Research
CAAI plays a vital role in AI-driven research, leveraging the latest technologies to accelerate discoveries across disciplines. We develop pipelines for the repeatable and verifiable use of AI across research domains, ensuring applications are both effective and scalable.
Our expertise spans large language models (LLMs), computer vision, and machine learning, among others. Explore this page to learn more about our team’s key research areas and how CAAI affiliates are applying AI in their work.
Explore Our Working Groups
Data Science & Machine Learning
We use AI-driven analysis including forecasting, and classification to transform data into actionable insights. In healthcare and beyond, these techniques improve outcomes, inform decisions, and uncover complex patterns.
Computer Vision
By applying intelligent techniques such as image segmentation, object recognition, and classification, we extract meaningful insights from visual data to enhance diagnostics, inform decisions, and advance research across diverse domains.
Large Language Models (LLMs)
We explore how LLMs can transform research and real-world applications. Our work includes fine-tuning, automating transcription processes, and tailoring AI for diverse applications across domains.
Virtual Agents & Automation
Agentic AI streamlines workflows and automates complex tasks, enhancing efficiency across various industries. Our work focuses on developing intelligent systems that interact with users, adapt to environments or unique domains, and optimize processes.
With over 120 individual collaborators and partnerships across 40+ departments and institutions, CAAI fosters a diverse, collaborative network committed to advancing cutting-edge technology.
Collaborator Spotlight
These innovative groups work alongside CAAI to advance healthcare solutions.
Cancer Research Informatics (CRI) Shared Resource, Markey Cancer Center
Faculty and staff in the CRI Shared Resource are engaged in a variety of AI initiatives. CRI develops and applies AI methods to improve efficiencies in cancer research and data collection workflows. CRI also maintains a large repository of well annotated cancer genomic test results in a Cancer Research Data Commons, accessible through cBioPortal.
Engineering & Innovation in Medicine
A joint student organization focused on applying engineering solutions to medical challenges. Working closely with practicing physicians and collaborating with the CAAI, they develop AI-powered technologies aimed at addressing real-world healthcare problems.
