Medical Devices – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-16T15:45:00Z http://www.open-lab.net/blog/feed/ Ansley Dunn <![CDATA[Easily Build Edge AI Apps with Dynamic Flow Control in NVIDIA Holoscan 3.0]]> http://www.open-lab.net/blog/?p=97746 2025-04-23T00:08:15Z 2025-03-20T13:30:00Z NVIDIA announced at GTC 2025 the release of NVIDIA Holoscan 3.0, the real-time AI sensor processing platform. This latest version provides dynamic flow control,...]]> NVIDIA announced at GTC 2025 the release of NVIDIA Holoscan 3.0, the real-time AI sensor processing platform. This latest version provides dynamic flow control,...

NVIDIA announced at GTC 2025 the release of NVIDIA Holoscan 3.0, the real-time AI sensor processing platform. This latest version provides dynamic flow control, empowering developers to design more robust, scalable, and efficient systems. With physical AI rapidly evolving, Holoscan 3.0 is built to adapt, making it easier than ever to tackle the challenges of today��s dynamic environments.

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Katie Link <![CDATA[Build a Generative AI Medical Device Training Assistant with NVIDIA NIM Microservices]]> http://www.open-lab.net/blog/?p=94379 2024-12-20T19:55:30Z 2024-12-20T18:00:00Z Innovation in medical devices continues to accelerate, with a record number authorized by the FDA every year. When these new or updated devices are introduced...]]> Innovation in medical devices continues to accelerate, with a record number authorized by the FDA every year. When these new or updated devices are introduced...A surgeon using a medical device in an operating room.

Innovation in medical devices continues to accelerate, with a record number authorized by the FDA every year. When these new or updated devices are introduced to clinicians and patients, they require training to use them properly and safely. Once in use, clinicians or patients may need help troubleshooting issues. Medical devices are often accompanied by lengthy and technically complex��

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Ian Stewart <![CDATA[Powering the Future of AI-Enabled Medical Devices with NVIDIA Holoscan and RTI Connext]]> http://www.open-lab.net/blog/?p=84866 2024-11-04T22:55:13Z 2024-07-03T20:44:53Z The demand for real-time insights and autonomous decision-making is growing across industries, and healthcare and medical devices are no exception. Relying on...]]> The demand for real-time insights and autonomous decision-making is growing across industries, and healthcare and medical devices are no exception. Relying on...

The demand for real-time insights and autonomous decision-making is growing across industries, and healthcare and medical devices are no exception. Relying on real-time edge AI, the next generation of healthcare promises to deliver more precise treatments, improve patient outcomes, and increase operational efficiencies. Operating rooms of the future, for example��

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Meiran Peng <![CDATA[Build a Zero-Copy AI Sensor Processing Pipeline with OpenCV in NVIDIA Holoscan SDK]]> http://www.open-lab.net/blog/?p=83116 2024-06-13T19:06:01Z 2024-06-05T14:00:00Z NVIDIA Holoscan is the NVIDIA domain-agnostic multimodal real-time AI sensor processing platform that delivers the foundation for developers to build their...]]> NVIDIA Holoscan is the NVIDIA domain-agnostic multimodal real-time AI sensor processing platform that delivers the foundation for developers to build their...

NVIDIA Holoscan is the NVIDIA domain-agnostic multimodal real-time AI sensor processing platform that delivers the foundation for developers to build their end-to-end sensor processing pipeline. NVIDIA Holoscan SDK features include: Holoscan SDK can be used to build streaming AI pipelines for a range of industries and use cases, including medical devices, high-performance computing at��

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Mostafa Toloui <![CDATA[Developing Production-Ready AI Sensor Processing Applications with NVIDIA Holoscan 1.0]]> http://www.open-lab.net/blog/?p=79788 2024-04-09T23:45:13Z 2024-03-20T17:00:00Z Edge AI developers are building AI applications and products for safety-critical and regulated use cases. With NVIDIA Holoscan 1.0, these applications can...]]> Edge AI developers are building AI applications and products for safety-critical and regulated use cases. With NVIDIA Holoscan 1.0, these applications can...

Edge AI developers are building AI applications and products for safety-critical and regulated use cases. With NVIDIA Holoscan 1.0, these applications can incorporate real-time insights and processing in milliseconds. With the recent release of NVIDIA Holoscan 1.0, developers can more easily build production-ready applications for multimodal, real-time sensor processing.

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Mostafa Toloui <![CDATA[Scalable AI Sensor Streaming with Multi-GPU and Multi-Node Capabilities in NVIDIA Holoscan 0.6]]> http://www.open-lab.net/blog/?p=69430 2024-03-13T19:06:10Z 2023-08-18T14:55:14Z Demand for real-time insights and autonomous decision-making is growing in various industries. To meet this demand, we need scalable edge-solution platforms...]]> Demand for real-time insights and autonomous decision-making is growing in various industries. To meet this demand, we need scalable edge-solution platforms...Decorative image showing NVIDIA Holoscan use cases.

