NVIDIA today launched a cloud service for medical imaging AI to further streamline and accelerate the creation of ground-truth data and training of specialized AI models through fully managed, cloud-based application programming interfaces.
NVIDIA MONAI cloud APIs - announced at the annual meeting of RSNA, the Radiological Society of North America, taking place this week in Chicago - provide an expedited path for developers and platform providers to integrate AI into their medical imaging offerings using pretrained foundation models and AI workflows for enterprises. The APIs are built on the open-source MONAI project founded by NVIDIA and King's College London.
Medical imaging is critical across healthcare, making up approximately 90% of healthcare data. It's used by radiologists and clinicians to do screening, diagnosis and intervention, by biopharma researchers to evaluate how clinical trial patients respond to new drugs and by medical device makers to provide real-time decision support.
The scale of work across each of these areas requires a medical imaging-specific AI factory - an enterprise-grade platform that delivers large-scale data management, creates ground-truth annotations, accelerates model development and establishes seamless AI application deployment.
With NVIDIA MONAI cloud APIs, solution providers can more easily integrate AI into their medical imaging platforms, enabling them to provide supercharged tools for radiologists, researchers and clinical trial teams to build domain-specialized AI factories. The APIs are available in early access through the NVIDIA DGX Cloud AI supercomputing service.
The NVIDIA MONAI cloud API is integrated into Flywheel, a leading medical imaging data and AI platform that supports end-to-end workflows for AI development. Developers at medical image annotation companies including RedBrick AI and at machine learning operations (MLOps) platform providers including Dataiku are poised to integrate NVIDIA MONAI cloud APIs into their offerings.
Easy-to-Deploy Annotation and Training for Medical Imaging Building efficient and cost-effective AI solutions requires a robust, domain-specialized development foundation that includes full-stack optimizations for software, scalable multi-node systems and state-of-the-art research. It also requires high-quality ground-truth data - which can be arduous and time-consuming to gather, particularly for 3D medical images that require a high level of expertise to annotate.
NVIDIA MONAI cloud APIs feature interactive annotation powered by the VISTA-3D (Vision Imaging Segmentation and Annotation) foundation model. It's purpose-built for continuous learning, a capability that improves AI model performance based on user feedback and new data.
Trained on a dataset of annotated images from 3D CT scans from more than 4,000 patients, spanning various diseases and parts of the body, VISTA-3D accelerates the creation of 3D segmentation masks for medical image analysis. With continuous learning, the AI model's annotation quality improves over time.
To further accelerate AI training, this release includes APIs that make it seamless to build custom models based on MONAI pretrained models. NVIDIA MONAI cloud APIs also include Auto3DSeg, which automates hyperparameter tuning and AI model selection for a given 3D segmentation task, simplifying the model development process.
NVIDIA researchers recently won four challenges at the MICCAI medical imaging conference using Auto3DSeg. These included AI models to analyze 3D CT scans of the kidneys and heart, brain MRIs and 3D ultrasounds of the heart.
Solutions Providers, Platform Builders Embrace NVIDIA MONAI Cloud APIs Medical imaging solution providers and machine learning platforms are using NVIDIA MONAI cloud APIs to deliver critically valuable AI insights to accelerate their customers' work.
Flywheel has integrated MONAI through NVIDIA AI Enterprise and is now offering NVIDIA MONAI cloud APIs to accelerate medical image curation, labeling analysis and training. The Minneapolis-based company's centralized, cloud-based platform powers biopharma companies, life science organizations, healthcare providers and academic medical centers to identify, curate and train medical imaging data for the development of trustworthy AI.
NVIDIA MONAI cloud APIs lower the cost of building high-quality AI models for radiology, disease research and the evaluation of clinical trial data, said Dan Marcus, chief scientific officer at Flywheel. With the addition of cloud APIs for interactive annotation and automated segmentation, customers of our medical imaging AI platform can accelerate AI model development to more quickly deliver innovative solutions.
Annotation and viewer solution providers, including Redbrick AI, Radical Imaging, V7 Labs and Centaur Labs, will also use NVIDIA MONAI cloud APIs to bring AI-assisted annotation and training capabilities to market faster, without having to host and manage the AI infrastructure on their own.
RedBrick AI is integrating the VISTA-3D model available through NVIDIA MONAI cloud APIs to deliver interactive cloud annotation for its medical device customers that support distributed teams of clinicians.
VISTA-3D allows our clients to rapidly build models across different modalities and conditions, said Shivam Sharma, CEO of RedBrick AI. The foundation model is generalizable, making it easy to fine-tune for various clinical applications with accurate, reliable segmentation results.
To streamline enterprise AI model development, MLOps platform builders including Dataiku, ClearML and Weight & Biases are also investigating the use of NVIDIA MONAI cloud APIs.
Dataiku plans to integrate NVIDIA MONAI cloud APIs to further simplify AI model creation for medical imaging applications.
With NVIDIA MONAI cloud APIs, Dataiku users wo
More from Nvidia
06/09/2024
Customer service departments across industries are facing increased call volumes, high customer service agent turnover, talent shortages and shifting customer e...
05/09/2024
Fall will be here soon, so leaf it to GeForce NOW to bring the games, with 19 joining the cloud in September.
Get started with the seven games available to str...
