treatment Planning Through Multi-Modal Imaging Techniques: A Literature Review, Ngan Kim Le

Radiologic Sciences

Purpose To examine how combining magnetic resonance (MR), computed tomography (CT), and positron emission tomography (PET) enhances clinical outcomes in complex or metastatic cancers, focusing on diagnostic performance, staging accuracy, and effects on treatment decisions.

Method Data were extracted and analyzed using a thematic synthesis approach for this literature review. Key variables included study design, sample size, cancer type, imaging modalities used, and reported diagnostic outcomes such as sensitivity, specificity, and accuracy.

Results The integration of multiple imaging modalities enhanced diagnostic performance, improved differentiation between tumor recurrence and posttreatment changes, and increased detection of occult metastatic disease. Advanced imaging approaches, …

Ai-Enhanced Ct Reconstruction: Effects On Image Quality Across Dose Levels And Implications For Radiation Dose Optimization: A Systematic Review, Matthew R. Alberto

Radiologic Sciences

Purpose To evaluate how deep learning image reconstruction (DLIR) affects diagnostic image quality and noise characteristics at different radiation dose levels and how it influences dose optimization compared with conventional reconstruction methods.

Method A systematic review was conducted using major databases for studies published between 2020 and 2026. Eligible studies assessed DLIR across multiple dose levels, reported radiation dose, included quantitative image quality metrics, and compared DLIR with filtered back projection or iterative reconstruction.

Results Thirty‑seven studies met criteria, and 15 were synthesized. Three themes emerged: (a) DLIR reduced noise by 15–82% and often improved signal-to-noise and contrast-to-noise ratios while …

Reducing Mr Acquisition Times Using Artificial Intelligence: A Systematic Review, Fatin M. Arief

Radiologic Sciences

Purpose To synthesize existing evidence on artificial intelligence (AI) applications for reducing magnetic resonance (MR) imaging acquisition time, evaluate their impact on image quality, and identify challenges in clinical implementation.

Method A systematic literature review was conducted using PubMed, CINAHL, and Scopus including peer reviewed, English-language articles published between 2020 and 2026. Both qualitative and quantitative primary research were eligible and had to be on AI use in MR processes. Findings were analyzed through thematic synthesis, and the quality of each study was appraised using relevant critical appraisal tools.

Results Three major themes emerged: AI methods in MR procedures, perceived …

Impact Of Mr-Linac Technology On Prostate Cancer Treatment Outcomes, Anhdiep P. Tran

Radiologic Sciences

Purpose To evaluate the impact of magnetic resonance-guided linear accelerator (MR-Linac) technology on treatment precision, clinical outcomes, and operational challenges in prostate cancer radiotherapy.

Method A systematic literature review was conducted using PubMed, Scopus, and Google Scholar to identify peer-reviewed studies published between 2018 and 2026. Eligible studies evaluated MR-Linac technology for prostate cancer and reported outcomes related to treatment precision, toxicity, workflow, and clinical effectiveness.

Results Three primary themes emerged: (a) improved treatment precision through superior soft tissue visualization, real-time target tracking, and adaptive radiotherapy; (b) improved clinical outcomes characterized by reduced radiation exposure to organs at risk, decreased …

Gadolinium Deposition Concerns In Magnetic Resonance Imaging, Emily Tran

Radiologic Sciences

Purpose To examine how concerns about gadolinium deposition have influenced the use of macrocyclic versus linear contrast agents in magnetic resonance (MR) practice.

Method A structured literature review was conducted using AI-assisted research tools and academic databases to identify recent peer-reviewed original research articles related to gadolinium deposition and contrast agent use patterns in MR. Only studies published between 2020 and 2026 were included.

Results Recent research confirmed that gadolinium can accumulate in human tissues following contrast-enhanced MR examinations. Multiple studies demonstrated that linear gadolinium-based contrast agents are associated with greater levels of tissue retention compared with macrocyclic agents due …

Impact Of Artificial Intelligence On The Roles And Career Trajectories Of Radiologic Technologists, Carolina Esquivel

Radiologic Sciences

Purpose To examine how artificial intelligence (AI) is influencing the roles, responsibilities, and career trajectories of radiologic technologists by identifying emerging challenges and opportunities associated with AI integration in medical imaging.

Method A systematic literature review was conducted using PubMed and CINAHL to identify peer-reviewed studies published between 2016 and 2026. Eligible studies examined AI applications in medical imaging and their effects on workforce roles, education, collaboration, and professional practice. Findings were synthesized using thematic analysis.

Results Three primary themes emerged: (a) workflow efficiency and protocol optimization through AI-assisted imaging processes; (b) professional skill development and evolving responsibilities related to …

Work-Related Musculoskeletal Disorders In Sonography: Impact On Career Longevity And Evidence-Based Interventions For Workforce Retention, Aileen Gonzalez

Radiologic Sciences

Purpose To synthesize current evidence on work-related musculoskeletal disorders (WRMSDs) among sonographers, examine their impact on career longevity and job satisfaction, and identify leadership-driven interventions that support workforce retention.

Method A scoping review was conducted using PubMed, Google Scholar, and The University of Texas MD Anderson Cancer Center Research Medical Library to identify peer-reviewed studies published between 2020 and 2026. Eligible studies examined WRMSDs in sonographers and reported outcomes related to career longevity, job satisfaction, workplace retention, or injury prevention interventions. Findings were synthesized thematically.

