AI-powered medical devices can help clinicians detect and measure anomalies, up-level surgical skills, enhance image quality, and optimize workflows. With NVIDIA’s industry-specific, full-stack platform, developers and data scientists can quickly integrate AI into their next-generation devices, supporting healthcare professionals and researchers everywhere.
Detect missed anomalies, automatically measure volumes, improve image quality, extract qualitative information on tissues in real time, and longitudinally track changes by leveraging AI models built with NVIDIA’s AI computing platform for images and streaming data.
Uplevel surgeries with AI models that help surgeons with alerts, segmentation of organs, and optimized analytics on 4k streaming video.
Identify more patterns and optimize pathology workflows in images and in AI-powered microscopes.
Accelerate genomic sequencing from sample to clinical report with AI-based basecalling in next-generation sequencers and optimized genomic analysis for genomes, exomes, and gene panels.
Improve patient care by processing multiple streams of high-bandwidth data while providing insights in real time.
The future of medical devices is AI-powered. From model creation to development and deployment, the NVIDIA Clara Holoscan platform provides powerful hardware and software to clinical and research teams building the next generation of medical devices.
Quickly build, train and deploy AI models with MONAI. Use NVIDIA FLARE™ for federated learning paradigms to create more robust and generalizable models, sharing only model weights in a privacy-preserved environment.
Validate AI models with the NVIDIA Clara™ Holoscan Developer Kit and SDK—the development platform designed specifically for medical devices and instruments.
Deploy production-grade AI models in medical devices with Clara Holoscan MGX software and hardware, optimized for low-latency, real-time healthcare AI and imaging applications at the edge.
At the University of California, Berkeley’s Advanced Bioimaging Center, lightsheet microscopy researchers are using NVIDIA Clara Holoscan with NVIDIA IndeX® to automatically detect cellular activities in real time.
NVIDIA Clara Holoscan seamlessly bridges medical devices with the data center, supporting innovators building signal processing, AI inference, and visualization workflows for a software-defined medical device ecosystem that spans radiology, ultrasound, endoscopy, robotic surgery, patient monitoring, and beyond.
Because blood flow can exceed the rate at which ultrasound color doppler imaging can capture images, aliasing artifacts can occur and obscure visualizations. The LITMUS group at the University of Waterloo used NVIDIA Clara Holoscan to better visualize blood flow and also increased the frame rate from 2fps to 30 fps.
Capturing clear diagnostic images of a beating heart and its vasculature is challenging in cardiac computed tomography (CT) imaging. Fujifilm Healthcare overcame this challenge with NVIDIA GPUs, adding premium capabilities to scanners via a software enhancement and avoiding costly redesigns and manufacturing upgrades.
Innovation in medical device technology combined with AI is giving healthcare professionals better decision-making tools to deliver care in robot-assisted surgery, interventional radiology, radiation therapy planning, and more. Learn how NVIDIA Clara Holoscan is helping companies build and deploy software-defined medical devices.
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