(in-person) courses and conferences effective July 1, 2021 and available COVID-19 online education and resources.
Mayo Clinic Artificial Intelligence Symposium 2021 - LIVESTREAM
May 17 - 18, 2021 - LIVESTREAM - Central Standard Time
Mayo Clinic, driven by its values, adopts a future-forward approach to leading health care transformation. Leveraging medical excellence and digital health sciences, artificial intelligence plays a critical role. The Mayo Clinic Artificial Intelligence Symposium aims to bring the health care AI community together to learn about current activities, share best practices, and foster collaborations toward digital health and medicine.
Bradley J. Erickson, M.D., Ph.D., Medical Director of Artificial Intelligence, Mayo Clinic
Hongfang Liu, Ph.D., Director of Biomedical Informatics, Department of Artificial Intelligence
Mark Foley, Director of Artificial Intelligence, Center for Digital Health, Mayo Clinic
|M.D., D.O., Ph.D.||$395|
|Allied Health, NP, PA, Retirees||$295|
The symposium is designed for individuals interested in advancing healthcare through Artificial Intelligence including all Healthcare Providers, Researchers, and Administrators.
Upon completion of this activity, participants should be able to:
- Assess the opportunities for artificial intelligence in healthcare for curing and preventing diseases.
- Discuss best practices in developing artificial intelligence in healthcare.
- Explain how to interpret the privacy, legal, ethics and regulatory challenges faced in advancing artificial intelligence in healthcare.
Attendance at any Mayo Clinic course does not indicate or guarantee competence or proficiency in the skills, knowledge or performance of any care or procedure(s) which may be discussed or taught in this course.
Joseph Ahn, MD
Gian Marco Conte, MD, PhD
Jessica Cruz, MBA
Patrick Day, MT
Atul Dhanorker, MS
Kyle Eickman, PharmD
Bradley J. Erickson, MD, PhD, Medical Director of Artificial Intelligence
Mark Foley, Director Artificial Intelligence, Center for Digital Health
Vikash Gupta, PhD
John Halamka, MD, MS, President, Mayo Clinic Platform
David Harmon, MD
Steven Hart, PhD
Vitaly Herasevich, MD, PhD
Ming Huang, PhD
William Jenkinson, PhD
Thulasee Jose, MD
Janine Kamath, MA, MBA
Ann Kaminski, MD
Adrian Keister, PhD
Sana Khalid, MS
Bradley C. Leibovich, MD
Hongfang Liu, PhD, Director of Biomedical Informatics, Department of Artificial Intelligence
Sijia Liu, PhD
Andrew Missert, PhD
Jordan Moore, MBA
Clark Otley, MD
Carolyn Petersen, MS
Irbaz Riaz, MBBS, MS
Spencer Richards, MBA
Christopher Ross, Chief Information Officer
Elham Sagheb, MS
Ajai Sehgal, Chief Data and Analytics Officer
Nilay Shah, PhD, Division Chair, Healthcare Policy Research
Richard Sharp, PhD
Yashbir Singh, PhD
Mark Siska, RPh
Sunghwan Sohn, PhD
Divaakar Siva Baala Sundaram, MS
David Vidal, JD, Administrator RA/QA, Center for Digital Health
Tyler Wagner PhD
Yanshan Wang, PhD
Andrew Wen, MS
Natalie Benda, PhD
Patricia Cavazos-Rehg, PhD
Jonathan Chen, M.D., Ph.D., Assistant Professor, Stanford Department of Medicine Center for Biomedical Informatics Research
Nancy Cooke, Ph.D., Professor of Human Systems Engineering, Arizona State University
Matthew DeCamp, M.D., Ph.D., Associate Professor, Center for Bioethics & Humanities, University of Colorado
Khaled El Emam, Ph.D., Associate Professor, Research Chair in Electronic Health Information, CHEO Research Institute, University of Ottawa
Hussein Ezzeldin, Ph.D., Senior Staff Fellow, Food and Drug Administration
Fang Li, PhD
Piyash Mathur, MD, FCCM
Andrew Moore, Ph.D., Chief AI Scientist, Google Cloud
Yang Ren, MS
Robert Stevens, MD, FCCM
Sonoo Thadaney, Executive Director, Stanford Medicine Presence
Dezhi Wu, PhD
In support of improving patient care, Mayo Clinic College of Medicine and Science is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC) to provide continuing education for the healthcare team.
Mayo Clinic College of Medicine and Science designates this live activity for a maximum of 9.25 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Mayo Clinic College of Medicine and Science designates this activity for a maximum of 9.25 ANCC contact hours. Nurses should claim only the credit commensurate with the extent of their participation in the activity.
Other Healthcare Professionals
A record of attendance will be provided to all registrants for requesting credits in accordance with state nursing boards, specialty societies or other professional associations.
For disclosure information regarding Mayo Clinic School of Continuous Professional Development accreditation review committee member(s) and staff, please go here to review disclosures.
- 9.25 AMA PRA Category 1 Credit™
- 9.25 ANCC
- 9.25 Attendance
Thank you for your interest in supporting the Mayo Clinic Artificial Intelligence Symposium. This course offers the unique opportunity for companies to interact with health care providers via a Virtual Exhibit Hall. Analogous to booths at scientific conferences, this is a space where companies share information about their products and services, showcase their latest innovations, and connect with attendees, faculty and course directors. If you are interested in sponsoring this event, please contact Crystal Schacht.
|Gold Sponsor - Click on Exhibitor Logo to Access the Virtual Booth|
|Bronze Sponsor - Click on Exhibitor Logo to Access the Virtual Booth|
|Click on Exhibitor Logo to Access the Virtual Booth|
The Virtual Exhibit Hall is paid advertising. The use of the Site and the Content, including Third Party Content, is at your own risk.