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NVIDIA at RSNA 2021

Discover how advancements in AI are driving innovation in radiology workflows, scanners, dictation, integration, reporting, and more.

NVIDIA RSNA 2021 Special Address

Watch the NVIDIA RSNA 2021 Special Address to explore the state of AI in medical imaging and learn how NVIDIA is helping medical centers around the world build AI-powered enterprise imaging ecosystems with NVIDIA Director of Business Development, Healthcare, David Niewolny.

Having trouble viewing? Watch it on IBM Video.

NVIDIA News at RSNA

Federated Learning with NVIDIA FLARE

New open-source software provides a common computing foundation for federated learning, accelerating AI in industries, including healthcare, manufacturing, and financial services.

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NVIDIA AI Enterprise Helps Researchers, Hospitals Targeting Cancer Hit the Mark

The Netherlands Cancer Institute and healthcare companies Vyasa and iCAD are among the first to fast-track end-to-end AI workloads with the NVIDIA software suite.

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Removing Aliasing Artifacts in Ultrasound Color Doppler Imaging

The NVIDIA Clara^™ Developer Kit, Clara Holoscan, and us4us’s ultrasound front-end are helping build AI models for streaming ultrasound data to remove artifacts like aliasing.

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Interested in learning more about NVIDIA solutions for medical imaging?

Applied AI Meets Medical Imaging

Join NVIDIA and Quantiphi to learn about developing AI applications for segmenting brain injuries, lung perfusions, blood disorders, and more. See how practical challenges like data harmonization, patient de-identification, and data augmentation can be addressed to build robust GPU-powered medical image segmentation workflows.

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Using NVIDIA Clara Holoscan and Clara Developer Kit in Ultrasound Imaging

The LITMUS group at the University of Waterloo found a way to remove aliasing artifacts from visualizations by training a U-Net convolutional neural network on over 1,000 images. The team was also able to increase frames per second in ultrasound imaging from 2 to 30 frames per second.

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AI-Powered Cancer Screening Applications Managed with NVIDIA AI Enterprise

AI applications like Vyasa and iCAD can be used for breast cancer screening and easily run, managed, and deployed on NVIDIA AI Enterprise, giving hospitals the ability to transform patient and caregiver experiences.

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Federated Learning for Healthcare AI with NVIDIA and Rhino Health

Rhino Health’s federated learning platform, built on NVIDIA FLARE, allows researchers across multiple institutions to collaboratively train AI models without moving patient data, ensuring privacy.

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Accelerating Biomedical Research and Collaboration with Flywheel

Flywheel Exchange accelerates healthcare innovation with a data management platform that integrates with NVIDIA FLARE, enabling users to access and share data and algorithms for biomedical research and federated learning projects.

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AI-Augmented Surgery in a Box

AI-augmented surgery powered by NVIDIA Clara Developer Kits is equipping surgeons with rich analytics and data-driven insights, on-demand and on-the-fly, to reduce errors and improve patient outcomes.

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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. Watch YouTube videos from their first Bootcamp to learn more.

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NVIDIA Deep Learning Institute (DLI)

Get Hands-On Training in Deep Learning for Medical Imaging

Explore deep learning for medical imaging courses:

With NVIDIA DLI, 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 to support career growth.

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NVIDIA INCEPTION PARTNERS

NVIDIA Inception is a program that supports startups through every phase of their life cycle, offering go-to-market support, expertise, and access to technology. At RSNA, explore the solutions of NVIDIA Inception members working in medical imaging. Interested in an introduction? Contact us.

Get The Latest Medical Imaging News

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