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Deep learning-based imaging diagnostics with Lily Peng (Google Health)
Manage episode 268873327 series 2769784
In 2016, a team at Google Health led by Product Manager Lily Peng accurately predicted diabetic retinopathy in patients solely from images of their eyes. Today I chat with Lily about this work in diagnosing diabetic retinopathy by tapping into advances in deep learning, what factors determine whether a medical problem is well-suited to machine learning tasks, and the iterative process to achieve model performance in the context of a clinical environment. We also discuss tactics to effectively deploy such technologies in resource-poor regions in a sustainable way.
Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary
--- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support25 episodes
Manage episode 268873327 series 2769784
In 2016, a team at Google Health led by Product Manager Lily Peng accurately predicted diabetic retinopathy in patients solely from images of their eyes. Today I chat with Lily about this work in diagnosing diabetic retinopathy by tapping into advances in deep learning, what factors determine whether a medical problem is well-suited to machine learning tasks, and the iterative process to achieve model performance in the context of a clinical environment. We also discuss tactics to effectively deploy such technologies in resource-poor regions in a sustainable way.
Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary
--- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support25 episodes
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