Dr. Kenneth Gin
Professor
Medicine
Dr. Gin graduated MD at UBC in 1985; completed his internal medicine & adult cardiology training, followed by an echocardiography fellowship. Appointed by the UBC Department of Medicine and VGH Division of Cardiology in 1992, he achieved the rank of Clinical Professor in 2008. He was Director, UBC Postgraduate Cardiology Program for 10 years until 2009; under his tutelage the program grew from 2 residents to 17. From 2009 to 2012 he served as Head of the UBC Division of Cardiology for Vancouver Acute. Since 2009 to the present, he has served as Head of the VGH Division of Cardiology. He has received numerous teaching awards, including the prestigious 2010 UBC Killam Teaching Prize and the 2011 Canadian Cardiovascular Society Distinguished Teaching Award. He has published in the NEJM, Lancet, JACC and other high impact peer reviewed journals. In 2013 he received the Clinical Excellence award from VGH.
Example Project
“INformation FUSion for Echocardiography (INFUSE): A Novel Platform for Automatic Analysis of Echocardiography Data at Any Point-Of-Care” Heart disease remains a leading cause of illness, disability, and premature death for Canadians. One of the primary medical imaging technologies for diagnosing, monitoring, and managing various forms of heart disease is echocardiography (echo) or cardiac ultrasound. This valuable imaging capability however, is often available only in larger urban areas and regional health care centres, as specially trained technicians (sonographers) are needed to perform an echo exam to acquire the specific images physicians need for clinical decision-making. In this proposal, we aim to develop and apply "information intelligence," a rapidly growing data analytics technique, to echo imaging. This technique would allow accurate and reliable measurements from echo that is relatively independent of the sonographer's experience. Development of this information intelligence platform would improve access to echo, decreasing the disparity in terms of availability and access between rural or isolated regions of the country and larger cities, as well as reducing wait time in urban centres. This is because echo can be performed by a greater number of sonographers over all levels of experience, and high-quality measurements can be achieved more efficiently.
Research Keywords
Cardiology, Echocardiography, Cardiac Imaging, Image Registration, Ultrasound, Machine Learning
