NVIDIA and American College of Radiology AI-LAB Team to Accelerate Adoption of AI in Diagnostic Radiology

April 8, 2019

BOSTON, April 8, 2019 — NVIDIA and the American College of Radiology today announced a collaboration to enable thousands of radiologists nationwide to create and use AI for diagnostic radiology in their own facilities, using their own data, to meet their own clinical needs.

Following a successful three-month pilot program by both parties, ACR is integrating the NVIDIA Clara AI toolkit into the newly announced ACR Data Science Institute ACR AI-LAB, a free software platform that will be made available to more than 38,000 ACR members and other radiology professionals to build, share, locally adapt and validate AI algorithms, while also ensuring patient data stays protected at the local institution.

The NVIDIA Clara AI toolkit is a key part of the NVIDIA Clara developer platform, which is designed to enable software-defined medical instruments and intelligent workflows. A platform to create data and algorithm pipelines, NVIDIA Clara consists of libraries for data and image processing, AI model processing, and visualization. For AI, the toolkit includes libraries for data annotation, model training, model adaptation, model federation and large-scale deployment.

Making the vision of the ACR AI-LAB a reality requires the collaboration of the entire ecosystem, including industry leaders GE Healthcare, Nuance and NVIDIA, along with a vast network of healthcare startups and leading research institutes. NVIDIA Clara powers GE Healthcare’s Edison AI platform and the Nuance AI Marketplace, both of which are supporting the AI-LAB and are key solutions for the deployment of AI within the radiology workflow.

“This collaboration marks a significant milestone in an extraordinary ACR Data Science Institute project, helping enable the launch of the ACR AI-LAB, giving radiologists in any practice environment an opportunity to become involved in AI development at their own institutions, using their own patient data to meet their own clinical needs,” said Bibb Allen Jr., M.D., FACR and chief medical officer of the Data Science Institute at the American College of Radiology.

“NVIDIA builds platforms that democratize the use of AI and we purpose-built the Clara AI toolkit to give every radiologist the opportunity to develop AI tools that are customized to their patients and their clinical practice,” said Kimberly Powell, vice president of Healthcare at NVIDIA. “Our successful pilot with the ACR is the first of many that will make AI more accessible to the entire field of radiology.”

Successful Pilot Paves Way to Democratized AI for Healthcare

An initial pilot with the Ohio State University (OSU) and the Massachusetts General Hospital and Brigham and Women’s Hospital’s Center for Clinical Data Science (CCDS) helped NVIDIA and ACR define the assets and pathways necessary to enable facilities to work together and with industry to refine AI algorithms without sharing potentially sensitive patient data. Bringing an AI model to the patient data, instead of patient data to the model, can help increase diversity in algorithm training, facilitate validation of the algorithms and enable radiologists to learn the steps needed to adapt algorithms to their institutions’ clinical needs.

Using the NVIDIA Clara AI toolkit, OSU was able to quickly import a pre-trained model developed by CCDS. This model was customized to local variables and successfully labeled OSU data for further testing and improvement of the algorithm, all of which took place behind their own firewall. It resulted in a highly accurate and enhanced cardiac computed tomography angiography model, and the shared approach reduced algorithm training, validation and testing times by days.

“This software will offer radiologists, without computer programming experience, the ability to build and improve AI algorithms without the need to share their data,” said Keith Dreyer, D.O., Ph.D., chief data science officer at Partners Healthcare and associate professor of radiology at Harvard Medical School. “Algorithms typically work best within the sites where they were trained, but those limited training sets are not always representative of the population at large. Training AI models on data from diverse sites helps ensure resiliency while reducing algorithm bias, resulting in improved inference across broader populations.”

“Enabling a network of artificial intelligence between hospitals will create more robust algorithms, greater efficiencies and likely lead to better patient outcomes,” said Dr. Richard White, chair of the department of Radiology and Medical Imaging Informatics at the Ohio State University Wexner Medical Center. “This will give us access to high-quality algorithms that will help us accelerate deep learning and machine learning in healthcare.”

The architecture used in the pilot program, powered by the NVIDIA Clara AI toolkit, enables data aggregation, image annotation, image pre-processing and transformation, algorithm transfer and local computing for algorithm improvement, all of which are necessary to achieve the ultimate goal of the democratization of AI.

Ecosystem Support for ACR AI-LAB and NVIDIA Clara

Strong support for the ACR AI-LAB comes from NVIDIA Clara AI platform users and industry leaders GE Healthcare and Nuance.

“Democratizing AI takes not only state-of-the-art technology, but also close collaboration among industry leaders,” said Keith Bigelow, senior vice president of Edison Portfolio Strategy at GE Healthcare. “By supporting the ACR community’s AI-LAB efforts and harnessing the power of NVIDIA’s Clara AI platform, GE Healthcare can lower costs and improve patient outcomes by accelerating the number of algorithms created and seamlessly deployed to Edison-powered healthcare devices and applications in hospitals nationwide. GE Healthcare looks forward to enabling the fastest path to compliant and productive use of ACR AI-LAB algorithms in our world leading medical devices and workflow applications.”

