MONAI – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-09T19:00:00Z http://www.open-lab.net/blog/feed/ Michael Zephyr <![CDATA[MONAI Integrates Advanced Agentic Architectures to Establish Multimodal Medical AI Ecosystem]]> http://www.open-lab.net/blog/?p=97638 2025-04-23T00:26:59Z 2025-03-19T16:00:00Z The growing volume and complexity of medical data��and the pressing need for early disease diagnosis and improved healthcare efficiency��are driving...]]> The growing volume and complexity of medical data��and the pressing need for early disease diagnosis and improved healthcare efficiency��are driving...

The growing volume and complexity of medical data��and the pressing need for early disease diagnosis and improved healthcare efficiency��are driving unprecedented advancements in medical AI. Among the most transformative innovations in this field are multimodal AI models that simultaneously process text, images, and video. These models offer a more comprehensive understanding of patient data than��

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Mostafa Toloui <![CDATA[Introducing NVIDIA Isaac for Healthcare, an AI-Powered Medical Robotics Development Platform]]> http://www.open-lab.net/blog/?p=97137 2025-04-23T00:25:02Z 2025-03-18T20:30:00Z The future of MedTech is robotic��hospitals will be fully automated, with AI-driven surgical systems, robotic assistants, and autonomous patient care...]]> The future of MedTech is robotic��hospitals will be fully automated, with AI-driven surgical systems, robotic assistants, and autonomous patient care...A patient laying on a doctor's table with a robotic arm examining them.

The future of MedTech is robotic��hospitals will be fully automated, with AI-driven surgical systems, robotic assistants, and autonomous patient care transforming healthcare as we know it. Building AI-driven robotic systems poses several key challenges. Integrating data collection with expert insights is one. Creating detailed biomechanical simulations for realistic anatomy, sensors��

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Douglas Moore <![CDATA[Accelerate Medical Imaging AI Operations with Databricks Pixels 2.0 and MONAI]]> http://www.open-lab.net/blog/?p=96530 2025-04-23T02:39:52Z 2025-02-28T18:11:50Z According to the World Health Organization (WHO), 3.6 billion medical imaging tests are performed every year globally to diagnose, monitor, and treat various...]]> According to the World Health Organization (WHO), 3.6 billion medical imaging tests are performed every year globally to diagnose, monitor, and treat various...

According to the World Health Organization (WHO), 3.6 billion medical imaging tests are performed every year globally to diagnose, monitor, and treat various conditions. Most of these images are stored in a globally recognized standard called DICOM (Digital Imaging and Communications in Medicine). Imaging studies in DICOM format are a combination of unstructured images and structured metadata.

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Brad Nemire <![CDATA[Featured Researcher and Educator Sessions at NVIDIA GTC 2025]]> http://www.open-lab.net/blog/?p=95817 2025-02-06T19:33:45Z 2025-02-05T23:03:06Z Explore the latest advancements in academia, including advanced research, innovative teaching methods, and the future of learning and technology.]]> Explore the latest advancements in academia, including advanced research, innovative teaching methods, and the future of learning and technology.

Explore the latest advancements in academia, including advanced research, innovative teaching methods, and the future of learning and technology.

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Michael Zephyr <![CDATA[Celebrating Open Science and Enterprise AI Innovation on MONAI��s 5th Anniversary]]> http://www.open-lab.net/blog/?p=92886 2024-12-20T18:35:40Z 2024-12-05T22:13:17Z As MONAI celebrates its fifth anniversary, we're witnessing the convergence of our vision for open medical AI with production-ready enterprise solutions. ...]]> As MONAI celebrates its fifth anniversary, we're witnessing the convergence of our vision for open medical AI with production-ready enterprise solutions. ...Simulated 2D and 3D CT scans.

As MONAI celebrates its fifth anniversary, we��re witnessing the convergence of our vision for open medical AI with production-ready enterprise solutions. This announcement brings two exciting developments: the release of MONAI Core v1.4, expanding open-source capabilities, and the general availability of VISTA-3D and MAISI as NVIDIA NIM microservices. This dual release reflects our��

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Tianna Nguy <![CDATA[NVIDIA GTC Training Labs On Demand Available Now]]> http://www.open-lab.net/blog/?p=82157 2024-05-07T17:47:17Z 2024-05-07T17:02:57Z Missed GTC or want to replay your favorite training labs? Find it on demand with the NVIDIA GTC Training Labs playlist.]]> Missed GTC or want to replay your favorite training labs? Find it on demand with the NVIDIA GTC Training Labs playlist.nearly 100 training labs from GTC available on demand

Missed GTC or want to replay your favorite training labs? Find it on demand with the NVIDIA GTC Training Labs playlist.

