AI Summit

Why host an AI summit?

Digital transformation has brought a paradigm shift to health care, powered by increasing availability of health care data and rapid progression of analytics techniques, including machine learning and AI.

Across various health care settings, AI plays a significant role in achieving the mission of curing and preventing diseases, connecting people everywhere, and transforming care. Mayo Clinic's 2023 AI Summit brings together AI experts and the health care community to review advances and discuss the promises, problems and practicalities of AI in health care.

Join us in person or virtually on June 19-21, 2023, in Rochester, Minnesota, as we gather to explore the exciting possibilities that artificial intelligence brings to health care.

Important dates

Please make note of the following dates to participate in the AI Summit:

  • Registration period: Feb. 13-June 9, 2023.
  • Deadline to submit abstracts and breakout session proposals: March 22, 2023.
  • Notifications of acceptance or non-acceptance: April 7, 2023.
  • AI Summit: June 19-21, 2023.

Participation

Call for abstracts

After you register for the course, you will see instructions for submitting abstracts. They are due by March 22, 2023.

Presentation types

Abstracts will be presented in the following formats:

  • Poster presentations.
  • Lightning talks — 5 minutes.
  • Oral presentations — 20 minutes.
  • Breakout sessions — up to three hours. See "Call for breakout sessions," below.

Topic areas

Presentations should focus on the promises, problems and practicalities of AI in health care, including but not limited to the following topic areas:

  • AI Promises. Topics include machine learning, virtual reality and augmentation, natural language processing-empowered discovery science, AI-powered diagnostics and treatment, and human well-being.
  • AI Problems. Topics include literacy and hype, bias and trust, disparities and the digital divide, translational gaps, ethical considerations, and data annotation and mark-up.
  • AI Practicalities. Topics include data availability and quality, data privacy and security, regulatory compliance and monitoring, workflow integration and training, and utility and user experience.

All abstracts will be reviewed by the steering committee and accepted or declined by April 7, 2023.

Call for breakout sessions

The AI Summit includes several breakout sessions.

After you register for the course, you will see instructions for submitting breakout session proposals, which are due by March 22, 2023. Include the following information:

  • Organizers. Names, affiliations and email addresses; contact person; organizers' backgrounds.
  • Topic. Abstract, theme and rationale for the breakout session; issues to be addressed; goals of the session; relevance to the conference. 500-1000 words.
  • Audience. Target audience; communities the session addresses; anticipated number of attendees.
  • Length. Breakout sessions may be 60, 90, 120 or 180 minutes. The breakout sessions do not overlap with the keynote and panel sessions.
  • Format. Possible formats include workshops, panels, data challenges, hackathons, tutorials and in-depth special sessions focused on a pre-selected topic.

All proposals will be reviewed by the steering committee and accepted or declined by April 7, 2023.

Call for sponsorships

If your organization is interested in sponsoring this event, email us to learn about available sponsorship types and costs at each level.

As sponsorships are secured, companies are listed here.

Sponsorship support is greatly appreciated.

Program

Times, events and speakers for the AI Summit are preliminary and subject to change. Any updates will be published on this page. Times listed below are in Central Standard Time.

DAY 1: June 19

Welcome and Training

  • Short introductory courses.
  • Tutorials.
  • Pre-conference workshops.
  • Hands-on activities.

DAY 2: June 20

8:30-9:15 a.m. Opening keynote — 45 min Nigam H. Shah, MBBS, Ph.D.
9:15-9:45 a.m. Panel #1
9:45-10:30 a.m. Break & posters
10:30-11:30 a.m. Invited talks — 20 min. each Breakout sessions
11:30 a.m.-noon Lightning talks — 5 min. each
Noon-1 p.m. Lunch
1-1:45 p.m. Keynote #2 Alexander D. Wissner-Gross, Ph.D.
1:45-2:15 p.m. Panel #2
2:15-3 p.m. Break & posters
3-4 p.m. Invited talks — 20 min. each Breakout sessions
4-4:30 p.m. Lightning talks — 5 min. each

DAY 3: June 21

8:30-9:15 a.m. Keynote #3 Nasir M. Rajpoot, Ph.D.
9:15-9:45 a.m. Panel #3
9:45-10:30 a.m. Break & posters
10:30-11:30 a.m. Invited talks — 20 min. each Breakout sessions
11:30 a.m.-noon Lightning talks — 5 min. each
Noon-1 p.m. Lunch
1-1:45 p.m. Concluding keynote Mona G. Flores, M.D.
1:45-2:15 p.m. Panel #4
2:15-3 p.m. Break & posters
3-4 p.m. Invited talks — 20 min. each Breakout sessions
4-4:30 p.m. Lightning talks — 5 min. each

Speaker bios

As speakers are confirmed for the AI Summit, bios will be listed here.

  • Mona G. Flores, M.D.

    Global Head, Medical Artificial Intelligence, NVIDIA

    San Jose, California, United States

Mona G. Flores, M.D., is the global head of medical artificial intelligence at NVIDIA, where she oversees AI initiatives in medicine and health care to bridge the chasm between technology and medicine.

Dr. Flores brings a unique perspective due to her varied experience in clinical medicine, medical applications and business. She is a board-certified cardiac surgeon and the previous chief medical officer of a digital health company. She holds an MBA in management information systems and has worked on Wall Street. Her ultimate goal is the betterment of medicine through AI.

