• Login
    Search 
    •   MINDS@UW Home
    • MINDS@UW Eau Claire
    • Search
    •   MINDS@UW Home
    • MINDS@UW Eau Claire
    • Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Use filters to refine the search results.

    Now showing items 1-10 of 12

    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
    Thumbnail

    AI in GI : Reducing Colonoscopy Report Review Time and Cognitive Burden for Clinicians and Patients 

    Mau, Brayden; Rolli, Alexandra C. (2025-04)
    This project aims to standardize follow-up recommendations for colonoscopies by leveraging Generative AI and Natural Language Processing (NLP) to analyze colonoscopy and pathology reports. Current follow-up guidelines vary ...
    Thumbnail

    Patterns and Characteristics Unique to AI-Generated and Human-Written Text Responses 

    Smith, Brianna; Diamond, Jacob (2025-04)
    The recent advancements in LLMs and Gen-AI technology, such as ChatGPT, Gemini, and Llamas, have widespread applications. Such AI-based solutions strive to achieve extremely high levels of effectiveness in identifying and ...
    Thumbnail

    A Deeper Look into Attributes for Diabetes Prediction : Understanding the Role of Social Determinants in Diabetes Prediction 

    McCormack, James (2025-04)
    Diabetes Mellitus is a chronic condition affecting millions worldwide, associated with factors like age, body mass index, blood pressure, and social determinants such as income level, education, and healthcare access. This ...
    Thumbnail

    A Review of E-Textiles in Learning Environments 

    Behrendt, Ethan Robert (2025-04)
    The field of electronic textiles (e-textiles) combines digital technology with textile objects, and has applications in fields such as wearable computing, theatrical design, and medicine. Prior work has examined deploying ...
    Thumbnail

    Detecting Stuttering Types using Deep Learning 

    Mau, Brayden (2025-04)
    This website was developed as an educational tool to train students in accurately identifying different types of stuttering. The platform provides audio samples, allowing users to practice distinguishing between various ...
    Thumbnail

    PICARD: Phishing Intelligence Corpus for Artificial Intelligence Research and Defense : A Massive Approach to Informing Artificial Intelligence Phishing Defenses 

    Hagen, Jack; Stoltenburg, Jacob (2025-04)
    The emergence of generative artificial intelligence (AI) has facilitated the creation of targeted, mass-produced, and highly effective phishing messages with unprecedented ease. Unlike previous methods, attackers no longer ...
    Thumbnail

    Integrating U-Net and LLM Agents for Pancreatic Ductal Adenocarcinoma Diagnosis 

    Jerome, William (2025-04)
    This study proposes an AI driven pipeline that combines, pancreas segmentation outcome for Pancreatic Ductal Adenocarcinoma (PDAC) diagnosis with a large language model (LLM) agent to enhance diagnostic and clinical analysis. ...
    Thumbnail

    AI-Detection of Inferior Vena Cava Filters in CT scans 

    Buhrow, Mykle; Nie, Ian (2025-04)
    Artificial Intelligence (AI) agents are transforming healthcare by automating tasks, enhancing diagnostic precision, and enabling personalized care. Our project aims to develop an AI-based system to automate the detection ...
    Thumbnail

    Retrospective Institutional Comparison of Patients Undergoing "On-Pump" Versus "Off-Pump" Coronary Artery Bypass Grafting Using Machine Learning 

    Morehead, Samuel T.; Tapia, Gabriel R. (2025-04)
    Coronary Artery Bypass Grafting (CABG) is the most common form of open-heart surgery in the United States and is performed hundreds of thousands of times annually. This surgery can be performed via on-pump, which utilizes ...
    Thumbnail

    Exploring Machine Learning Models : For IoT Network Intrusion Detection : A Literature Review and Comparative Analysis 

    Hagen, Jack; Strate, Ayden (2025-04)
    The Internet of Things (IoT) encompasses a variety of systems and devices that enable data exchange across networks. With this interleaved connectivity comes an inherent vulnerability to attacks. Traditional intrusion ...
    • 1
    • 2

    Contact Us | Send Feedback
     

     

    Browse

    All of MINDS@UWCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CommunityBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    Discover

    AuthorHagen, Jack (2)Mau, Brayden (2)Behrendt, Ethan Robert (1)Buhrow, Mykle (1)Caterer, Zachary (1)Diamond, Jacob (1)Hopke, Emily (1)Jerome, William (1)Keller, Paige (1)McCormack, James (1)... View MoreSubject
    Department of Computer Science (12)
    Posters (12)Machine learning (8)Artificial intelligence (5)Pancreatic cancer (2)Acute renal failure (1)Authorship -- Technological innovations (1)Automated speech recognition (ASR) (1)Colonoscopy (1)Coronary artery bypass (1)... View MoreDate Issued
    2025 (12)
    Has File(s)
    Yes (12)

    Contact Us | Send Feedback