NVIDIA at RSNA 2020

Discover how GPU-accelerated AI is driving innovation in radiology workflows, scanners, dictation, integration, reporting, and more.

NVIDIA News from RSNA 2020

Leading Healthcare Research Institutions Adopt MONAI

MONAI—a PyTorch-based, open-source framework that enables the development of AI for medical imaging—is now ready for production with the upcoming release of the NVIDIA Clara™ application framework.

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The NVIDIA Healthcare Inception Alliance

To help accelerate medical imaging startups, NVIDIA has united with industry leaders to provide go-to market support, tools, and expertise.

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Introducing the NVIDIA Clara AGX Developer Kit

The NVIDIA Clara AGX^™ developer kit is an embedded AI supercomputer and software development framework for medical devices that need the ability to perform real-time AI and advanced image, video, and signal processing.

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NVIDIA RSNA 2020 Special Address

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Deep Learning Institute

Get Hands-On Training in Deep Learning for Medical Imaging

Deep Learning for Medical Imaging Courses

Get access to a fully configured, GPU-accelerated server in the cloud, gain practical skills for your work, and have the opportunity to earn a certificate of subject matter competency and support career growth.

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Featured at RSNA 2020

RCC31: The Imaging Standards You Need to Know

Join Brad Genereaux, NVIDIA’s medical imaging alliance manager, and other leaders in the medical imaging interoperability community to explore the concept of interoperability in the healthcare enterprise, the role technology standards play in medical imaging, and the important trends in the evolution of these standards.

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Imaging AI in Practice

In order to showcase new and interoperable technologies and standards to integrate AI into diagnostic radiology workflows, RSNA has created the Imaging AI in Practice demo, showing real-world clinical scenarios using PACS, reporting, and AI applications and how AI can be used to support improvements in patient care.

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Explore Solution Demos

NVIDIA Clara-Accelerated AI Annotation with Fovia

Clara AI-assisted annotation with DeepGrow 3D powers next-generation general purpose medical imaging annotation in three dimensions. Integrated into Fovia, rapid annotation of the entire organ can be achieved with just a few clicks and visualized in real-time.

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Building AI Without Writing Code

Using NVIDIA Clara Studio, it's possible to build and deploy high performing healthcare AI models in a few simple steps. It includes all the tools you need to get started with training a deep learning model for healthcare.

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Open-Source AI Framework for Medical Imaging

MONAI is an open-source, community-supported, PyTorch-based framework for deep learning in healthcare imaging. Learn more about MONAI by checking out the YouTube videos from their first Bootcamp.

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Collaboratively and Securely Build Deep Learning Models

Learn how NVIDIA Clara™ Federated Learning enables institutions to collaboratively build robust AI models for medical imaging while keeping patient data private.

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Deploying AI-Powered Clinical Workflows at Scale

Using NVIDIA Clara Deploy, AI applications can be built on a common foundation with key features that allow for multi-AI processing and priority queuing, making production seamless for IT and DevOps.

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Kickstarting AI Creation

With NVIDIA Clara, building AI is easy with tools that make data annotation, training, and deployment seamless for medical imaging applications.

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NVIDIA INCEPTION PARTNERS

NVIDIA Inception is a program that offers startups go-to-market support, expertise, and technology. At RSNA, explore the solutions NVIDIA Inception members working in medical imaging. Interested in an introduction? Contact us at inceptionprogram@nvidia.com

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