Ph.D., Associate Professor, UCLA
Biography
Dr. Sung is an Associate Professor of Radiology, where his research primarily focuses on the development of novel medical imaging methods and artificial intelligence using magnetic resonance imaging (MRI). He received a Ph.D. degree in Electrical Engineering from the University of Southern California, Los Angeles, in 2008, and from 2008 to 2012, he finished his postdoctoral training at Stanford in the Departments of Radiology. He joined the University of California, Los Angeles (UCLA) Department of Radiological Sciences, in 2012. His research interest is to develop fast and reliable magnetic resonance imaging (MRI) techniques that can provide improved diagnostic contrast and useful information. In particular, his research group (https://mrrl.ucla.edu/sunglab/) is currently focused on developing advanced deep learning algorithms and quantitative MRI techniques for early diagnosis, treatment guidance, and therapeutic response assessment for oncologic applications. Such developments can offer more robust and reproducible measures of biologic markers associated with human cancers.
Session Abstract – PMWC 2020 Silicon Valley
Track 2 - January 24 1.15 P.M.-1.45 P.M.
The digitalization of healthcare is underway but not so obvious, partly because the industry has been slower than other sectors to utilize the technology. With rising life expectancies and the increasing occurrence of chronic diseases such as cancer or cardiovascular conditions, the healthcare universe is in dire need of the improvements. Digitalization will enable this progress in terms of saving costs, improved diagnostics, more effective treatment decisions, and an enhanced, holistic picture of every single patient. In addition, the global shortage of doctors, nurses and technicians demands for improved efficiency and the need for technology to help bridge the demand-supply gap in services.
