Clara for Medical Devices

Process streaming data in real time with scalable, software-defined devices built with the NVIDIA Clara™ for Medical Devices platform.

Why Clara for Medical Devices?

For Enterprise

Quickly develop next-gen medical devices with software as a medical device (SaMD) at reduced cost and offload complexity to innovate competitively.

For IT

Use a full-stack platform to explore new AI-powered capabilities, accelerate time to market, lower development costs, and reduce the overhead of software maintenance costs.

For Developer

Build high-performance, streaming AI applications and deploy software-defined medical devices with safety and speed.

Accelerate Diagnosis and Treatment With Medical Device Workflows

Medical devices workflows are multifaceted and extend across patient care, healthcare provider efficiency, regulatory compliance, cost control, and data management. These workflows ensure that medical devices are used effectively and safely, resulting in improved patient outcomes and a more efficient healthcare system.

Medical Image Reconstruction
Real-Time Clinical AI Inference
Medical Devices AI Factory

Looking Inside the Body With Medical Image Reconstruction

Medical image reconstruction from devices like CT, MRI, and ultrasound gives clinicians the ability to look deep inside the body in 3D to make a diagnosis. Doing this requires intense computational processing of large amounts of data from multiple sensors or 2D images. GPUs and accelerated computing allow the reconstruction to happen quickly, so patients can be treated faster.

Powering Edge-to-Cloud, Real-Time, Multi-AI Inference

Real-time clinical AI inference uses video and sensor data to equip doctors and surgeons with insights for immediate decision-making during procedures. Accelerated computing, located in the operating room, delivers reliable, low-latency, data-driven predictions that enhance medical professionals' ability to see the unseen. This technology improves situational awareness, enabling more informed decisions, and can lead to better patient outcomes.

Building Models for Medical Devices With an AI Factory

Building next-generation AI applications for medical imaging requires a solution for data curation, ground truthing, training, validation, and deployment. Attention to both model performance and execution time is crucial to meet latency targets for efficient model development to achieve a faster time to market.

Product Suite

NVIDIA Holoscan SDK

Start with the Holoscan SDK to build pipelines for sensor data processing that meet latency requirements and scale from the data center to the edge.

Download the Holoscan SDK

NVIDIA MONAI

NVIDIA MONAI is a comprehensive suite of enterprise-grade containers, AI models, and cloud APIs crafted to accelerate medical imaging workflows. Anchored on the open-source Project MONAI, it provides developers with secure, NVIDIA-supported, state-of-the-art, and domain-specific AI workflows.

Explore NVIDIA MONAI

Holoscan Reference Apps

Access a central repository for the NVIDIA Holoscan AI sensor processing community to share apps and extensions. We invite users and developers of extensions and applications for the Holoscan platform to reuse and contribute components and sample applications.

Explore Reference Applications

NVIDIA IGX Developer Kit

Accelerate edge AI application development with the NVIDIA IGX Orin Developer Kit, complete with chassis and power supply, for high-performance, industrial-grade edge AI.

Learn More About the IGX Dev Kit

NVIDIA IGX

Purpose-built for industrial and medical environments, IGX delivers industry-leading performance, security, and functional safety, and has a 10-year lifecycle and support.

Learn More About IGX