Artificial Intelligence for Healthcare: Case Studies (Virtual Event)

September 11, 11:00am, EDT - 12:00pm, EDT



In recent years, artificial intelligence (AI) has generated more buzz than any other technological innovation. As healthcare data becomes larger and more transferable, it creates ripe prospects to apply computing power and techniques like natural language processing and machine learning towards clinical and organizational aims. In this event, experts will discuss how expanding AI capabilities are impacting the healthcare industry – enabling decision-making to drive improved patient outcomes and business value. Participants will learn about common misunderstandings surrounding AI’s ability to add tangible value to the healthcare space, management issues concerning implementing AI programs in healthcare, and gain insight into what AI opportunities are on the horizon.

(Virtual) Door Prize: We are excited to announce that our partner for the event, The Robert H Smith School of Business, has donated 1 free registration to their newly developed "AI Leadership for Healthcare" certificate program. The program is a 16-week course valued at $2600. Must be in attendence to win.

This first-of-its-kind AI-centric training program is designed for managers, administrators, clinical professionals and others who seek to advance their career through a focused study preparing for the future of AI-enabled healthcare. Learn to:

· Identify the right AI tool for different challenges and opportunities

· Leverage advances in AI to empower providers and patients

· Navigate the upcoming paradigm changes and turmoil

· Implement and manage AI projects in healthcare

While participants will have the opportunity to participate in hands-on AI exercises throughout the training, no programming experience is needed.

To learn more about this exciting opportunity, visit:





Guodong (Gordon) Gao, PhD, MBA, is the director of the Health Insights AI Lab, the co-director of the Center for Health Information and Decision Systems (CHIDS), and professor at the Smith School of Business, University of Maryland, College Park. He received his PhD from the University of Pennsylvania, his MBA from Tsinghua-MIT Sloan joint program, and bachelor’s degrees from Tsinghua University. 

His research interests include Big Data and Artificial Intelligence (AI) in healthcare, health IT, and quality transparency. Dr. Gao’s research has been profiled or featured in popular media such as the Washington Post, Wall Street Journal, and NPR news. He currently serves on the editorial board of Management Science. Dr. Gao initiated and co-organize the annual Conference on Health IT and Analytics (CHITA). He is a recipient of the CAREER Award from the National Science Foundation.


Kenyon Crowley, PhD, MBA, CPHIMS is a leader of the Robert H. Smith School of Business’ health information technology research portfolio where he serves as Managing Director of the Center for Health Information and Decision Systems (CHIDS). At CHIDS, Kenyon manages a broad portfolio of activities aimed at improving the design, integration and effective use of digital systems and analytics in healthcare.  He has managed innovation projects with numerous government, healthcare delivery and commercial organizations from Fortune 500 firms to startups. He frequently presents at national and international conferences, and has served as a scientific reviewer for the National Institutes of Health and the National Science Foundation. He has taught courses in health IT strategy, telehealth and mobile health app design, and has published peer-reviewed articles and book chapters on health data analytics, mobile health applications for chronic disease, and health IT implementation. When he is not pursuing health innovation, he is likely playing soccer, enjoying music, or traveling with his family and friends.