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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.
Conference & Training September 19 - 22 | Keynote September 20
AI is creating new possibilities in healthcare. A new generation of software-defined medical devices are enabling real-time sensing, and smart hospitals are improving clinical experiences for better precision medicine. Get the latest innovations across healthcare at GTC22.
The healthcare industry is generating about one-third of the world’s data. Breakthroughs in AI, accelerated computing, and real-time sensing have created new opportunities for drug discovery and healthcare delivery. Transformer AI models are powering a new era of life sciences, helping researchers encode the structure and function of biology and chemistry, making sense of unstructured patient data, and improving detection and diagnosis in medical imaging.
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Artificial intelligence. Machine learning. Robotics and automation. Digital ecosystems. Big data and the cloud. These technologies have incredible potential to advance healthcare for patients around the world. But how are these digital technologies being deployed in today’s operating room, and what impact are they having?
We'll discuss the role of high-level computing and digital twins in transforming surgical subspecialties, specifically neurosurgery. The roles of image segmentation, surgical robotics, and navigation will be explored.
The life cycle of medical AI involves labeling data, training models, building and optimizing AI applications, and finally deploying and monitoring these applications in clinical production. Project MONAI has a rich suite of tools that can help researchers and data scientists label data and train top-performing models rapidly. Clara Holoscan allows engineers to then take these models and package them into optimized AI applications that can be safely deployed in a production setting.
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.
From training AI models and building medical AI applications to conducting preproduction verification and deploying at the edge and in the cloud, the NVIDIA Clara™ Holoscan platform provides powerful hardware and software for building the next generation of medical devices. NVIDIA Clara Holoscan allows companies to explore new AI-powered capabilities, accelerate time to market, and lower development and maintenance costs.
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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