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AN OUTLOOK FOR THE NEXT DECADE IN
AI, MACHINE LEARNING, & HEALTH
Bridging the gap between artificial intelligence and real-world health outcomes, the AI in Health Conference isn’t just about what AI can do—it’s about what AI should do for patient care.
The AI in Health Conference is your opportunity to connect with and learn from researchers, engineers, clinicians, and entrepreneurs at the forefront of artificial intelligence in healthcare and public health. Brought to you by the Ken Kennedy Institute at Rice University, this program will address the current state of artificial intelligence in health and showcase a research-based outlook on the next 10 years.
The AI in Health 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. The intersection of healthcare and artificial intelligence holds potential, unlike any other innovation the medical industry has seen before. Artificial intelligence’s ability to operate and automate tasks at heightened speed, efficiency, and accuracy has already made an impact on day-to-day hospital care and administrative functions.
Sign up for our newsletter to get updates on the 2024 conference, featuring invited speakers, a technical talk program, an exhibit hall, networking receptions, poster presentations, and add-on workshops.
AIHC23 DETAILS
Main Conference Dates: October 10-11, 2023
Add-On Workshop Dates: October 9, 10 & 12, 2023 | Learn More
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RAD Genomics Workshop (October 9)
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Digital Twins in Healthcare + Applying AI/ML to Accelerate Innovation in Healthcare (October 9)
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The Future of Robot-Assisted Nursing (October 10)
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Challenges and Opportunities of AI Entrepreneurship in Healthcare (October 12)
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Team Data Science in Cancer: Bridging People and Perspectives for Progress (October 12)
Venue: BioScience Research Collaborative (BRC) at Rice University | 6500 Main Street, Houston, TX 77030
Early-Bird Registration: Opening Soon
To stay informed about details for the 2024 AI in Health Conference, including announcements about registration and opportunities for participation, sign up for our Data Science Community mailing list.
NETWORKING OPPORTUNITIES
Tuesday's Sponsor Networking Reception will include a specialty wine, cheese, and appetizer selection to complete an evening of connecting with fellow conference attendees and meeting our #AIHC23 sponsors.
The following day will wrap up the AI in Health Conference with a Poster Presentation Reception to showcase exciting research happening in the healthcare space by graduate students and postdocs.
Specialty coffee will be provided all day Tuesday-Wednesday in the exhibit hall for attendees. Networking breaks will also feature a popsicle bar and a donut wall. You don't want to miss out!
AIHC23 KEYNOTE SPEAKERS
Ashura (Shu) Buckley, MD
Director of the Sleep & Neurodevelopment Core,
Intramural Research
Program (IRP), The National
Institute of Mental Health,
NIH
Justin T. Baker, MD, Ph.D.
Scientific Director, McLean Institute for Technology in Psychiatry (ITP)
Director, Laboratory for Functional Neuroimaging & Bioinformatics, McLean Hospital
Assistant Professor of Psychiatry, Harvard Medical School
Fei Wang, Ph.D.
Director, Institute of Artificial
Intelligence for Digital Health;
Associate Professor of
Population Health Science,
Weill Cornell Medicine,
Cornell University
Jeffrey S. Brown, Ph.D.
Chief Scientific Officer,
TriNetX, LLC
Lecturer,
Harvard Medical School
AIHC23 INVITED SPEAKERS
Theodora Chaspari, Ph.D.
Associate Professor
of Computer Science,
Institute of Cognitive Science,
University of Colorado Boulder
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Vladimir Braverman, Ph.D.
Victor E. Cameron Professor
of Computer Science,
Rice University
Xia (Ben) Hu, Ph.D.
Director, Center for Transforming
Data to Knowledge (D2K Lab)
Associate Professor
of Computer Science,
Rice University
Roozbeh Jafari, Ph.D.
Tim and Amy Leach Professor of Electrical & Computer Engineering, Biomedical Engineering, and Computer Science & Engineering, Texas A&M University
David Jaffray, Ph.D.
Chief Technology & Digital Officer
and Senior Vice President;
Professor of Radiation Physics
and Imaging Physics;
Director of IDSO,
UT MD Anderson Cancer Center
Lydia Kavraki, Ph.D.
Noah Harding Professor
of Computer Science,
Rice University;
Director,
The Ken Kennedy Institute
Kristin Kostick-Quenet, Ph.D.
Assistant Professor,
Center for Medical Ethics
and Health Policy,
Baylor College of Medicine
Vicente Ordóñez-Román, Ph.D.
Associate Professor
of Computer Science,
Rice University
Kirsten Ostherr, Ph.D., MPH
Gladys Louise Fox
Professor of English;
Director of Medical Humanities
Research Institute,
Rice University
Michelle Patriquin, Ph.D.
Director of Research
& Senior Psychologist,
The Menninger Clinic
Associate Professor,
Baylor College of Medicine
Laila Rasmy, Ph.D.
Assistant Professor,
McWilliam's School of Biomedical Informatics, Center of AI and
Genome Informatics,
UTHealth Houston
Mya Shiess, MD
Professor in Neurology;
Director of Movement Disorders
and Neurodegenerative
Disease Division,
McGovern Medical School
at UTHealth Houston
Angela Wilkins, Ph.D.
Executive Director,
The Ken Kennedy Institute,
Rice University
Stephen T. Wong, Ph.D.
John S. Dunn Presidential
Distinguished Chair and Professor,
Houston Methodist
TECHNICAL PROGRAM
Accepted abstracts for the 2023 Energy HPC Conference will be asked to deliver a 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.
HEALTH
MONITORING
NLP
MENTAL HEALTH
IMAGING
SLEEP SCIENCE
GENOMICS
HEALTH EQUITY
