A Secret Guide to Forefront of Healthcare AI

Bio summary:

Dr. Synho Do is Director of the Laboratory of Medical Imaging and Computation (LMIC). He has a MS in Electrical Engineering (cryptosystem analysis) and a PhD degree in Biomedical Engineering (nonlinear biological system analysis). As a NIH T32 fellow, Dr. Do received clinical training in the Cardiac MR PET CT program, He then built his team of scientists, clinicians, and mentors as an instructor at Massachusetts General Hospital, Harvard Medical School. He is currently an Assistant Professor of Radiology at Harvard Medical School and Assistant Medical Director for Advanced Health Technology Engineering, Research, and Development within the Massachusetts General Physicians Organization (MGPO). His research interests are healthcare data machine learning, high performance computing, nonlinear system identification, complex system modeling, and clinical workflow understanding.

Abstract:

In this presentation, I will go over current trends in general AI field and explain how to develop healthcare AI algorithms specifically with knowledge extraction system in radiology domain. Furthermore, I will show and explain the details of practical applications we’d developed in my laboratory at Massachusetts General Hospital and Harvard Medical School. I will conclude the talk with a few take-home messages for people who are interested in developing healthcare AI algorithms in future.