05/09/2024
The business transformations that generative AI brings come with risks that AI itself can help secure in a kind of flywheel of progress.
Companies who were qui...
04/09/2024
Volvo Cars' new, fully electric EX90 is making its way from the automaker's assembly line in Charleston, South Carolina, to dealerships around the U.S.
...
04/09/2024
Editor's note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible, and showcases new hardware, softwa...
04/09/2024
Edward Mehr works where AI meets the anvil. The company he cofounded, Machina L...
04/09/2024
It all started at Berlin's Merantix venture studio in 2022, when Silviu Homo...
29/08/2024
Well before OpenAI upended the technology industry with its release of ChatGPT i...
29/08/2024
It's time to mana-fest the spirit of adventure with Square Enix's highly anticipated action role-playing game, Visions of Mana, launching today in the c...
28/08/2024
As enterprises race to adopt generative AI and bring new services to market, the demands on data center infrastructure have never been greater. Training large l...
28/08/2024
Editor's note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible, and showcases new hardware, softwa...
27/08/2024
The initial wave of generative AI was driven by its use in internet services tha...
27/08/2024
Aiming at making the process faster and smarter, NVIDIA on Wednesday released th...
26/08/2024
Nations around the world are pursuing sovereign AI to produce artificial intelligence using their own computing infrastructure, data, workforce and business net...
23/08/2024
A deep technology conference for processor and system architects from industry a...
22/08/2024
Straight out of Gamescom, NVIDIA introduced GeForce NOW support for Xbox automat...
21/08/2024
Snowflake is using AI to help enterprises transform data into insights and applications. In this episode of NVIDIA's AI Podcast, host Noah Kravitz and Baris...
21/08/2024
Developers of generative AI typically face a tradeoff between model size and acc...
21/08/2024
Editor's note: This post is part of the AI Decoded series, which demystifies...
20/08/2024
At Gamescom, the world's biggest gaming expo, NVIDIA has once again pushed t...
20/08/2024
India is home to the globe's second-largest road network, spanning nearly 4 ...
20/08/2024
Picture this: NVIDIA and MediaTek are working together to make the industry's best gaming display technologies more accessible to gamers globally.
The comp...
20/08/2024
NVIDIA's first digital human technology small language model is being demons...
20/08/2024
Each week, GeForce NOW elevates cloud gaming by bringing top PC games and new up...
19/08/2024
As hurricanes, tornadoes and other extreme weather events occur with increased f...
15/08/2024
Time to be wowed: GeForce NOW members can now stream World of Warcraft on suppor...
14/08/2024
Editor's note: This post is part of the AI Decoded series, which demystifies...
13/08/2024
Bringing together the world's brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the b...
09/08/2024
The State of California today announced a first-of-its-kind AI education initiative with NVIDIA.
The public-private collaboration supports the state's goal...
08/08/2024
Editor's note: This blog was updated on Aug. 9 to reflect changes to the availability of Warhammer 40,000: Speed Freeks.'
This GFN Thursday marks 2,00...
08/08/2024
Silicon Valley's Figure has taken the wraps off of its next-generation Figur...
07/08/2024
Editor's note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible, and showcases new hardware, softwa...
07/08/2024
Techbio is a field combining data, technology and biology to enhance scientific ...
06/08/2024
High school student Selin Alara Ornek is looking ahead - using machine learning and the NVIDIA Jetson platform for edge AI and robotics to create robot guide do...
06/08/2024
Editor's note: This post is part of our In the NVIDIA Studio series, which c...
01/08/2024
Members can choose their own adventure with GeForce NOW bringing 18 new games to the cloud in August - including Square Enix's fantasy role-playing game Vis...
31/07/2024
Enterprises are rapidly adopting generative AI, large language models (LLMs), ad...
31/07/2024
NVIDIA researchers used NVIDIA Edify, a multimodal architecture for visual generative AI, to build a detailed 3D desert landscape within a few minutes in a live...
31/07/2024
In celebration of Zoox's 10th anniversary, NVIDIA founder and CEO Jensen Huang recently joined the robotaxi company's CEO, Aicha Evans, and its cofounde...
31/07/2024
Editor's note: This post is part of the AI Decoded series, which demystifies...
29/07/2024
Designers and artists have new and improved ways to boost their productivity wit...
29/07/2024
Millions of people already use generative AI to assist in writing and learning. ...
29/07/2024
One of the world's largest AI communities - comprising 4 million developers on the Hugging Face platform - is gaining easy access to NVIDIA-accelerated infe...
29/07/2024
Generative AI is unlocking new ways for enterprises to engage customers through ...
29/07/2024
The world's brands and agencies are using generative AI to create advertising and marketing content, but it doesn't always provide the desired outputs.
...
29/07/2024
NVIDIA announced at SIGGRAPH fVDB, a new deep-learning framework for generating ...
29/07/2024
When The Coca-Cola Company produces thirst-quenching marketing, the creative ele...
29/07/2024
The generative AI revolution - with deep roots in visual computing - is amplifying human creativity even as accelerated computing promises significant gains in ...
29/07/2024
In a highly anticipated fireside chat at SIGGRAPH 2024, NVIDIA founder and CEO J...
NVIDIA today launched a cloud service for medical imaging AI to further streamline and accelerate the creation of ground-truth data and training of specialized AI models through fully managed, cloud-based application programming interfaces.
