About this Event
1900 University Avenue, Austin, Texas 78705
The University of Texas System REAL Health AI initiative invites you to register to attend the 2026 UT REAL Health AI Symposium, October 7–8, 2026, at the AT&T Hotel & Conference Center in Austin, Texas, proudly sponsored by The University of Texas at Austin and Dell Medical School. The symposium will be preceded by a CHAI (Coalition for Health AI) pre-conference day on October 6.
Presented in collaboration with CHAI, this year’s symposium will bring together leaders from across the UT System, academia, healthcare, government and industry to explore how AI is transforming healthcare, biomedical research, education and clinical operations.
Nationally recognized experts will address emerging technologies, governance, implementation and the future of trustworthy AI, while fostering collaboration and accelerating the responsible adoption of AI to improve health for all Texans.
We are honored to welcome an outstanding lineup of speakers, including:
Additional keynote speakers and session details will be announced in the coming weeks.
Registration is now open, and we encourage faculty, researchers, clinicians, administrators, students and innovation leaders across the institution to take part in this event.
SUBMIT AN ABSTRACT
We also invite abstract submissions for the symposium’s speaker and poster program highlighting research, innovations and perspectives in AI and healthcare.
Abstracts are due September 10, 2026, and registration fees will be waived for accepted speaker and poster presentations.
Submit an abstract through the 2026 UT REAL Health AI Symposium: Call for Speakers @ Sessionize.com.
Event details:
Full details, including the agenda and additional speaker announcements, will be posted to the official symposium website as they become available: https://www.utsystem.edu/ai-symposium
Your engagement is instrumental to the continued success of REAL Health AI.
We hope you will join us as we showcase innovative work from across The UT System, strengthen collaborations and help shape the future of artificial intelligence in healthcare.
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