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GTC On-Demand

Presentation
Media
Abstract:
Healthcare has been on the frontlines of AI adoption for some time, using it to solve critical problems impacting humanity at large. What can other industries learn from healthcare AI innovation, in terms of applications and benchmarks? What insights can be shared about cross-industry concerns such as privacy and security? How will healthcare further evolve now that data-centric models are driving new models?
Healthcare has been on the frontlines of AI adoption for some time, using it to solve critical problems impacting humanity at large. What can other industries learn from healthcare AI innovation, in terms of applications and benchmarks? What insights can be shared about cross-industry concerns such as privacy and security? How will healthcare further evolve now that data-centric models are driving new models?  Back
 
Topics:
AI and DL Business Track (high level)
Type:
Panel
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9989
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Abstract:
"AI is transforming healthcare" is the buzz around every news alert these daysbut is it true? Where is AI and deep learning affecting healthcare and how is it impacting the medical imaging space? Join a thought leadership panel as government, industry and academic experts discuss the real calibration of the spaceseparating reality from the noise to explore how deep learning is advancing clinical practice, including advancements to overcome data and regulatory challenges.
"AI is transforming healthcare" is the buzz around every news alert these daysbut is it true? Where is AI and deep learning affecting healthcare and how is it impacting the medical imaging space? Join a thought leadership panel as government, industry and academic experts discuss the real calibration of the spaceseparating reality from the noise to explore how deep learning is advancing clinical practice, including advancements to overcome data and regulatory challenges.  Back
 
Topics:
Leadership in AI, AI in Healthcare
Type:
Panel
Event:
GTC Washington D.C.
Year:
2017
Session ID:
DC7246
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