報告人：馬里蘭大學(xué)史密斯商學(xué)院Guodong (Gordon) Gao教授
時間：7月25日（周六） 8:30-9:30
騰訊會議號：719 777 288
密碼：0725
內(nèi)容簡介：
Powered by big data and deep learning, modern artificial intelligence (“AI”) has shown great promise to tackle many grand challenges in healthcare. Despite the hypes and high expectations, many challenges exist to successfully leverage AI. In this talk, I will review several research projects conducted in my group, and offer my thoughts on how to make AI applications in healthcare more successful.
報告人簡介：
Guodong (Gordon) Gao, Ph.D., M.B.A., 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 in healthcare, health IT, and quality transparency. His work has been published at leading journals like Management Science, Information Systems Research, MIS Quarterly, Manufacturing and Service Operations Management (M&SOM), and Production and Operations Management. His work is also published or presented in the healthcare outlets, such as JAMA Internal Medicine, Journal of Medical Internet Research, International Health Economics Association Conference, as well as the American Society of Health Economists conference and AcademyHealth Annual Research meeting. Dr. Gao’s research has been profiled or featured in popular media such as the Washington Post, Wall Street Journal, NPR news, US News and World Report, and Reuters. He currently serves on the editorial board of Management Science, and served as Associate Editor for MIS Quarterly. Dr. Gao initiated and co-organize the annual Conference on Health IT and Analytics (CHITA). He has won several teaching and research awards, including the Teaching Excellence Award at the Smith School and the CAREER Award from the National Science Foundation.
（承辦：研究生院 科研與學(xué)術(shù)交流中心）
