Keeping Eyes Healthy and Saving Vision…with Artificial Intelligence
from Luminaries - Talking to the Brightest Minds in Tech Hosted by Dell Technologies, Mark Schaefer, Douglas Karr
Listen In To Learn How scientists are working to eliminate bias and error in AI training How practitioners are developing algorithms that can win FDA approval How AI can supplement and even exceed human capability in reading medical scans What’s coming next for AI in healthcare New Algorithms Could Detect Eye and Brain Disorders Earlier than Humans Can Eyes are more than the “windows to the soul.” They’re the visible parts of our nervous system, an extension of the brain that breaches the safe house of the skull. As such, ocular health and neurological health are intertwined. The most skilled ophthalmologists can read ocular scans to not only look for eye disease, but also traces of a host of neurological disorders. Voxeleron is using artificial intelligence and machine learning to, as they put it, “democratize expertise.” Their algorithms hold the promise of delivering expert-level diagnostic capabilities to any lab with a scanning device. What’s more, their algorithms already show signs of exceeding human capability in predicting certain eye diseases. Jonathan Oakley and Daniel Russakoff, both Principal Scientists at Voxeleron, outline the methodology they use to train AI up to clinical standards. They also offer a fascinating look at just how far the technology has advanced already, and what the future holds for AI in healthcare.
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What this episode covers
Artificial intelligence is coming to the healthcare industry, and with it the promise of more accurate imaging interpretation, earlier detection of disease, and ultimately improved prognoses. This episode focuses on the amazing progress being made in training algorithms to detect vision and neurological disorders. Voxeleron Principal Scientists, Jonathan Oakley and Daniel Russakoff, provide an eye-opening look at how the technology is developing.
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