Discover AI in Action at The U

As AI becomes increasingly integrated into healthcare, clinicians need more than technical skills. A recent DBMI workshop gave participants hands-on experience developing AI-powered healthcare solutions while learning how to responsibly evaluate, implement, and apply these emerging technologies in clinical practice.

University of Utah student Teddy Wright is helping map AI's impact on the workforce through research that connects real-world AI capabilities to thousands of occupational tasks, informing policy, education, and workforce planning.

Professor Emeritus J. Michael Dean spent decades advancing pediatric clinical research through the University of Utah's Data Coordinating Center. Now in retirement, he's exploring how AI can help accelerate clinical research, streamline workflows, and support lifelong learning through hands-on experimentation and innovation.

To kick off the fall semester, the College of Architecture and Planning convened faculty, staff, and researchers for a forward-looking conversation on AI and the future of design education. The discussion examined emerging opportunities for teaching and research, the importance of responsible AI, and how diverse disciplinary perspectives can help shape the future of these technologies.

At the July AI at the U Forum, participants explored new AI programs, upcoming events, AI resources, the university's new Bachelor of Science in Artificial Intelligence degree, and emerging opportunities powered by Redtail, Utah's AI supercomputer. The forum highlighted the growing AI ecosystem at the University of Utah and ways for faculty, staff, students, and community members to get involved.

This fall, the AI Leadership Team launches the Crimson AI Challenge, inviting the university community to share impactful AI use cases across research, teaching and learning, and administrative operations. Selected participants will be recognized.

The Build with AI Codex Hackathon brought together an impressive group of innovators who showcased creative, impactful applications of AI across research, healthcare, security, accessibility, and productivity. We were inspired by the technical depth and real-world potential demonstrated in each project, and we're proud to recognize our winners and all participants for their outstanding work.

A student-led conversation about artificial intelligence at the University of Utah is receiving national attention. Featured in the 2026 EDUCAUSE Horizon Report, the Student-Led AI Symposium demonstrates how trust, collaboration, and student voice can strengthen AI literacy and engagement across campus. Discover how this growing initiative is helping build a more connected and informed AI community.

The June 3 AI at the U Forum highlighted practical, approved tools and hands‑on learning opportunities to evolving guidance on responsible use in teaching, research, and operations. Featuring community events, new tools, and ways to get involved.

Digital Learning Technologies is excited to introduce the Fall 2026 AI Foundations Series, a semester-long professional learning opportunity designed for students, staff, and faculty who want to build practical skills with today's most impactful AI tools.

The University of Utah continues to expand its AI ecosystem with the introduction of Google Gemini and NotebookLM. Designed to support productivity, research, and learning, these tools reflect the university’s commitment to providing innovative capabilities within a secure and responsible framework.

The April 8 AI at the U Forum highlighted how artificial intelligence is gaining momentum across campus—from practical, approved tools and hands‑on learning opportunities to evolving guidance on responsible use in teaching, research, and operations. Featuring updates from university leadership and the growing AI community, the forum underscored a shared commitment to making AI more accessible, intentional, and integrated into everyday work and learning.

The School of Environment, Society & Sustainability (ESS) is expanding its leadership in AI-driven environmental and spatial data science through new faculty hires, academic programs, and research investments. With expertise spanning remote sensing, machine learning, and geospatial analytics, ESS supports cutting-edge research on climate impacts, natural hazards, and sustainability challenges. New undergraduate and master’s programs in Spatial Data Science are preparing students with in-demand AI and geospatial skills, reinforcing ESS’s long-term vision for innovation in research and education.

Join our upcoming AI Hackathon, a fast‑paced virtual event where participants from any discipline use AI tools to tackle real‑world problems. In just a few hours, you’ll collaborate, build, and explore how AI can drive practical impact.

Fatemeh Shah Mohammadi’s teams are using large language models to turn messy, unstructured health text into transparent, structured data that clinicians and researchers can trust. Their work enables earlier clinical risk detection and scalable, standardized metadata extraction, improving interoperability, reproducibility, and real‑world health insights.

Dr. Warren Pettine is advancing human-centered AI in mental health care. His work demonstrates how AI can strengthen clinical decision‑making, improve workflows, and support more effective and equitable mental health care.

GARDE-Chat is an AI-powered, no-code platform that enables researchers to build chatbot-based digital health interventions at scale. Developed by Professors Guilherme Del Fiol and Ken Kawamoto, the tool supports rule-based and LLM-driven chatbots and has already powered more than 15 projects—including large trials reaching up to 100,000 patients. By improving access to evidence-based services and helping secure over $35 million in federal funding, GARDE-Chat demonstrates how AI can make healthcare interventions more scalable, effective, and widely accessible.

At the University of Utah’s Utah NeuroRobotics Lab, artificial intelligence is driving breakthrough research in bionic technology. Led by Jacob A. George, the team develops AI-powered prosthetic and assistive devices that restore movement and sensation for individuals with neuromuscular impairments. Their work blends engineering, medicine, and machine learning to create intuitive, life-changing technologies—many of which have already produced compelling patient outcomes and inspired new startup ventures. Through deep interdisciplinary collaboration, the lab is shaping the future of bionics and redefining what’s possible in assistive healthcare.

A multidisciplinary team at the University of Utah is using artificial intelligence and computer vision to develop advanced imaging biomarkers that enhance cancer diagnosis, prognosis, and treatment planning. Led by Beatrice Knudsen, one key research direction focuses on creating computational tissue biomarkers, while the broader team integrates histopathology, radiology, and clinical data into multi-modal algorithms. Supported by major federal grants and cross-department collaboration, this work is advancing precision cancer care and generating impactful publications and training opportunities.

University of Utah Department of Internal Medicine Research Associate Professor George G. Vega Yon and his software development team use agentic AI as a human-guided co-developer to accelerate CDC-funded public health projects. AI assists with coding, testing, and rapid prototyping while researchers remain fully in the loop, enabling faster responses to real-world needs such as measles outbreak modeling.

Jess Tate of the SCI Institute shares about the National Data Platform (NDP), an NSF-funded collaboration designed to transform how researchers access, share, and analyze data. By connecting data sources, tools, and compute resources in a federated ecosystem, NDP makes data more findable, accessible, interoperable, and reproducible (FAIR)—advancing collaborative, scalable, and trustworthy science.