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GTC ON-DEMAND

Presentation
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Abstract:

We'll discuss the Clara Platform, which is designed to bring NVIDIA technology and expertise in high performance computing, artificial intelligence, and photorealistic rendering to the medical-imaging industry. Our talk will focus on how developers from industry and institutions are leveraging the platform to integrate artificial intelligence into hospitals to bend the cost curve and improve patient outcomes.

We'll discuss the Clara Platform, which is designed to bring NVIDIA technology and expertise in high performance computing, artificial intelligence, and photorealistic rendering to the medical-imaging industry. Our talk will focus on how developers from industry and institutions are leveraging the platform to integrate artificial intelligence into hospitals to bend the cost curve and improve patient outcomes.

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Topics:
Medical Imaging & Radiology, AI in Healthcare, HPC and AI
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9994
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Abstract:

Learn about the importance of clinical domain expertise in AI algorithm/model development and incorporation into clinical workflow, specifically in medical imaging, from a radiologist. With growing media attention, there is much fear, hype, and hope when it comes to using DL in radiology. We will present through examples why it is essential to incorporate clinical domain expertise when developing DL models. We will demonstrate various ways AI can augment the radiologists both in image interpretation as well as beyond within the overall workflow. In the second portion of this talk, we will present the gap between developing a great AI model in isolation and having it become part of daily medical practice. From integration and hospital connectivity to algorithm serving at scale to meet growing demand, we will show how an AI Marketplace can create the ecosystem that allows AI to flourish.

Learn about the importance of clinical domain expertise in AI algorithm/model development and incorporation into clinical workflow, specifically in medical imaging, from a radiologist. With growing media attention, there is much fear, hype, and hope when it comes to using DL in radiology. We will present through examples why it is essential to incorporate clinical domain expertise when developing DL models. We will demonstrate various ways AI can augment the radiologists both in image interpretation as well as beyond within the overall workflow. In the second portion of this talk, we will present the gap between developing a great AI model in isolation and having it become part of daily medical practice. From integration and hospital connectivity to algorithm serving at scale to meet growing demand, we will show how an AI Marketplace can create the ecosystem that allows AI to flourish.

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Topics:
AI in Healthcare, Medical Imaging & Radiology
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8871
Streaming:
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