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AN OUTLOOK FOR THE NEXT DECADE IN
AI, MACHINE LEARNING & HEALTH
The AI in Health Conference bridges the gap between artificial intelligence and real-world health outcomes — focusing not just on what AI can do, but on what it should do to improve patient care.
Hosted by the Ken Kennedy Institute at Rice University, the fourth annual AI in Health Conference will explore the current landscape of artificial intelligence in health and present a research-driven outlook for the future of computational health innovation, highlighting advancements in (1) Robotics and Healthcare, (2) AI for Modern Therapeutics, and (3) AI for Clinical Research. The program is designed to connect researchers and innovators with engineers, clinicians, and entrepreneurs at the forefront of AI in healthcare and public health.
The conference will take place in Houston, home of the largest medical center in the world — the Texas Medical Center — which hosts 60+ member institutions that are visited by 10 million patients each year.
Sign up for our newsletter to get updates on the 2025 conference, featuring invited speakers, a technical talk program, an exhibit hall, networking receptions, poster presentations, and add-on workshops.
AIHC25 DETAILS
Conference + Workshop Dates: September 22-25, 2025
Venue: BioScience Research Collaborative (BRC) at Rice University | 6500 Main Street, Houston, TX 77030
The main conference sessions will take place on September 23-24. In-person workshops will be available on September 22 & 25. Tickets for workshops can be purchased alone or in combination with conference tickets. To stay updated on program announcements, join the conference mailing list.
NETWORKING OPPORTUNITIES
The AI in Health Conference will feature a Sponsor Networking Reception for attendees to meet our #AIHC25 sponsors, along with a Poster Presentation Reception to showcase exciting research happening in the healthcare space by graduate students and postdocs.
2025 INVITED SPEAKERS
Tapo Bhattacharjee
Assistant Professor, Department of Computer Science, Cornell University
Payel Das
Principal Researcher and Manager,
IBM Research AI
Hanjie Chen
Assistant Professor,
Computer Science, Rice University
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George Demiris
Mary Alice Bennett University Professor and Associate Dean for Research and Innovation, School of Nursing, University of Pennsylvania
Stuart Corr
Director of Innovation Engineering
The Bookout Center, Houston Methodist
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B.J. Fregly
Trustee Professor and CPRIT Scholar in Cancer Research, Departments of Mechanical Engineering and Bioengineering, Rice University
Sara Gerke
Associate Professor of Law,
Richard W. & Marie L. Corman Scholar
Associate Professor, European Union Center
University of Illinois Urbana-Champaign
College of Law
Miguel Hernan
Director of CAUSALab,
Harvard University
David S. Jones
Harvard College Professor;
A. Bernard Ackerman Professor of the Culture of Medicine; Faculty of Arts & Sciences and Faculty of Medicine; Professor of Epidemiology, Harvard T.H Chan School of Public Health
Charles Lin
Executive Director, Computational
Translational Target Discovery
Hongfang Liu
Professor & McWilliams Chair of Biomedical Informatics; Director, Center for Translational AI Excellence and Application Medicine;
Vice President, Learning Health System, University of Texas Health Science Center Houston
Alex John London
K&L Gates Professor of Ethics and Computational Technologies,
Carnegie Mellon University
Susan Mockus
AVP of Knowledge Informatics,
Baylor Genetics
Kristin Kostick-Quenet
Assistant Professor,
Center for Medical Ethics and
Health Policy, Baylor College of Medicine
S. Craig Watkins
Ernest A. Sharpe Centennial Professor, Executive Director, IC2 Institute, University of Texas at Austin
Vaibhav Unhelkar
Assistant Professor of
Computer Science, Rice University
TECHNICAL PROGRAM
The call for abstract for the 2025 AI in Health Conference is now open! Accepted abstracts for the conference will be asked to deliver a 15-20 minute presentation, including Q&A, as part of the conference technical program. Technical speakers will highlight algorithms, use-cases, and solutions that support data-driven discovery and decision-making in healthcare and public health for the next decade. The themes for this year's technical program will be determined based on abstract submissions.