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Mahesh Khadatare <![CDATA[Advancing Medical Image Decoding with GPU-Accelerated nvImageCodec]]> http://www.open-lab.net/blog/?p=81155 2024-04-18T20:14:59Z 2024-04-17T20:30:00Z This post delves into the capabilities of decoding DICOM medical images within AWS HealthImaging using the nvJPEG2000 library. We'll guide you through the...]]> This post delves into the capabilities of decoding DICOM medical images within AWS HealthImaging using the nvJPEG2000 library. We'll guide you through the...

This post delves into the capabilities of decoding DICOM medical images within AWS HealthImaging using the nvJPEG2000 library. We��ll guide you through the intricacies of image decoding, introduce you to AWS HealthImaging, and explore the advancements enabled by GPU-accelerated decoding solutions. Embarking on a journey to enhance throughput and reduce costs in deciphering medical images��

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Michael Zephyr <![CDATA[Breaking Barriers in Healthcare with New Models for Generative AI and Cellular Imaging]]> http://www.open-lab.net/blog/?p=79523 2024-04-09T23:45:17Z 2024-03-19T15:00:00Z Driving the future of healthcare imaging, NVIDIA MONAI microservices are creating unique state-of-the-art models and expanded modalities to meet the demands of...]]> Driving the future of healthcare imaging, NVIDIA MONAI microservices are creating unique state-of-the-art models and expanded modalities to meet the demands of...

Driving the future of healthcare imaging, NVIDIA MONAI microservices are creating unique state-of-the-art models and expanded modalities to meet the demands of the healthcare and biopharma industry. The latest update introduces a suite of new features designed to further enhance the capabilities and efficiency of medical imaging workflows. This post explores the following new features��

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Michael Zephyr <![CDATA[Accelerate AI Workflows for 3D Medical Imaging with NVIDIA MONAI Cloud APIs]]> http://www.open-lab.net/blog/?p=74071 2024-02-15T18:42:55Z 2023-11-26T14:00:00Z AI is increasingly being used to improve medical imaging for health screenings and risk assessments. Medical image segmentation, for example, provides vital...]]> AI is increasingly being used to improve medical imaging for health screenings and risk assessments. Medical image segmentation, for example, provides vital...

AI is increasingly being used to improve medical imaging for health screenings and risk assessments. Medical image segmentation, for example, provides vital data for tumor detection and treatment planning. And yet the unique and varied nature of medical images makes achieving consistent and reliable results challenging. NVIDIA MONAI Cloud APIs help solve these challenges��

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Keerthi Ram <![CDATA[Whole Human Brain Neuro-Mapping at Cellular Resolution on NVIDIA DGX]]> http://www.open-lab.net/blog/?p=71819 2023-11-16T19:16:42Z 2023-11-08T17:55:53Z Whole human brain imaging of 100 brains at a cellular level within a 2-year timespan, and subsequent analysis and mapping, requires accelerated supercomputing...]]> Whole human brain imaging of 100 brains at a cellular level within a 2-year timespan, and subsequent analysis and mapping, requires accelerated supercomputing...Photo of Indian women working at computers in a lab.

Whole human brain imaging of 100 brains at a cellular level within a 2-year timespan, and subsequent analysis and mapping, requires accelerated supercomputing and computational tools. This need is well matched by NVIDIA technologies, which range across hardware, computational systems, high-bandwidth interconnects, domain-specific libraries, accelerated toolboxes, curated deep-learning models��

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Jonny Hancox <![CDATA[Whole Slide Image Analysis in Real Time with MONAI and RAPIDS]]> http://www.open-lab.net/blog/?p=67984 2023-11-20T23:08:09Z 2023-07-13T17:00:00Z Digital pathology slide scanners generate massive images. Glass slides are routinely scanned at 40x magnification, resulting in gigapixel images. Compression...]]> Digital pathology slide scanners generate massive images. Glass slides are routinely scanned at 40x magnification, resulting in gigapixel images. Compression...Biospecimen

Digital pathology slide scanners generate massive images. Glass slides are routinely scanned at 40x magnification, resulting in gigapixel images. Compression can reduce the file size to 1 or 2 GB per slide, but this volume of data is still challenging to move around, save, load, and view. To view a typical whole slide image at full resolution would require a monitor about the size of a tennis��

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Yucheng Tang <![CDATA[Visual Foundation Models for Medical Image Analysis]]> http://www.open-lab.net/blog/?p=66710 2023-06-29T19:00:44Z 2023-06-20T16:00:00Z The analysis of 3D medical images is crucial for advancing clinical responses, disease tracking, and overall patient survival. Deep learning models form the...]]> The analysis of 3D medical images is crucial for advancing clinical responses, disease tracking, and overall patient survival. Deep learning models form the...Image of torso from medical segmentation scan.

