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Wed, 07 Oct, 2026 at 07:00 am to Thu, 08 Oct, 2026 at 05:00 pm UTC-05:00

UT REAL Health AI Symposium

  • AT&T Hotel and Conference Center · Austin
  • From USD 161.90
The University of Texas System, REAL Health AI Publisher / Host The University of Texas System, REAL Health AI
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UT REAL Health AI Symposium
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Health AI is entering a new age.
About this Event

Join us for an enlightening event where clinicians, health systems, researchers, builders, investors, policymakers, and industry leaders determine what earns trust, adoption, and scale.

This year, we're partnering with Coalition for Health AI (CHAI) to open the week with a dedicated pre-conference on October 6th, setting the stage for two full days of in-depth discussions on October 7th and 8th. Tickets for their event are available here.

Earn up to 13.5 hours of CME/CE credit across eligible sessions during the two-day Symposium.


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About the Symposium

AI is already changing the health landscape. The primary question that emerges from this unprecedented evolution is: how do you earn trust, adoption, and scale?

The UT REAL Health AI Symposium brings the people answering that question into one room:

  • The clinicians deciding what they will use,
  • The health systems addressing what they will fund and govern,
  • The researchers producing the evidence,
  • The builders creating the tools,
  • The investors placing the capital, and
  • The policymakers writing the guardrails.

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A Rare Environment of Possibilities

The University of Texas System is the largest university system in Texas and one of the nation’s largest health systems. Across 13 institutions, UT-owned and affiliated hospitals and clinics recorded nearly 11.7 million outpatient visits in the latest reported year. The UT REAL Health AI Symposium convenes the people who decide the future of health AI in Texas.

This is your opportunity to join this critical moment.


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Continuing Education Credit

Up to 13.5 hours of continuing education credit are available across eligible sessions over the full two-day Symposium, including:

  • AMA PRA Category 1 Credits™
  • ANCC Nursing Contact Hour(s)
  • ACPE Contact Hour(s)
  • AAPA Category 1 CME
  • Non-Physician Attendance


The Program at a Glance

The symposium is organized around six program tracks, supported by keynotes, main-stage conversations, panels, workgroups, and concurrent sessions.


Track 1: The Future Patient Journey

The Future Patient Journey

Special Session: Rural Health

Muthu Alagappan, MD, Counsel Health
Tom Lee, MD, Galileo
Jim Weinstein, DO, MS, Senior VP of Microsoft
David Rhew, Global Chief Medical Officer & VP of Healthcare for Microsoft



Track 2: The AI-Enabled Clinician and Care Team

The AI-Enabled Clinician and Care Team, and Next-Generation Care Delivery: Robotics and Sensors

Special Session: AI in Nursing Practice and Patient Care

Main-Stage Keynote

Robert Wachter, MD, University of California, San Francisco

Main-Stage Keynote

Shiv Rao, MD, Abridge

Claudia Lucchinetti, MD, Dean, Dell Medical School, UT Austin
Jose del R. Millan, Ph.D., Texas Robotics, UT Austin



Track 3: The Value of AI

The Value of AI: revenue cycle, prior authorization, staffing, scheduling, throughput, supply chain, CMS, regulatory, payment models, ROI

Kedar Mate, Chief medical officer for Qualified Health
Emre Umucu, A. Dean researcher, UT El Paso
Susan Fenton, Ph.D., UTHealth Houston

Special Session: AI Value Panel

Jack O'Hara, MBA, CEO, Translucent
Jamie Bailey, MBA, Chief Financial Officer, UT Medical Branch
Stephanie Swanson, Chief Financial Officer, UT Southwestern
Omer Sultan, MBA, MD Anderson Cancer Center

Special Session: Fireside Chat on AI Value and Impact

Kevin Schulman, MD, MBA, Stanford
Stephanie Carlton, MBA, Centers for Medicare & Medicaid Services (CMS)
Eric Peterson, MD, UT Southwestern

