Speaker: Lili He, PhD | Associate Professor, Imaging Research Center, Department of Radiology, Cincinnati Children’s Hospital Medical Center
Date: Wednesday, January 17th, 2024
Time: 10:00 AM Central Time
Location: Webex
Title: “From Vast to Limited: Small Data’s Big Role in Medical Imaging AI”
Abstract: Artificial intelligence (AI) and ‘big data’ share a synergistic relationship, with many of the most significant AI breakthroughs in the past decade relying on the availability of vast datasets. However, AI does not solely revolve around large datasets. In this presentation, I will introduce and provide an overview of ‘small data’ AI approaches, highlighting my lab’s recent efforts in addressing the challenges associated with training deep learning models using smaller medical imaging datasets.
Bio: Lili He is an Associate Professor of Radiology at Imaging Research Center, Cincinnati Children’s Hospital Medical Center (CCHMC). Dr. He directs the Laboratory of AI for Computer-Aided Diagnosis (AI-CAD) and co-heads a multi-disciplinary team. This team, comprising faculty from seven divisions/departments as well as Information Services, Radiology Information Technology, Innovation Ventures, and the Ethics Center, is dedicated to developing an image-focused AI core infrastructure that serves CCHMC’s clinical and research missions. Her career is marked by a passion for enhancing patient care through innovative AI technology. Since 2016, Dr. He has secured over $10 million in research funding, including multiple NIH awards, for developing imaging prognostic biomarkers and clinically effective AI tools. The tools are specifically designed for the early detection and prediction of various important clinical outcomes, including cognitive, language, and motor deficits; Attention Deficit Hyperactivity Disorder; Autism Spectrum Disorder; and liver and Crohn’s diseases.