The analysis of 3D medical images is crucial for advancing clinical responses, disease tracking, and overall patient survival. Deep learning models form the backbone of modern 3D medical representation learning, enabling precise spatial context measurements that are essential for clinical decision-making. These 3D representations are highly sensitive to the physiological properties of medical��

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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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Michael Zephyr <![CDATA[MONAI Reaches 1 Million Download Milestone Driven by Research Breakthroughs and Clinical Adoption]]> http://www.open-lab.net/blog/?p=61986 2023-03-23T17:21:25Z 2023-03-21T18:00:00Z MONAI, the domain-specific, open-source medical imaging AI framework that drives research breakthroughs and accelerates AI into clinical impact, has now been...]]> MONAI, the domain-specific, open-source medical imaging AI framework that drives research breakthroughs and accelerates AI into clinical impact, has now been...

MONAI, the domain-specific, open-source medical imaging AI framework that drives research breakthroughs and accelerates AI into clinical impact, has now been downloaded by over 1M data scientists, developers, researchers, and clinicians. The 1M mark represents a major milestone for the medical open network for AI, which has powered numerous research breakthroughs and introduced new developer tools��

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David Bericat <![CDATA[Taking AI into Clinical Production with MONAI Deploy]]> http://www.open-lab.net/blog/?p=57609 2022-12-01T19:52:28Z 2022-11-28T14:00:00Z With a wide breadth of open source, accelerated AI frameworks at their fingertips, medical AI developers and data scientists are introducing new algorithms for...]]> With a wide breadth of open source, accelerated AI frameworks at their fingertips, medical AI developers and data scientists are introducing new algorithms for...

With a wide breadth of open source, accelerated AI frameworks at their fingertips, medical AI developers and data scientists are introducing new algorithms for clinical applications at an extraordinary rate. Many of these models are nothing short of groundbreaking, yet 87% of data science projects never make it into production. In most data science teams, model developers lack a fast��

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Brad Genereaux <![CDATA[MONAI Drives Medical AI on Google Cloud with Medical Imaging Suite]]> http://www.open-lab.net/blog/?p=56415 2022-11-03T17:45:25Z 2022-10-25T21:00:00Z Medical imaging is an essential instrument for healthcare, powering screening, diagnostics, and treatment workflows around the world. Innovations and...]]> Medical imaging is an essential instrument for healthcare, powering screening, diagnostics, and treatment workflows around the world. Innovations and...

Medical imaging is an essential instrument for healthcare, powering screening, diagnostics, and treatment workflows around the world. Innovations and breakthroughs in computer vision are transforming the healthcare landscape with new SDKs accelerating this renaissance. MONAI, the Medical Open Network for AI, houses many of these SDKs in its open-source suite built to drive medical AI��

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Michelle Horton <![CDATA[Upcoming Event: Healthcare & Life Sciences Developer Summit November 10, 2022]]> http://www.open-lab.net/blog/?p=56367 2023-06-12T08:42:36Z 2022-10-24T16:00:00Z A virtual event designed for healthcare developers and startups, this summit on November 10, 2022 offers a full day of technical talks to reach developers and...]]> A virtual event designed for healthcare developers and startups, this summit on November 10, 2022 offers a full day of technical talks to reach developers and...

A virtual event designed for healthcare developers and startups, this summit on November 10, 2022 offers a full day of technical talks to reach developers and technical leaders in the EMEA region. Get best practices and insights for applications, from biopharma to medical imaging.

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Tanya Lenz <![CDATA[Upcoming Webinar: A Deep Dive into MONAI]]> http://www.open-lab.net/blog/?p=56371 2023-08-18T20:36:29Z 2022-10-21T17:12:31Z Join us on October 24 for a deep dive into MONAI, the essential framework for AI workflows in healthcare��including use cases, building blocks, and more.]]> Join us on October 24 for a deep dive into MONAI, the essential framework for AI workflows in healthcare��including use cases, building blocks, and more.

Join us on October 24 for a deep dive into MONAI, the essential framework for AI workflows in healthcare��including use cases, building blocks, and more.

