Creating a New Kind of Doctor
We recruit and train physician leaders as comfortable taking on systemic challenges in health as caring for individual patients.
Discovery to Impact — Faster
We reward creative thinking and encourage rapid experimentation, using collaborative programs to speed promising research to market.
Improving Care. Improving Health.
We’re here to make health — including health care — better. The end goal is a complete revolution in how people get and stay healthy.
In This Section
More Information
Health in the Landscape of Life
Enabling the healthscape, the ecosystem outside the clinic, requires improving the system to pay for health drivers.
More Information
Meet Dell Med
We’re rethinking the role of academic medicine in improving health — and doing so with a unique focus on our community.
More Information
Make an Appointment Give Faculty Students Alumni Directory

Inaugural UT System AI Symposium in Health Care

Location: UT Southwestern Medical Center

Address: 5323 Harry Hines Blvd., Dallas, Texas 75390 | View Map »

Start Date: Thursday, May 30, 2024 at 12 p.m.

End Date: Friday, May 31, 2024 at 5 p.m.

Contact: Stephen C. Ekker

About the Event

Join colleagues in learning about the latest cutting-edge advancements in artificial intelligence (AI), foster collaborations and facilitate networking opportunities at the Inaugural UT System AI Symposium in Health Care: Unlocking the Future of Artificial Intelligence in Medical Care, Research and Education.

The symposium showcases the latest advancements in AI across research, education and clinical care from UT System investigators. The event serves as a platform to foster strategic collaboration among institutions within UT System and provide valuable networking opportunities for AI researchers.

Register to attend. The $50 registration fee includes participation in both symposium days, breakout refreshments, meals and the opening reception.

The UT Systems AI Symposium in Health Care aims to explore the diverse applications of AI across multiple disciplines, including:

  • AI in basic and discovery science;
  • AI in clinical and population health research;
  • Evolving AI methodologies, including natural language processing, image interpretation, predictive analytic modeling techniques and generative AI;
  • AI and health care delivery, such as cutting-edge technologies for disease diagnosis, predictive analytics, quality monitoring and improvement, and clinical decision support;
  • AI in health system operations that includes communications with patients, charting, care monitoring and billing practices;
  • Evolving roles for AI in medical and graduate education; and
  • AI oversight and ethical AI.

For questions, contact

Keynote Speakers

  • Nigam Shah, MBBS, Ph.D., professor of medicine at Stanford University; chief data scientist for Stanford Health Care
    Topic: AI in health care
  • Peter Stone, Ph.D., Truchard Foundation Chair and David Bruton, Jr. Centennial Professor, Department of Computer Science, The University of Texas at Austin
    Topic: The future of science and technology with AI

Call for Abstracts

Deadline for abstract submission: April 20

Researchers, clinicians, educators, administrators and trainees are invited to submit abstracts related to AI for presentations. Learn more and submit an abstract »

Selected abstracts will be notified in May. All posters and oral presentations will be in person.

In alignment with UT’s Year of AI, signature events, talks and engagement opportunities highlight research and innovation across a range of disciplines and fields. Learn more about UT’s “Year of AI” initiative and other AI news and campus events at