Nuance Communications and NVIDIA Bring Medical Imaging AI Models Directly into Clinical Settings
Nuance Communications and NVIDIA have partnered to integrate AI-based diagnostic tools into clinical workflows through the Nuance Precision Imaging Network. This collaboration aims to enhance patient care and reduce treatment costs. Mass General Brigham, leveraging this technology, has successfully implemented a breast density AI model, decreasing result waiting times from several days to just 15 minutes. The initiative allows rapid adaptation of AI models, significantly cutting down development costs and improving patient outcomes.
- Mass General Brigham has successfully deployed an AI model, reducing breast scan result wait times from several days to 15 minutes.
- The partnership simplifies deploying AI diagnostic tools, facilitating faster clinical workflows and improved patient outcomes.
- The project enhances AI model adaptation, reducing timelines from years to weeks and development costs.
- None.
Mass General Brigham Among First to Accelerate End-to-End AI Model Development and Deployment in Clinical Workflows on the Nuance Precision Imaging Network
LAS VEGAS, Nov. 14, 2022 /PRNewswire/ -- HLTH—Nuance Communications, Inc., and NVIDIA today announced a partnership that for the first time puts AI-based diagnostic tools directly into the hands of radiologists and other clinicians at scale, enabling the delivery of improved patient care at lower costs.
The partnership brings together the nationwide scale of the Nuance Precision Imaging Network™ — an AI-powered cloud platform that delivers patient insights from diagnostic imaging into clinical and administrative workflows — and MONAI, an open-source and domain-specialized medical-imaging AI framework co-founded and accelerated by NVIDIA. Together, they enable the safe and effective validation, deployment and evaluation of medical imaging AI models.
Mass General Brigham is among the first major medical centers to use MONAI and the Nuance Precision Imaging Network to define a unique workflow that links medical-imaging model development, application packaging, deployment and clinical feedback for model refinement. It has more than 80,000 employees providing care to 1.5 million patients annually, with
Using the combined offering, the medical center has deployed a breast density AI model that has reduced the waiting period for results from several days to just 15 minutes. Women can now talk to a clinician about the results of their scan and discuss next steps before they leave the facility, rather than going through the stress and anxiety of waiting for results.
"With the combination of NVIDIA's and Nuance's technologies, our AI researchers can focus on training and developing their models rather than doing all the plumbing underneath," said Dr. Keith J. Dreyer, Chief Data Science Officer, Mass General Brigham. "That makes it simpler to get AI-powered insights to our clinicians, so they can provide the best possible care, accelerate time to treatment and improve patient outcomes."
The continuous clinic-to-research feedback loop reduces model adaptation times from years to weeks. Domain shifts in data now take weeks instead of months, and issue detection and repair takes minutes rather than hours. It has also allowed Mass General Brigham to reduce medical-imaging AI application development and maintenance costs.
"Adoption of radiology AI at scale has traditionally been constrained by the complexity of clinical workflows and the lack of standards, applications and deployment platforms," said David Niewolny, Director, Healthcare Business Development, NVIDIA. "This partnership clears those barriers, enabling the extraordinary capabilities of AI to be delivered right at the point of care, faster than ever before."
"The strategic partnership between Nuance and NVIDIA makes the process of deploying trained diagnostic imaging AI models into existing clinical applications at scale simpler for everyone. With this joint effort, we are effectively tackling the problem of how you get medical insights from the 'bench' to the bedside," said Peter Durlach, Executive Vice President and Chief Strategy Officer, Nuance Communications. "Imaging AI developers will now be able to deploy their solutions much faster, helping transform imaging workflows to improve patient outcomes and health system financial performance."
Powered by Microsoft Azure, the Nuance Precision Imaging Network provides access to an entire ecosystem of AI-powered tools and insights within clinical workflows to more than 12,000 healthcare facilities and the
MONAI was built by the medical imaging community to transform research breakthroughs and AI applications into clinical impact. It includes MONAI Deploy, the accelerated processing pipeline that delivers MONAI Application Packages (MAPs), which easily integrate into healthcare systems, using interoperability standards such as DICOM, across data center and cloud environments.
To learn more, read Nuance's whitepaper here.
About NVIDIA
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry. More information at https://nvidianews.nvidia.com/.
About Nuance Communications
Nuance Communications is a technology pioneer with market leadership in conversational AI and ambient intelligence. A full-service partner trusted by 77 percent of U.S. hospitals and more than 75 percent of the Fortune 100 companies worldwide, Nuance creates intuitive solutions that amplify people's ability to help others. Nuance is a Microsoft company.
Media Contacts:
Dayna McCoubrey
Nuance Communications
+1-781-565-4728
dayna.mccoubrey@nuance.com
Janette Ciborowski
NVIDIA Corporation
+1-734-330-8817
jciborowski@nvidia.com
Certain statements in this press release including, but not limited to, statements as to: the partnership between NVIDIA and Nuance and the benefits and impact thereof; and medical centers utilizing the combination of MONAI and technology from Nuance and NVIDIA are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; NVIDIA's reliance on third parties to manufacture, assemble, package and test NVIDIA's products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA's existing products and technologies; market acceptance of NVIDIA's products or NVIDIA's partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA's products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on NVIDIA's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
Trademark reference: Nuance and the Nuance logo are registered trademarks or trademarks of Nuance Communications, Inc. or its affiliates in the United States and/or other countries. NVIDIA and the NVIDIA logo are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. All other trademarks referenced herein are the property of their respective owners.
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SOURCE Nuance Communications, Inc.
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