Special Session: Afternoon Keynote Fireside

Michael Dell, Dell Technologies
Jim Davis, President, UT Austin
Claudia Lucchinetti, MD, Dean, Dell Medical School, UT Austin
Introduction by Peter McCaffrey, MD, UT Medical Branch

Special Session: Investor Panel and Fireside

Jim Breyer, MBA, Breyer Capital
Daniel Nadler, Ph.D., OpenEvidence
Morgan Cheatham, MD, Breyer Capital

Special Session: VC Panel

John Schilling, MD, TPG
Vijay Pande, Ph.D., VZVC Venture Fund
Margaret Malone, Flare Capital
Pat Pace, MD, UTIMCO

Special Session: AI Disruption

Vijay Pande, Ph.D., VZVC Venture Fund
Dan Shoenthal, MD Anderson Cancer Center

Special Session: Future of Robotics (value focus)

Peter Stone, Ph.D., Texas Robotics, UT Austin
Steph Tryphonos, Co.bot, Collaborative Robotics
Hugh Rashid, MD, Navigait
Jeff Cardenas, Apptronik
Dean Zhang, Ph.D., UTHealth Houston



Track 4: Health, Wellness, and Performance

Leveraging AI to Improve Health, Wellness and Performance: "Soft Electronics for Human Sensing and Robotic Care in the AI Age"

Special Session: Digital Twin Panel

Nanshu Lu, Ph.D., UT Austin
Caroline Chung, MD, MD Anderson Cancer Center
Tom Yankeelov, Ph.D., Oden Institute, UT Austin
David Jaffray, Ph.D., MD Anderson Cancer Center



Track 5: From Discovery to Real-World Impact

Special Session: A National Path Forward for Trustworthy Health AI

Jason Funderburk, MD, Office of the National Coordinator for Health IT (ONC)
Brian Anderson, MD, Coalition for Health AI (CHAI)
James Buntrock, Dell Medical School, UT Austin

Special Session: AI Ethics and Social Implications

Craig Watkins, Ph.D., UT Austin
Joel Granoff, Patient Advocate

Special Session: Legal and Compliance

Dennis Char, MD
Monika Bickert, JD
Natalie Ramello, JD, UT Southwestern
Jennifer Kennedy, JD, UT System

Special Session: Government Relations - Shaping AI Policy in Healthcare

Sean Griffin, UT System

Special Session: Workgroup Presentations - Maturity Framework, AIMS, UT-HIP

David Jaffray, Ph.D., Senior VP and Chief Technology and Digital Officer, MD Anderson
Shawn Stapleton, Ph.D., Director of Data Impact & Governance
Claus Jenson, Ph.D., Chief Information Officer, Dell Medical School
ShuRon Green, MBA, Executive Director of UT HIP

Special Session: Workgroup Presentations - UT REAL Health AI Moonshot Awards

Hongfang Liu, Ph.D., Chair, Department of Quantitative and Systems Health Sciences, Dell Medical School

Special Session: Compute, Chips and AI Factories - Building the Infrastructure for the AI-Native Health System

Kelly Gaither, Ph.D., Texas Advanced Computing Center (TACC)
Paul Rad, Ph.D., Dean, UT San Antonio
Peter McCaffrey, MD, UT Medical Branch


Track 6: AI and the Future of Education and Training

Education Track Keynote

Eric Larsen, President, TowerBrook Advisors
Moderator: Nilay Shah, Ph.D., Dell Medical School, UT Austin

AI-Ready Healthcare Education: Building Trust, Skills, and Responsible Practice

Susan Fenton, Ph.D., UTHealth Houston
Susan McBride, Ph.D., UT Tyler
Edward Sankary, MD, UT San Antonio

Business Education and the AI-Ready Workforce

Dean Staats, McCombs School of Business, UT Austin

Special Session: AI Brain Health

Jennifer Bickel, MD, Vice President and Chief Wellness Officer
Jochen Reiser, MD, Ph.D., President, The University of Texas Medical Branch

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Event venue & nearby stays

AT&T Hotel and Conference Center, 1900 University Avenue, Austin, United States

Tickets USD 161.90 to USD 588.73
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