Demand for real-time insights and autonomous decision-making is growing in various industries. To meet this demand, we need scalable edge-solution platforms that can effectively process AI-enabled sensor data right at the source and scale out to on-premises or cloud compute resources. However, developers face many challenges in using AI and sensor processing at the edge: Before��

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Julien Jomier <![CDATA[New Reference Applications for Edge AI Developers on HoloHub with NVIDIA Holoscan v0.5]]> http://www.open-lab.net/blog/?p=63821 2024-03-13T19:06:27Z 2023-04-27T16:00:41Z Edge AI applications, whether in airports, cars, military operations, or hospitals, rely on high-powered sensor streaming applications that enable real-time...]]> Edge AI applications, whether in airports, cars, military operations, or hospitals, rely on high-powered sensor streaming applications that enable real-time...Image of a warehouse simulation.

Edge AI applications, whether in airports, cars, military operations, or hospitals, rely on high-powered sensor streaming applications that enable real-time processing and decision-making. With its latest v0.5 release, the NVIDIA Holoscan SDK is ushering in a new wave of sensor-processing capabilities for the next generation of AI applications at the edge. This release also coincides with the��

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Greyson Davis <![CDATA[Accelerate Your Edge AI Journey with NVIDIA IGX Orin Developer Kit]]> http://www.open-lab.net/blog/?p=62047 2023-03-23T20:08:42Z 2023-03-21T16:49:54Z 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...]]> 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...

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 bike. You need the best shocks, tires, brakes, frame, handlebars, and seat. Imagine that all of these parts would come together in one package, preassembled, saving you time and money. NVIDIA IGX Orin offers a similar package to edge��

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Adam Thompson <![CDATA[Developing Streaming Sensor Applications with HoloHub from NVIDIA Holoscan]]> http://www.open-lab.net/blog/?p=61248 2023-06-09T22:40:28Z 2023-03-01T20:36:24Z 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...]]> 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...Collage of signal-processing displays

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Julien Jomier <![CDATA[Rapidly Build AI-Streaming Apps with Python and C++]]> http://www.open-lab.net/blog/?p=59300 2023-05-24T00:11:43Z 2023-01-09T21:00:00Z 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...]]> 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...

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 streams, processing, displaying, archiving, and streaming results or closing a control loop in real time. This requires powerful, efficient, and accurate hardware and software solutions capable of high performance computing.

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Ian Stewart <![CDATA[Deploying AI-Accelerated Medical Devices with NVIDIA Clara Holoscan]]> http://www.open-lab.net/blog/?p=57426 2023-06-12T08:34:09Z 2022-11-15T21:30:00Z 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...]]> 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...

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 robotic surgery to studying new approaches in biology, doctors and scientists need medical devices to evolve into continuous sensing systems to research and treat disease. To realize the next generation of intelligent medical devices��

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Julien Jomier <![CDATA[Powering Ultra-High Speed Frame Rates in AI Medical Devices with the NVIDIA Clara Holoscan SDK]]> http://www.open-lab.net/blog/?p=55002 2023-07-20T16:54:54Z 2022-09-21T15:59:00Z 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...]]> 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...

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 sensor inputs that enable next-generation AI applications can provide surgeons with new levels of real-time awareness and control. To build real-time AI capabilities into medical devices for use cases like surgical navigation��

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Jin Li <![CDATA[AI in Endoscopy: Improving Detection Rates and Visibility with Real-Time Sensing]]> http://www.open-lab.net/blog/?p=54235 2023-06-12T09:01:00Z 2022-08-30T20:23:00Z Clinical applications for AI are improving digital surgery, helping to reduce errors, provide consistency, and enable surgeon augmentations that were previously...]]> Clinical applications for AI are improving digital surgery, helping to reduce errors, provide consistency, and enable surgeon augmentations that were previously...Frame by frame identification and tracking in endoscopy

Clinical applications for AI are improving digital surgery, helping to reduce errors, provide consistency, and enable surgeon augmentations that were previously unimaginable. In endoscopy, a minimally invasive procedure used to examine the interior of an organ or cavity of a body, AI and accelerated computing are enabling better detection rates and visibility.

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Michelle Horton <![CDATA[AI Remotely Detects Parkinson��s Disease During Sleep]]> http://www.open-lab.net/blog/?p=54137 2024-09-05T19:01:14Z 2022-08-29T18:36:02Z 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...]]> 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...

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 analyze a person��s breathing patterns while sleeping and determine whether the subject has Parkinson��s. Recently published in Nature Medicine, the work could lead to earlier detection and treatment. ��Our goal was to create a method for��

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Vanessa Braunstein <![CDATA[Boost AI Medical Device Streaming Workflows with the NVIDIA Clara Holoscan SDK]]> http://www.open-lab.net/blog/?p=49176 2022-11-04T17:56:12Z 2022-06-17T17:00:00Z Advances in edge computing, video cameras, real-time processing, and AI have helped transform medical devices over the years. NVIDIA developed the NVIDIA Clara...]]> Advances in edge computing, video cameras, real-time processing, and AI have helped transform medical devices over the years. NVIDIA developed the NVIDIA Clara...

