Skip to Main
ai-symposium-banner-desktop-2560x800.jpg

Inaugural UT System AI Symposium in Health Care

May 30-31, 2024
Thursday, May 30, noon–5 p.m.
Friday, May 31, 8 a.m.–5 p.m.

Join us in person at
Zale Foundation Lecture Hall (D1.600)
5323 Harry Hines Blvd., Dallas, TX 75390
or join us virtually via Zoom.

Register | View Campus Map

About the Symposium

Artificial Intelligence (AI) has the potential to revolutionize biomedical research, health care, and education. However, amid this exciting landscape, there has been a surge in news reports raising concerns that AI is prone to inflated expectations, errors, and biases. The UT System AI Symposium in Health Care aims to bridge the gap between cutting-edge methodology and current day applications. By bringing together researchers, clinicians, educators, and students, we hope to create a collaborative space to:

  1. Explore current AI activities: Learn about the latest AI initiatives and breakthroughs in the health care domain.
  2. Forge new collaborations: Connect with fellow UT System researchers, practitioners, and innovators.
  3. Uncover diverse AI possibilities: Delve into the multifaceted applications of AI in health care.

Join us for an enlightening event where knowledge converges, ideas flourish, and the future of AI-enhanced health care takes shape.

Keynote Speakers

Nigam Shah, M.B.B.S., Ph.D.

Professor of Medicine at Stanford University and Chief Data Scientist for Stanford Health Care

Topic: AI in Health Care

Peter Stone, Ph.D.

Truchard Foundation Chair in Computer Science University Distinguished Teaching Professor in the Department of Computer Science at the University of Texas at Austin

Topic: The Future of Science and Technology with AI

Topics

  • Health System Oversight
  • Role of AI in Health Care
    • AI for Creating Structured Data from Unstructured Notes and Reports
    • AI in Medical Imaging
    • AI in Clinical Risk Prediction
    • AI for Health Systems operations
    • AI in Sensor Data in Medical Treatment or Monitoring
    • Data Security, Privacy, and Federal Learning
    • AI and Health Equity
    • AI Hallucination in Clinical Context
  • AI Methodology & Science
    • Computer Vision
    • Large Language Models
    • AI for Drug Discovery platforms in Genomic and Proteomics
    • Health Care Foundation Model
  • Industry and Academic Partnership
  • One UT Health System AI Collaboration Strategy
    • IT
    • Data
    • Research Collaboration
    • Education

Participating Institutions

  • UT Southwestern Medical Center
  • MD Anderson Cancer Center
  • UT Austin
  • UT Health Houston
  • UT Health San Antonio
  • The University of Texas Medical Branch
  • UT Tyler School of Medicine
  • The University of Texas Rio Grande Valley School of Medicine

Organizing Committee

Registration and Payment

Registration Fee: $50
The registration fee includes participation in both symposium days, breakout refreshments, meals, and opening reception.

Register and Pay

Already registered and need to pay? Pay your registration fee here.

Abstract Submission

The deadline for abstract submissions has passed. Explore our program to delve into the abstracts presented by our poster and oral presenters.

Lodging

Renaissance Dallas Hotel

2222 N. Stemmons Freeway, Dallas, TX 75219-8524
214-631-2222

Please reserve before 5 p.m. CDT on Friday, May 3, 2024, for the reduced group rate.

Reserve Your Room

UT Southwestern has negotiated rates for local hotels. Please mention UT Southwestern when booking to receive the discounted rate.

Aloft Dallas Love Field
2333 West Mockingbird Lane, Dallas, TX, 75235
(214) 358-7575

Courtyard by Marriott
2150 Market Center Blvd., Dallas, TX 75207
(214) 653-1166

Double Tree by Hilton Hotel Dallas – Market Center
2015 Market Center Blvd., Dallas, TX 75207
(214) 741-7481

Holiday Inn Dallas Market Center Love Field
4500 Harry Haines BLVD. Dallas, TX 75219
(214) 219-3333

Sheraton Suites Market Center Dallas
2101 North Stemmons Freeway, Dallas, TX 75207
(214) 747-3000

Contact

UTSystemAISymposium@utsouthwestern.edu questions to UT System AI Symposium.

Back to Top