Dr. Flores has had great success providing medical technology and clinical health care solutions for demanding product and revenue requirements. Her strengths include effectively contributing to a technical business environment and clearly identifying methods that increase product growth, while creating and delivering product strategies for health care technology. She has a reputation for leading product road maps, saving time, reducing expenses and increasing Agile team productivity levels.

  • Nasir M. Rajpoot, Ph.D.

    Director, Tissue Image Analytics Centre

    Professor, Computational Pathology

    University of Warwick, Coventry, United Kingdom

Nasir M. Rajpoot, Ph.D. is a professor of computational pathology at the University of Warwick and an honorary scientist in the Department of Pathology at the University Hospitals Coventry & Warwickshire NHS Trust. Prior to completing his Ph.D. in computer science at Warwick in 2001, he was a postgraduate research fellow in the applied math program at Yale University from 1998 to 2000, and a systems engineering fellow at the Pakistan Institute of Engineering and Applied Sciences from 1994 to 1996.

Since 2012, Dr. Rajpoot has served as the director and founding head of the Tissue Image Analytics lab at Warwick. Since 2019, he has been a co-director of the recently funded £15 million PathLAKE Centre of Excellence on AI in Pathology.

The focus of Dr. Rajpoot's current research is on developing novel computational pathology algorithms with applications to computer-assisted grading of cancer and image-based markers for predicting cancer progression and survival. He has been active in the digital pathology community for over a decade and has delivered more than 50 invited and keynote talks at national and international events and institutions since 2015.

Dr. Rajpoot was recently awarded the Wolfson Fellowship by the UK Royal Society and the Turing Fellowship by the Alan Turing Institute, the UK's national data science institute.

  • Nigam H. Shah, MBBS, Ph.D.

    Professor of Medicine (Biomedical Informatics) and Biomedical Data Science

    Stanford University, Stanford, California

Dr. Nigam Shah is Professor of Medicine in Biomedical Informatics at Stanford University, Associate CIO for Data Science at Stanford Healthcare, and a member of the Biomedical Informatics Graduate Program, as well as the Clinical Informatics Fellowship. Dr. Shah's research focuses on combining machine learning and prior knowledge in medical ontologies to enable use cases of the learning health system.

Dr. Shah received the American Medical Informatics Association New Investigator Award for 2013, and the Stanford Biosciences Faculty Teaching Award for outstanding teaching in his graduate class on “Data driven medicine.” Dr. Shah was elected into the American College of Medical Informatics in 2015, and was inducted into the American Society for Clinical Investigation in 2016. He holds an MBBS from Baroda Medical College, India, a Ph.D. from Penn State University, and completed postdoctoral training at Stanford University.

  • Alexander D. Wissner-Gross, Ph.D.

    President and Chief Scientist, Gemedy

    Managing Director, Reified

Alexander D. Wissner-Gross, Ph.D., is an award-winning computer scientist, entrepreneur, advisor and investor. He serves as president and chief scientist of Gemedy and managing director of Reified and has taught at Harvard and MIT. He has received 128 major distinctions; authored 23 publications; been granted 24 issued, pending and provisional patents; and founded, advised and invested in more than 28 technology companies with a combined valuation of over $950 million.

In 1998 and 1999, respectively, Dr. Wissner-Gross won the USA Computer Olympiad and the Intel Science Talent Search. In 2003, he became the last person in MIT history to earn a triple major, with bachelor's degrees in physics, electrical Science and engineering, and mathematics, and graduated first in his class from the MIT School of Engineering with a Marshall Scholarship. In 2007, he completed his Ph.D. in physics at Harvard, where his research on neuromorphic computing, machine learning and programmable matter was awarded the Hertz Foundation's Doctoral Thesis Prize.

A thought leader in artificial intelligence and cyber-physical systems, Dr. Wissner-Gross is a contributing author of the New York Times science bestseller, "This Idea Must Die," and the Amazon #1 new release, "What to Think About Machines That Think." A popular TED speaker, his talks have been viewed more than 2 million times and translated into 27 languages. His work has been featured in more than 200 press outlets worldwide, including The Wall Street Journal, BusinessWeek, CNN, USA Today and Wired.

Location

Hilton Rochester Mayo Clinic Area

  • 10 E Center Street
    Rochester, MN 55904
  • (507) 258-5757

A special rate and block of rooms has been reserved for the AI Summit.
Mayo AI Summit 2023 - Hilton

Mayo Clinic in Rochester, Minnesota, is the original and largest Mayo Clinic campus. It is located in the heart of Rochester — a dynamic city just 90 minutes south of the Twin Cities. It's a thriving community with many attractions.

Faculty

The conference planners promote collaborative activities for advancing the methods, applications and infrastructure in digital medicine with the emphasis on the synergy of people, processes and technology.

Planning committee

The following Mayo Clinic leadership team developed the format and execution of the AI Summit:

Steering committee

The following Mayo Clinic experts oversee the scientific direction and content of the AI Summit:

Registration

Registration fees

In-person: $295
Student rates and virtual options are available. Email us for more information.

Cancellation and refund policy

Requests for cancellations must be submitted in writing. Registrations cancelled 14 days or more before the summit start date will receive a full refund (minus a $75 administrative fee) to form of payment used for registration. No refunds are granted less than 14 days before the summit start date.

Any use of this site constitutes your agreement to Mayo Clinic School of Continuous Professional Development's Conditions of Use and Cancellation and Refund Policy.

Register now.