Medical Devices

Decorative image showing NVIDIA Holoscan use cases.
Aug 18, 2023

Scalable AI Sensor Streaming with Multi-GPU and Multi-Node Capabilities in NVIDIA Holoscan 0.6

Demand for real-time insights and autonomous decision-making is growing in various industries. To meet this demand, we need scalable edge-solution platforms...
6 MIN READ
Image of a warehouse simulation.
Apr 27, 2023

New Reference Applications for Edge AI Developers on HoloHub with NVIDIA Holoscan v0.5

Edge AI applications, whether in airports, cars, military operations, or hospitals, rely on high-powered sensor streaming applications that enable real-time...
10 MIN READ
Mar 21, 2023

Accelerate Your Edge AI Journey with NVIDIA IGX Orin Developer Kit

Imagine you are about to embark on the mountain biking adventure of a lifetime. You have done all of the planning and training. Now, all you need is the perfect...
6 MIN READ
Collage of signal-processing displays
Mar 01, 2023

Developing Streaming Sensor Applications with HoloHub from NVIDIA Holoscan

The average car contains over 100 sensors to both monitor and respond to vital information. Ranging from an overheating engine to low tire pressure and erratic...
9 MIN READ
Jan 09, 2023

Rapidly Build AI-Streaming Apps with Python and C++

The computational needs for AI processing of sensor streams at the edge are increasingly demanding. Edge devices must keep up with high rates of incoming data...
5 MIN READ
Nov 15, 2022

Deploying AI-Accelerated Medical Devices with NVIDIA Clara Holoscan

The ability to deploy real-time AI in clinics and research facilities is critical to enable the next frontiers in surgery, diagnostics, and drug discovery. From...
6 MIN READ
Sep 21, 2022

Powering Ultra-High Speed Frame Rates in AI Medical Devices with the NVIDIA Clara Holoscan SDK

In the operating room, the latency and reliability of surgical video streams can make all the difference for patient outcomes. Ultra-high-speed frame rates from...
7 MIN READ
Frame by frame identification and tracking in endoscopy
Aug 30, 2022

AI in Endoscopy: Improving Detection Rates and Visibility with Real-Time Sensing

Clinical applications for AI are improving digital surgery, helping to reduce errors, provide consistency, and enable surgeon augmentations that were previously...
4 MIN READ
Aug 29, 2022

AI Remotely Detects Parkinson’s Disease During Sleep

Doctors could soon evaluate Parkinson’s disease by having patients do one simple thing—sleep. A new study led by MIT researchers trains a neural network to...
4 MIN READ
Jun 17, 2022

Boost AI Medical Device Streaming Workflows with the NVIDIA Clara Holoscan SDK

Advances in edge computing, video cameras, real-time processing, and AI have helped transform medical devices over the years. NVIDIA developed the NVIDIA Clara...
6 MIN READ
Mar 22, 2022

New Sensor Partners Expand Surgical, Ultrasound, and Data Acquisition Capabilities in the NVIDIA Clara Holoscan Platform

New advances in computation make it possible for medical devices to automatically detect, measure, predict, simulate, map, and guide clinical care teams. NVIDIA...
5 MIN READ
Closeup of a surgeon at work.
Nov 15, 2021

Supporting Low-Latency Streaming Video for AI-Powered Medical Devices with Clara Holoscan

NVIDIA Clara Holoscan provides a scalable medical device computing platform for developers to create AI microservices and deliver insights in real time. The...
5 MIN READ
Nov 09, 2021

Accelerating Multiorgan Rendering for Radiology and Radiation Therapy with NVIDIA Clara Holoscan

Watch NVIDIA founder and CEO  Jensen Huang’s GTC keynote address streaming on Nov. 9 and in replay. Tune in to a healthcare special address by Kimberly...
13 MIN READ
Sep 09, 2021

Developing End-to-End Real-time Applications with the NVIDIA Clara AGX Developer Kit

The NVIDIA Clara AGX development kit with the us4R ultrasound development system makes it possible to quickly develop and test a real-time AI processing system...
10 MIN READ
A 3-step diagram showing the workflow for skin mole detection and classification. Starting from an input, moving to the YOLOv4 model for detection, and ending with an EfficientNet model for final classification.
Jun 08, 2021

Building Real-time Dermatology Classification with NVIDIA Clara AGX

The most commonly diagnosed cancer in the US today is skin cancer. There are three main variants: melanoma, basal cell carcinoma (BCC), and squamous cell...
4 MIN READ
Jun 04, 2021

NVIDIA Clara AGX SDK 3.0 Goes Public and Includes New Application Container

NVIDIA Clara AGX SDK 3.0 is available today! The Clara AGX SDK runs on the NVIDIA Jetson and Clara AGX platform and provides developers with capabilities to...
2 MIN READ