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Erik Pounds <![CDATA[New Languages, Enhanced Cybersecurity, and Medical AI Frameworks Unveiled at GTC]]> http://www.open-lab.net/blog/?p=54868 2023-05-23T23:52:54Z 2022-09-21T15:18:00Z At GTC 2022, NVIDIA introduced enhancements to AI frameworks for building real-time speech AI applications, designing high-performing recommenders at scale,...]]> At GTC 2022, NVIDIA introduced enhancements to AI frameworks for building real-time speech AI applications, designing high-performing recommenders at scale,...

At GTC 2022, NVIDIA introduced enhancements to AI frameworks for building real-time speech AI applications, designing high-performing recommenders at scale, applying AI to cybersecurity challenges, creating AI-powered medical devices, and more. Showcased real-world, end-to-end AI frameworks highlighted the customers and partners leading the way in their industries and domains.

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Michael Zephyr <![CDATA[Open-Source Healthcare AI Innovation Continues to Expand with MONAI v1.0]]> http://www.open-lab.net/blog/?p=55055 2023-06-12T08:53:54Z 2022-09-21T14:30:00Z Developing for the medical imaging AI lifecycle is a time-consuming and resource-intensive process that typically includes data acquisition, compute, and...]]> Developing for the medical imaging AI lifecycle is a time-consuming and resource-intensive process that typically includes data acquisition, compute, and...

Developing for the medical imaging AI lifecycle is a time-consuming and resource-intensive process that typically includes data acquisition, compute, and training time, and a team of experts who are knowledgeable in creating models suited to your specific challenge. Project MONAI, the medical open network for AI, is continuing to expand its capabilities to help make each of these hurdles easier no��

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Prerna Dogra <![CDATA[How MONAI Fuels Open Research for Medical AI Workflows]]> http://www.open-lab.net/blog/?p=49369 2023-06-12T09:27:53Z 2022-08-02T16:00:00Z It's never been more important to put powerful AI tools in the hands of the world's leading medical researchers. That��s why NVIDIA has invested in building a...]]> It's never been more important to put powerful AI tools in the hands of the world's leading medical researchers. That��s why NVIDIA has invested in building a...

It��s never been more important to put powerful AI tools in the hands of the world��s leading medical researchers. That��s why NVIDIA has invested in building a collaborative open-source foundation with MONAI, the Medical Open Network for AI. MONAI is fueling open innovation for medical imaging by providing tools that accelerate image annotation, train state-of-the-art deep learning models��

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Michael Zephyr <![CDATA[MONAI Leaps Forward with AutoML-Powered Model Development and Cloud-Native Deployments]]> http://www.open-lab.net/blog/?p=41661 2022-08-21T23:53:08Z 2021-11-29T14:00:00Z Project MONAI continues to expand its end-to-end workflow with new releases and a new subproject called MONAI Deploy Inference Service. Project MONAI is...]]> Project MONAI continues to expand its end-to-end workflow with new releases and a new subproject called MONAI Deploy Inference Service. Project MONAI is...Graphic showing logos of MONAI Application Packages + HELM

Project MONAI continues to expand its end-to-end workflow with new releases and a new subproject called MONAI Deploy Inference Service. Project MONAI is releasing three new updates to existing frameworks, MONAI v0.8, MONAI Label v0.3, and MONAI Deploy App SDK v0.2. It��s also expanding its MONAI Deploy subsystem with the MONAI Deploy Inference Service (MIS), a server that runs MONAI��

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Michael Zephyr <![CDATA[MONAI Bridges the Gap from Innovative Research to Clinical Production]]> http://www.open-lab.net/blog/?p=37958 2022-08-21T23:52:44Z 2021-09-30T20:42:22Z Project MONAI is releasing MONAI v0.7, MONAI Label v0.2, MONAI Deploy v0.1, and announcing the MONAI Stream working group. The MONAI Deploy working group is...]]> Project MONAI is releasing MONAI v0.7, MONAI Label v0.2, MONAI Deploy v0.1, and announcing the MONAI Stream working group. The MONAI Deploy working group is...Graphic of MONIA workflow.

