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GTC DC 2017

DC7108 - Disruptive Changes in Ophthalmology by Deep Learning

Session Speakers
  • Aaron Lee - Assistant Professor, University of Washington

    Dr. Aaron Lee is a vitreoretinal surgeon at University of Washington and Veterans Affairs with a research focus in clinical Big Data and applying novel computational techniques to ophthalmology. He obtained his undergraduate degree from Harvard University, attended Washington University in St Louis for medical school and ophthalmology residency. He obtained subspecialty training at Moorfields Eye Hospital in London and University of British Columbia. He has been working with large datasets since 2001 and has expertise in databases, distributed programming, web technology, and deep learning.

Session Description

Hear about how GPU technology is disrupting the way your eye doctor works and how ophthalmic research is performed today. The rise of Electronic Medical Records in medicine has created mountains of Big Data particularly in ophthalmology where many discrete quantitive clinical elements like visual acuity can be tied to rich imaging datasets. In this session, we will explore the transformative nature that GPU acceleration has played in accelerating clinical research and show real-life examples of deep learning applications to ophthalmology in creating new steps forward in automated diagnoses, image segmentation, and computer aided diagnoses.


Additional Information
All
AI in Healthcare, Computer Vision and Machine Vision
Healthcare & Life Sciences
Talk
25 minutes
Session Schedule