Advances in edge computing, video cameras, real-time processing, and AI have helped transform medical devices over the years. NVIDIA developed the NVIDIA Clara Holoscan platform to support the development of software-defined AI medical devices. The latest release of the NVIDIA Clara Holoscan SDK 0.2 offers real-time AI inference capabilities and fast I/O for high-performance streaming��

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Yaniv Lazimy <![CDATA[New Sensor Partners Expand Surgical, Ultrasound, and Data Acquisition Capabilities in the NVIDIA Clara Holoscan Platform]]> http://www.open-lab.net/blog/?p=45194 2023-03-22T01:19:13Z 2022-03-22T16:59:00Z New advances in computation make it possible for medical devices to automatically detect, measure, predict, simulate, map, and guide clinical care teams. NVIDIA...]]> New advances in computation make it possible for medical devices to automatically detect, measure, predict, simulate, map, and guide clinical care teams. NVIDIA...

New advances in computation make it possible for medical devices to automatically detect, measure, predict, simulate, map, and guide clinical care teams. NVIDIA Clara Holoscan, the full-stack AI computing platform for medical devices, has added new sensor front-end partners for video capture, ultrasound research, data acquisition, and connection to legacy-medical devices.

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Yaniv Lazimy <![CDATA[Supporting Low-Latency Streaming Video for AI-Powered Medical Devices with Clara Holoscan]]> http://www.open-lab.net/blog/?p=39667 2023-11-02T20:22:10Z 2021-11-15T19:06:18Z NVIDIA Clara Holoscan provides a scalable medical device computing platform for developers to create AI microservices and deliver insights in real time. The...]]> NVIDIA Clara Holoscan provides a scalable medical device computing platform for developers to create AI microservices and deliver insights in real time. The...Closeup of a surgeon at work.

NVIDIA Clara Holoscan provides a scalable medical device computing platform for developers to create AI microservices and deliver insights in real time. The platform optimizes every stage of the data pipeline: from high-bandwidth data streaming and physics-based analysis to accelerated AI inference, and graphic visualizations. The NVIDIA Clara AGX Developer Kit, which is now available��

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Cristiana Dinea <![CDATA[Accelerating Multiorgan Rendering for Radiology and Radiation Therapy with NVIDIA Clara Holoscan]]> http://www.open-lab.net/blog/?p=39984 2023-03-22T01:16:55Z 2021-11-09T09:30:00Z 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...]]> 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...

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 Powell, NVIDIA VP of healthcare, on Nov. 9 at 10:30 a.m. Pacific. Subscribe to NVIDIA healthcare news. NVIDIA Clara Holoscan is the AI computing platform for medical devices that combines hardware systems for low-latency sensor and network��

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Marc Edgar <![CDATA[Developing End-to-End Real-time Applications with the NVIDIA Clara AGX Developer Kit]]> http://www.open-lab.net/blog/?p=36823 2022-11-08T05:58:32Z 2021-09-09T18:25:03Z 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...]]> 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...

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 for ultrasound imaging. The Clara AGX development kit has an Arm CPU and high-performance RTX 6000 GPU. The us4R teamwork provides ultrasound system designers with the ability to develop, prototype, and test end-to-end software-defined��

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Roujia Wang <![CDATA[Building Real-time Dermatology Classification with NVIDIA Clara AGX]]> http://www.open-lab.net/blog/?p=32364 2022-11-08T05:58:46Z 2021-06-08T21:08:55Z 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...]]> 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...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.

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 carcinoma (SCC). Though melanoma only accounts for roughly 1% of all skin cancers, it is the most fatal, metastasizing rapidly without early detection and treatment. This makes early detection critical, as numerous studies show significantly��

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Michael Zephyr <![CDATA[NVIDIA Clara AGX SDK 3.0 Goes Public and Includes New Application Container]]> http://www.open-lab.net/blog/?p=32495 2022-11-08T05:58:56Z 2021-06-04T15:00:00Z 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...]]> 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...

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 build end-to-end streaming workflows for medical imaging. The focus of this release is to provide added support for NGC containers, including TensorFlow and PyTorch frameworks, a new ultrasound application, and updated Transfer Learning��

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Nefi Alarcon <![CDATA[Introducing the Clara AGX High-Performance AI Development Kit for Medical Devices]]> https://news.www.open-lab.net/?p=18820 2022-11-08T05:59:07Z 2020-11-30T14:00:00Z Medical device algorithm research and development has always required a specialized PC with high-end compute power to explore the most advanced...]]> Medical device algorithm research and development has always required a specialized PC with high-end compute power to explore the most advanced...

Medical device algorithm research and development has always required a specialized PC with high-end compute power to explore the most advanced algorithms. The invention of the parallel computing platform and programming model CUDA has driven the integration of NVIDIA GPUs in many medical devices, medical instruments, and models. This has enabled software development cycles for high��

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