Real-time, secure, and scalable intelligence at the edge is critical to informing clinical decisions. From federated learning to powering smart devices, Clara at the edge enables the ecosystem to move AI beyond the data center to the point of care.
NVIDIA Clara? is a computational platform for healthcare. Accelerated computing and AI is supercharging the next generation of medical devices and biomedical research. With one platform from imaging to genomics to patient monitoring - from embedded to edge to every cloud – NVIDIA Clara enables the healthcare industry to innovate and accelerate the journey to precision medicine.
Real-time, secure, and scalable intelligence at the edge is critical to informing clinical decisions. From federated learning to powering smart devices, Clara at the edge enables the ecosystem to move AI beyond the data center to the point of care.
The Clara Imaging application framework provides developers the tools to build, manage, and deploy intelligent imaging workflows and enable software-defined instruments..
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The NVIDIA Clara AGX? developer kit is an embedded AI computer and software development framework for medical devices that need the ability to perform real-time and advanced image, video, and signal processing.
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NVIDIA Clara Parabricks provides both enterprise-grade, turnkey, GPU-accelerated sequencing software and a technology stack for developers to build applications for high performance computing, deep learning, and data analytics in genomics.
NVIDIA Clara Guardian is an application framework that brings intelligent video analytics and automatic speech recognition capabilities to healthcare delivery, simplifying the development and deployment of smart sensors to ensure public safety, improve patient care, and enhance operational efficiencies.
Deep learning applications are data hungry. TrainingData.io’s web platform integrates NVIDIA Clara Train SDK to provide researchers access to AI-assisted segmentation tools for labeling healthcare datasets.
Using the NVIDIA Clara Deploy SDK, the Ohio State University Wexner Medical Center seamlessly translated an AI algorithm into an application workflow and deployed it into a hospital infrastructure.
To help physicians better detect prostate cancer, the National Institutes of Health and NVIDIA created an AI tool using the NVIDIA Clara Train SDK.
NVIDIA and the German Cancer Research Center (DKFZ) collaborated to bring the NVIDIA Clara SDK into the Medical Imaging Interaction Toolkit (MITK), giving users access to new annotation capabilities.
Build, deploy, and manage AI-enhanced medical imaging applications in hybrid computing environments to create intelligent workflows and instruments.
NVIDIA Clara AI toolkits provide an easy start to AI with tools that make data annotation, training, and deployments seamless for medical imaging applications.