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UT System AI Symposium 2024

The Inaugural UT System AI Symposium in Health Care, hosted at UT Southwestern May 30-31, 2024, challenged attendees to imagine how the transformative capabilities of artificial intelligence could serve as a catalyst for positive change across education, biomedical research, and medical care.

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About the Symposium

Artificial Intelligence (AI) has the potential to revolutionize biomedical research, health care, and education. However, amid this exciting landscape, a surge in news reports raise 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.

Keynote Speakers

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

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.

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

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

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Organizing Committee

Contact

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