Projects – Center for Applied AI Hub

This page is a collection of all projects and posts from across the site.

If you wish to view projects by category, please use the menu to navigate between AI-type.

Clinical Applications Project

Extubation Readiness in Preterm Infants

by Kristen Hankins

on May 15

Clinical Decision Support from Time Series Signal Data Machine learning […]

Nutrition & Public Health Project

CMS Star Quality Investment Optimizer

by Kristen Hankins

on May 15

Supporting Strategic Investments in Healthcare Quality Improvement The Center for […]

Data Science Forecasting Nutrition & Public Health Project

Forecasting Emergency Departmental Arrivals

by Kristen Hankins

on May 15

Applying AI to Support Operational Decision-Making The Emergency Department Prediction […]

Data Science Machine Learning Project Research & Discovery

Multi-Modal ML Framework: Supporting Automated Seizure Detection

by Kristen Hankins

on May 15

Seizure detection in epilepsy research faces significant challenges due to […]

Computer Vision Project Research & Discovery

Self-Supervised Dual-Domain Segmentation for Static and Dynamic Bone Histomorphometry Using LeJEPA

by Kristen Hankins

on May 15

Bone Histopathology Image Analysis: Scaling Annotation for Bone Analysis Traditional […]

Project Research & Discovery

PubMed Literature Agent

by Kristen Hankins

on May 13

Uncovering University of Kentucky Studies that “Meet People Where They […]

Machine Learning Research & Discovery

Brain Research & Diagnostic Platform

by Kristen Hankins

on May 11

Internationally Federated Platform for AI Research and Diagnostics The development […]

Platforms

Forecaster

by Kristen Hankins

on May 11

Evaluating and Exploring Timeseries Data with Machine Learning Time series […]

Capabilities

Agentic AI Applications

by Kristen Hankins

on May 4

Dynamic Task Automation for Data-Driven Systems AI agents are autonomous […]

LLM Project

A Hybrid LLM-Backed Pipeline for Esophageal Test Interpretation

by Kristen Hankins

on May 4

Classifying patient scenarios for esophageal reflux disease using LLMs has […]