ROCHESTER, Minn. — Healthcare innovation will be on full display at the Mayo Clinic’s annual AI Research Summit, set to take place June 4-5 in Rochester, Minnesota. The event aims to connect leading experts and explore the rapidly evolving landscape of artificial intelligence in medicine, with a particular focus on how new technologies can generate real-world evidence to improve patient care.
This year’s summit centers on the potential of multi-agent modeling and simulation, a cutting-edge approach to accelerating medical discovery. Researchers are increasingly looking to AI not just to analyze existing data, but to proactively model complex scenarios and predict outcomes, potentially shortening the timeline from research to effective treatment. The AI Research Summit will provide a forum for sharing best practices and fostering collaboration in this emerging field.
“At Mayo Clinic, we are leading the development of AI methods — such as multi‑agent systems and simulation — that allow us to model complex patient scenarios and generate rigorous evidence far faster than traditional approaches,” said Dr. Cui Tao, the Nancy Peretsman and Robert Scully Chair of Artificial Intelligence and Informatics at Mayo Clinic. “These tools are helping us compress what once took years of trials and discovery into months, enabling trustworthy AI solutions that support better decisions and accelerate cures.”
The summit program will delve into a range of topics, including multi-agent clinical intelligence, the use of simulation in healthcare, the development of “virtual twins” for personalized medicine, and multimodal foundation models. A key theme will be translating AI research into practical clinical applications and ensuring that these systems are trustworthy and governable. The event will similarly offer a virtual attendance option, expanding its reach to a global audience.
Keynote Speakers to Address the Future of AI in Healthcare
The 2026 Mayo Clinic AI Research Summit has assembled a distinguished group of keynote speakers to share their insights. Yong Chen, Ph.D., director of the Center for Health AI and Synthesis of Evidence at the Perelman School of Medicine, University of Pennsylvania, will present his function on leveraging AI for evidence generation. Peter Lee, Ph.D., president of Microsoft Research and a Mayo Clinic Trustee, will offer perspectives on the role of large-scale computing and AI in advancing medical research. Micky Tripathi, Ph.D., chief AI implementation officer at Mayo Clinic, will discuss the practical challenges and opportunities of deploying AI solutions within a healthcare system. Yi Qian, vice president of Global Real-World Evidence at Johnson & Johnson, will share insights into the use of real-world data and AI to inform clinical decision-making. Finally, Matt Redlon, senior administrator of the AI Program at Mayo Clinic, will contribute expertise on the implementation and governance of AI initiatives.
Opportunities to Present Research and Contribute to the Field
Researchers, data scientists, students, and clinicians are invited to submit abstracts for presentation at the summit. Accepted abstracts will be considered for three presentation formats: 10-minute lightning talks, poster presentations, and workshops/tutorials. The abstract submission window is open through March 6, 2026. Abstracts selected for top recognition will be published in Mayo Clinic Proceedings: Digital Health, and a subset of presenters may be invited to expand their work into full articles for peer review.
Registration and Early Bird Rates
Early-bird registration for the AI Research Summit is available through April 30, with a rate of $425. A discounted student rate of $300 is available to those currently enrolled in an undergraduate or graduate program. Participants are responsible for covering their own travel and accommodation expenses. Further details and registration information can be found on the event website.
The increasing integration of artificial intelligence into healthcare promises to revolutionize how diseases are diagnosed, treated, and prevented. The Mayo Clinic’s AI Research Summit provides a crucial platform for experts to collaborate, share knowledge, and accelerate the development of these transformative technologies. The summit’s focus on multi-agent systems and simulation represents a significant step toward harnessing the full potential of AI to improve patient outcomes and shape the future of medicine.
Attendees can expect further updates and announcements regarding the summit schedule and speaker lineup on the event website in the coming months. The next key date for prospective presenters is the abstract submission deadline of March 6, 2026.
Learn more about the summit and share your thoughts on the future of AI in healthcare in the comments below.
