Session – Artificial Intelligence and Data

AI for Good: Deep Learning for Congenital Heart Disease Diagnosis and Intervention Planning  

Speaker: Dr. Yiyu Shi (史弋宇)

Associate Professor

Department of Computer Science and Engineering

University of Notre Dame

Notre Dame, IN, 46556

yshi4@nd.edu

 

Biography:

Dr. Yiyu Shi is currently an associate professor in the Department of Computer Science and Engineering at the University of Notre Dame, the site director of National Science Foundation Industry/University Cooperative Research Center on Alternative and Sustainable Intelligent Computing, and a visiting scientist at Boston Children’s Hospital, the primary pediatric program of Harvard Medical School. He received his B.S. in Electronic Engineering from Tsinghua University, Beijing, China in 2005, the M.S, and Ph.D. degree in Electrical Engineering from the University of California, Los Angeles in 2007 and 2009 respectively. His current research interests focus on hardware intelligence and biomedical applications. In recognition of his research, more than a dozen of his papers have been nominated for or awarded as the best paper in top conferences. He was also the recipient of various awards including the Japan Society for the Promotion of Science Faculty Invitation Fellowship, Humboldt Research Fellowship, IEEE St. Louis Section Outstanding Educator Award, St. Louis Academy of Science Innovation Award, Missouri S&T Faculty Excellence Award, NSF CAREER Award, IEEE Region 5 Outstanding Individual Achievement Award, the Air Force Summer Faculty Fellowship, and IEEE Computer Society TCVLSI Mid-Career Research Achievement Award. He is on the executive committee of ACM SIGDA, deputy editor-in-chief of IEEE VLSI CAS Newsletter, and an associate editor of various IEEE and ACM journals.

Abstract:

Congenital heart disease (CHD) is the most common type of birth defects, which occurs 1 in every 110 births in the United States. CHD usually comes with severe variations in heart structure and great vessel connections that require highly specialized domain knowledge and time-consuming manual effort to diagnose. In addition, although cardiac surgeries can effectively tackle CHD and lead to decreased mortality rate of newborns with CHD, most of the surgeries are only conducted in large cities due to the need for complex infrastructures, equipment, and highly skilled surgeons. In this talk, I will demonstrate how artificial intelligence can help in the diagnosis and treatment of CHDs. I will also present how it enabled the world’s first surgical telemonitoring of CHD.