AI for ophthalmology: Doing what doctors can’t (sponsored by Dell Technologies)
The emphasis in AI is on replicating human performance. Examples abound: ImageNet, self-driving cars, etc. It’s the same in medicine. Daniel Russakoff explains how Voxeleron LLC is working on what’s next—AI algorithms that do things that humans can’t, such as the prediction of age-related macular degeneration (AMD) progression, critical to successful treatment of this leading cause of vision loss.
This keynote is sponsored by Dell Technologies.
Daniel Russakoff is cofounder (with Jonathan Oakley) and principal scientist of Voxeleron LLC, where he combines traditional computer vision with cutting-edge AI to develop advanced algorithms for ophthalmic image analysis. Previously, he was a computer scientist at the National Institute of Standards and Technology and chief scientist at Fujifilm’s San Jose Research Lab. He’s authored numerous conference and journal papers and holds a number of patents on topics ranging from stereo vision to AI-enabled disease prognostics. He earned his AB in geophysics from Harvard University and his PhD in computer science from Stanford University. His research interests are in computer vision and machine learning in general, and biomedical image analysis in particular.
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