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NVIDIA Clara Imaging

Artificial Intelligence for Medical Imaging Applications

囗交口爆国产在线视频

NVIDIA Clara? Imaging is an application framework that accelerates the development and deployment of AI in medical imaging. Built for data scientists and researchers, Clara Imaging offers easy-to-use, domain-optimized tools to create high-quality, labeled datasets, collaborative techniques to train robust AI models, and an end-to-end software framework for scalable and modular AI deployments.

Train AI for Medical Imaging

Clara Train collaborate and build AI models

Clara Train Application Framework

Clara Train kickstarts the creation of AI-capable applications for medical imaging with APIs that can add AI-assisted annotation to any medical viewer and a set of domain-specialized pre-trained models. It also includes techniques like AutoML and privacy-preserving federated learning to maximize the throughput of researchers—allowing multiple institutions to collaborate and build secure AI models without sharing private data.

Run on AWS Cloud ?

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Accelerate AI Model Training with DGX

Training AI models with large datasets requires powerful compute.NVIDIA DGX? systems are purpose-built to speed up AI training times and optimize time to solution.

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Accelerate AI Model Training with DGX

Deploy Clinical Workflows

Clara Deploy

Clara Deploy Application Framework

Clara Deploy seamlessly turns your AI models into AI-powered clinical workflows. Its reference cloud-native framework accelerates the development and deployment of scalable multi-AI imaging workloads and includes built-in support for DICOM communication and the ability to interface with existing hospital infrastructure.

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Easily Deploy AI with EGX

With the NVIDIA EGX? edge computing platform, fleets of medical devices at multiple physical locations can be remotely managed easily and securely, meeting the needs of data security and real-time intelligence.

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Easily Deploy AI with EGX

Build Intelligent Instruments

Clara AGX SDK

Clara AGX SDK

For medical devices that need to perform real-time AI and advanced image, video, and signal processing, the NVIDIA Clara AGX SDK provides developers the ability to build end-to-end streamlined workflows with advanced samples for ultrasound video and endoscopy.

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Build AI-Enabled Medical Devices

The NVIDIA Jetson? family of AI-at-the-edge products provides high-compute performance and cloud-native capabilities that enable AI in next-generation medical instruments. With Jetson, companies can build scalable solutions using a rich suite of AI tools and SDKs.

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Build AI-Enabled Medical Devices

Why Use Clara Imaging

Build and Deploy AI with Ease

Build and Deploy AI with Ease

NVIDIA Clara Imaging lowers the barrier to AI adoption using tools that make data annotation, training, and deployment seamless for medical imaging applications.

Watch How to Video ?

Learn to Run Clara Train on AWS ?

Adopted by Leading Institutions

Adopted by Leading Institutions

From building AI tools that speed diagnosis and treatment to scalable deep learning for clinical deployment, organizations are using Clara Imaging to build, deploy, and manage AI-enhanced medical imaging.

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Collaborative AI Training with Federated Learning

Collaborative AI Training with Federated Learning

See how Clara Federated Learning works and how institutions can collaboratively build robust AI models while keeping patient data secure.

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Clara Imaging Adopters

News

NVIDIA Clara Integrates with Arterys Marketplace for Medical AI

NVIDIA Clara Integrates with Arterys Marketplace for Medical AI

Now integrated into the Arterys Marketplace, NVIDIA Clara Deploy makes it easy for researchers to share medical imaging AI models with clinicians, including the recently released NVIDIA Clara Imaging AI COVID-19 Classification Pipeline.

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MONAI: Open-Source AI Framework for Healthcare Research

MONAI: Open-Source AI Framework for Healthcare Research

In partnership with King’s College London, NVIDIA created project MONAI, a domain-optimized AI framework for medical imaging that brings deep learning best practices to healthcare.

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