Results Three primary themes emerged: (a) WRMSDs are highly prevalent across sonography specialties and represent …

High-Definition Healing: Investigating Ai-Driven Mr Reconstruction Methods, Jerell R. Jones

Radiologic Sciences

Purpose To analyze recent artificial intelligence (AI)-driven magnetic resonance (MR) reconstruction methods aimed at addressing long acquisition times, image artifacts, and workflow inefficiencies.

Method A systematic literature review was conducted using PubMed, Scopus, and Scopus AI, targeting peer‑reviewed studies published between 2015 and 2026. Search terms included “MRI,” “magnetic resonance imaging,” “artificial intelligence,” “deep learning,” and “machine learning.” Eligible studies included methodology, validation, and review papers. Extracted data included algorithm type, study design, key findings, and limitations. Themes were identified through content analysis and generative AI use.

Results Prominent themes identified were the emergence of generative adversarial networks, advanced neural …

Administrative And Clinical Impacts Of Theranostic Program Expansion In Nuclear Medicine, Karmela Kljajic Pascual

Radiologic Sciences

Purpose To synthesize current evidence on theranostic trials, nuclear medicine clinical workflow models, and organizational readiness, with a focus on how healthcare organizations and medical imaging leaders are adapting to the rapid expansion of theranostic services.

Method A comprehensive search was conducted across Scopus, PubMed, MEDLINE, and Google Scholar. Inclusion criteria required peer‑reviewed articles published between 2002 and 2026 addressing nuclear medicine leadership, theranostic implementation, workflow design, and organizational factors influencing theranostic program development. Exclusion criteria removed editorials, blog posts, and nonpeer‑reviewed sources.

Results Four major themes emerged: workforce and staffing demands, infrastructure and resource requirements, regulatory and administrative pressures, …

Evaluating The Safety Of Mr Exposure For Electronic Devices And Implants: A Literature Review, Molly O'Dowd

Radiologic Sciences

Purpose To review literature examining the factors that determine magnetic resonance (MR) compatibility of electronic implants and wearable devices, including device materials, engineering design, regulatory approval processes, and clinical monitoring requirements.

Method An integrative literature review was conducted using peer-reviewed literature addressing MR safety and device compatibility. Databases searched included PubMed, Wiley Online Library, ScienceDirect, and Google Scholar. Studies were selected based on relevance to MR safety classifications, device design considerations, regulatory labeling, and monitoring requirements.

Results The literature demonstrated that MR compatible devices are engineered and tested to meet regulatory safety standards and approved for use under specific scanning …

Application Of Lean Six Sigma Strategies To Improve Diagnostic Imaging Departmental Performance Metrics: A Literature Review, Obinna Newman Osuji

Radiologic Sciences

Purpose To systematically evaluate the effectiveness of Lean and Six Sigma quality improvement approaches in enhancing diagnostic imaging workflows and departmental financial performance.

Method Literature for this review was retrieved from Scopus, CINAHIL Plus, PubMed, and Healthcare Administration Database in February and March 2026. Empirical studies and literature reviews were included if they addressed the utilization of Lean Six Sigma, Lean, or Six Sigma as a method of quality improvement within a diagnostic imaging departmental setting.

Results Database searches generated 1,624 articles, and 17 were deemed suitable for inclusion in the study. There were four studies that directly measured patient …

Assault Vs. Assistance: Radiologic Technologist Decision-Making When Fall-Risk Patients Decline Assistance, Pamela O'Dowd

Radiologic Sciences

Purpose To explore how radiologic technologists experience and respond to situations involving fall-risk patients who decline assistance during imaging procedures.

Method A cross-sectional survey design was used to collect data from practicing radiologic technologists recruited through the American Society of Radiologic Technologists. Descriptive statistics, including frequencies and percentages, were analyzed using SPSS to summarize participant responses, and a thematic analysis was conducted on open-ended responses.

Results A total of 87 respondents completed the survey. Results indicated that encounters with fall-risk patients who refuse assistance are common in clinical imaging practice. Sixty-three (72.4%) technologists reported having experienced situations in which a …

Magnetic Resonance In Pregnancy: Safety Considerations, Contrast Risks, And Imaging Modality Alternatives, Lizzette Valdez

Radiologic Sciences

Purpose To examine the safety of magnetic resonance (MR) during pregnancy by evaluating fetal outcomes, contrast agent risks, and the comparative roles of MR, ultrasound, and computed tomography (CT) in prenatal imaging.

Method A literature review was conducted using PubMed and peer-reviewed radiology journals to identify studies evaluating MR safety during pregnancy. The review examined fetal and neonatal outcomes following prenatal MR exposure, trimester-specific imaging considerations, risks associated with gadolinium-based contrast agents, and comparisons among MR, ultrasound, and CT.

Results Three primary themes emerged: (a) noncontrast MR demonstrated a strong safety profile with no consistent association with adverse fetal or …

Comparing Ai-Generated And Human-Written Radiology Reports: Evidence From The Literature, Lakenya Webb

Radiologic Sciences

Purpose To evaluate the current evidence comparing artificial intelligence (AI)-generated radiology reports with radiologist-written reports, emphasizing diagnostic accuracy, clinical reasoning, workflow efficiency, and patient safety.

Method A literature review was performed using peer-reviewed articles identified through The University of Texas MD Anderson Cancer Center Research Medical Library. Studies evaluating AI-generated radiology reports were analyzed using AI-assisted thematic synthesis to identify recurring patterns related to report quality, diagnostic performance, and clinical implementation.

Results The literature consistently identified three overarching themes: (a) AI-generated reports demonstrated improvements in structured reporting and factual consistency but exhibited variable diagnostic accuracy; (b) current AI systems had …