Project MONAI is releasing MONAI v0.7, MONAI Label v0.2, MONAI Deploy v0.1, and announcing the MONAI Stream working group. The MONAI Deploy working group is excited to release the MONAI Deploy Application SDK v0.1, which helps bridge the gap from innovative research to clinical production. While MONAI Core focuses on training and creating models, MONAI Deploy focuses on defining the��

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Vanessa Braunstein <![CDATA[NVIDIA Data Scientists Take Top Spots in MICCAI 2021 Brain Tumor Segmentation Challenge]]> http://www.open-lab.net/blog/?p=38028 2022-08-21T23:52:44Z 2021-09-30T18:56:33Z NVIDIA data scientists this week took three of the top 10 spots in a brain tumor segmentation challenge validation phase at the prestigious MICCAI 2021 medical...]]> NVIDIA data scientists this week took three of the top 10 spots in a brain tumor segmentation challenge validation phase at the prestigious MICCAI 2021 medical...

NVIDIA data scientists this week took three of the top 10 spots in a brain tumor segmentation challenge validation phase at the prestigious MICCAI 2021 medical imaging conference. Now in its tenth year, the BraTS challenge tasked applicants with submitting state-of-the-art AI models for segmenting heterogeneous brain glioblastomas sub-regions in multi-parametric magnetic resonance imaging��

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Michael Zephyr <![CDATA[Join the Virtual MONAI Bootcamp, Sept. 22-24]]> http://www.open-lab.net/blog/?p=36640 2022-08-21T23:52:35Z 2021-08-27T22:22:00Z Due to the success of the 2020 MONAI Virtual Bootcamp, MONAI is hosting another Bootcamp this year from September 22 to September 24, 2021��the week before...]]> Due to the success of the 2020 MONAI Virtual Bootcamp, MONAI is hosting another Bootcamp this year from September 22 to September 24, 2021��the week before...

Due to the success of the 2020 MONAI Virtual Bootcamp, MONAI is hosting another Bootcamp this year from September 22 to September 24, 2021��the week before MICCAI. The MONAI Bootcamp will be a three-day virtual event with presentations, hands-on labs, and a mini-challenge day. Applicants are encouraged but not required to have some basic knowledge in deep learning and Python programming.

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Neha Srivathsa <![CDATA[Accelerating Digital Pathology Pipelines with NVIDIA Clara Deploy]]> http://www.open-lab.net/blog/?p=35259 2022-08-21T23:52:21Z 2021-08-06T00:42:00Z As an undergraduate student excited about AI for healthcare applications, I was thrilled to be joining the NVIDIA Clara Deploy team for an internship. It was...]]> As an undergraduate student excited about AI for healthcare applications, I was thrilled to be joining the NVIDIA Clara Deploy team for an internship. It was...The stain normalization filter accepts a source image and a target image and returns a normalized source image.

As an undergraduate student excited about AI for healthcare applications, I was thrilled to be joining the NVIDIA Clara Deploy team for an internship. It was the perfect combination: the opportunity to work at a leading technology company enabling the acceleration and adoption of AI while contributing to a team building the future (and the present!) of AI deployment for healthcare.

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Michael Zephyr <![CDATA[Clara Train 4.0 Upgrades to MONAI and supports FL with Homomorphic Encryption]]> http://www.open-lab.net/blog/?p=31916 2023-05-24T00:13:40Z 2021-05-26T15:00:00Z NVIDIA recently released Clara Train 4.0, an application framework for medical imaging that includes pre-trained models, AI-Assisted Annotation, AutoML, and...]]> NVIDIA recently released Clara Train 4.0, an application framework for medical imaging that includes pre-trained models, AI-Assisted Annotation, AutoML, and...

NVIDIA recently released Clara Train 4.0, an application framework for medical imaging that includes pre-trained models, AI-Assisted Annotation, AutoML, and Federated Learning. In this 4.0 release, there are three new features to help get you started training quicker. Clara Train has upgraded its underlying infrastructure from TensorFlow to MONAI. MONAI is an open-source��

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Wenqi Li https://wyli1072.appspot.com/ <![CDATA[Accelerating Deep Learning Research in Medical Imaging Using MONAI]]> http://www.open-lab.net/blog/?p=18874 2023-02-10T20:47:10Z 2020-07-08T15:00:00Z The Medical Open Network for AI (MONAI), is a freely available, community-supported, PyTorch-based framework for deep learning in healthcare imaging. It...]]> The Medical Open Network for AI (MONAI), is a freely available, community-supported, PyTorch-based framework for deep learning in healthcare imaging. It...

The Medical Open Network for AI (MONAI), is a freely available, community-supported, PyTorch-based framework for deep learning in healthcare imaging. It provides domain-optimized, foundational capabilities for developing a training workflow. Building upon the GTC 2020 alpha release announcement back in April, MONAI has now released version 0.2 with new capabilities, examples��

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