Advancing real-world AI applications through research, innovation, and collaboration at the University of Kentucky.

The Center for Applied Artificial Intelligence (CAAI) at the University of Kentucky, housed within the Institute for Biomedical Informatics (IBI), is dedicated to bridging the gap between the vast potential of Artificial Intelligence and its practical, real-world applications. Our mission is to drive innovation, solve complex problems, and improve outcomes across diverse disciplines, with a significant focus on biomedical informatics, healthcare, and translational science. We aim to support the University of Kentucky's broader mission by applying AI to enhance health outcomes, accelerate research, and contribute to the development of a future-ready workforce.

AI Innovation & Services at CAAI

CAAI develops, curates, and provides access to a suite of cutting-edge AI tools, platforms, and expertise. We empower researchers, clinicians, students, and collaborators by offering:

• CLASSify: An accessible, no-code, web-based platform for machine learning. It enables users to easily train, evaluate, and interpret classification models on tabular data, and includes features for synthetic data generation and model explainability (SHAP).
  • Relevant Paper: CLASSify: A Web-Based Tool for Machine Learning (arXiv:2310.03618)
• LLM Factory: A specialized, customizable, and secure self-service environment designed for leveraging Large Language Models (LLMs) in various research and application development contexts.
• CAT-Talk: A tool focused on "Conversations Decoded, Insights Revealed," likely pertaining to conversational AI analysis, development, or natural language understanding applications.
• SmartState: An innovative system designed for automated research protocol adherence, aiming to improve the efficiency and reliability of clinical studies and other research endeavors.
• Core Research Areas: Beyond these tools, CAAI actively engages in research and development across:
  • Computer Vision
  • Data Science & Advanced Analytics
  • Multi-Modal AI
  • Virtual Agents & Automation
  • AI-Ready Data Trusts
  • Clinical Trial Matching Solutions
  • Natural Language Processing

Discover more about our ongoing work on the CAAI Projects Page and explore technical details and demos on our CAAI Model & Data Hub.

Collaboration & Partnerships

Collaboration is at the heart of CAAI's strategy. We actively build and nurture a diverse network of partners, including:

• Departments, colleges, and centers within the University of Kentucky
• External academic and research institutions
• Industry leaders and innovators
• Individual researchers and clinicians

Our collaborative model includes providing self-service access to our tools, offering expert consultation for bespoke AI projects, and leading transdisciplinary AI initiatives. We are committed to democratizing AI access and empowering our partners to securely and effectively integrate AI into their workflows.

Interested in partnering with us? Please submit a Collaboration Intake Form or get in touch with our team.

Connect, Learn, and Engage

Stay informed and connected with the Center for Applied Artificial Intelligence and AI initiatives at the University of Kentucky:

• CAAI Main Website: caai.ai.uky.edu
• CAAI Model & Data Hub (for technical resources & demos): hub.ai.uky.edu
• GitHub Repository: github.com/uky-caai
• General Inquiries & Contact: ai@uky.edu
• Parent Institute (IBI): Institute for Biomedical Informatics
• University of Kentucky: uky.edu

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This card provides an organizational overview of the University of Kentucky's Center for Applied Artificial Intelligence (CAAI). For detailed information on specific models or tools, please refer to their individual documentation or contact CAAI.