“Combining the strength of the NVIDIA Clara AI platform with the scale of the Nuance AI Marketplace for Diagnostic Imaging will empower ACR AI-LAB developers to rapidly build and seamlessly deploy AI algorithms into the existing clinical workflows of over 70 percent of all radiologists across more than 5,800 connected healthcare facilities,” said Karen Holzberger, vice president and general manager of Healthcare Diagnostics at Nuance. “Furthermore, the ubiquitous footprint of Nuance PowerScribe radiology reporting and PowerShare image-sharing solutions provides subscribers of our AI Marketplace with immediate access to the largest storefront of imaging AI algorithms that can be automatically integrated into the radiology reporting and interpretation tools they use every day.”

ACR-AI LAB Planned Debut and Availability

The initial version of ACR AI-LAB will be shown at the 2019 ACR Annual Meeting in Washington, from May 18-22. Attendees will be able to explore and experiment with the AI tools necessary to modify and refine AI models.

Soon after, ACR plans to provide online access and sample data from publicly available patient datasets.

The ACR AI-LAB builds upon the ACR TRIAD (Transfer of Images and Data), a platform that already connects thousands of radiology practices for ACR research, accreditation and registry program. Through the ACR AI-LAB, these same radiologists will now be provided with user-friendly computational tools that will help them learn about annotating datasets and training AI models as well as sample the AI tools that can be used to train and modify existing AI algorithms.

About the American College of Radiology

The American College of Radiology (ACR), founded in 1924, is a professional medical society dedicated to serving patients and society by empowering radiology professionals to advance the practice, science, and professions of radiological care.

About NVIDIA

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. More information at http://nvidianews.nvidia.com/.


Source: NVIDIA

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Final Countdown to ISC19: What to See

June 13, 2019

If you're attending the International Supercomputing Conference, taking place in Frankfurt next week (June 16-20), you're either packing, in transit, or are already ensconced at the venue. In any case, you're busy, so he Read more…

By Tiffany Trader

The US Global Weather Forecast System Just Got a Major Upgrade

June 13, 2019

The United States’ Global Forecast System (GFS) has received a major upgrade to its modeling capabilities. The new dynamical core that has been added to the GFS – its first new dynamical core in nearly 40 years – w Read more…

By Oliver Peckham

NCSU Researchers Overcome Key DNA-Based Data Storage Obstacles

June 12, 2019

In the race for increasingly dense data storage solutions, DNA-based storage is surely one of the most curious – and a team of North Carolina State University (NCSU) researchers just brought it two steps closer to bein Read more…

By Oliver Peckham

HPE Extreme Performance Solutions

HPE and Intel® Omni-Path Architecture: How to Power a Cloud

Learn how HPE and Intel® Omni-Path Architecture provide critical infrastructure for leading Nordic HPC provider’s HPCFLOW cloud service.

For decades, HPE has been at the forefront of high-performance computing, and we’ve powered some of the fastest and most robust supercomputers in the world. Read more…

IBM Accelerated Insights

Transforming Dark Data for Insights and Discoveries in Healthcare

Healthcare in the USA produces an enormous amount of patient-related data each year. It is likely that the average person will generate over one million gigabytes of health-related data across his or her lifetime, equivalent to 300 million books. Read more…

TSMC and Samsung Moving to 5nm; Whither Moore’s Law?

June 12, 2019

With reports that Taiwan Semiconductor Manufacturing Co. (TMSC) and Samsung are moving quickly to 5nm manufacturing, it’s a good time to again ponder whither goes the venerable Moore’s law. Shrinking feature size has of course been the primary hallmark of achieving Moore’s law... Read more…

By John Russell

Final Countdown to ISC19: What to See

June 13, 2019

If you're attending the International Supercomputing Conference, taking place in Frankfurt next week (June 16-20), you're either packing, in transit, or are alr Read more…

By Tiffany Trader

The US Global Weather Forecast System Just Got a Major Upgrade

June 13, 2019

The United States’ Global Forecast System (GFS) has received a major upgrade to its modeling capabilities. The new dynamical core that has been added to the G Read more…

By Oliver Peckham

TSMC and Samsung Moving to 5nm; Whither Moore’s Law?

June 12, 2019

With reports that Taiwan Semiconductor Manufacturing Co. (TMSC) and Samsung are moving quickly to 5nm manufacturing, it’s a good time to again ponder whither goes the venerable Moore’s law. Shrinking feature size has of course been the primary hallmark of achieving Moore’s law... Read more…

By John Russell

The Spaceborne Computer Returns to Earth, and HPE Eyes an AI-Protected Spaceborne 2

June 10, 2019

After 615 days on the International Space Station (ISS), HPE’s Spaceborne Computer has returned to Earth. The computer touched down onboard the same SpaceX Dr Read more…

By Oliver Peckham

Building the Team: South African Style

June 9, 2019

We’re only eight days away from the start of the ISC 2019 Student Cluster Competition. Fourteen student teams from eleven countries will travel to Frankfurt, Read more…

By Dan Olds

Scientists Solve Cosmic Mystery Through Black Hole Simulations

June 6, 2019

An international team of researchers has finally solved a long-standing cosmic mystery – and to do it, they needed to produce the most detailed black hole simulation ever created. Read more…

By Oliver Peckham

Quantum Upstart: IonQ Sets Sights on Challenging IBM, Rigetti, Others

June 5, 2019

Until now most of the buzz around quantum computing has been generated by folks already in the computer business – systems makers, chip makers, and big cloud Read more…

By John Russell

AMD Verifies Its Largest 7nm Chip Design in Ten Hours

June 5, 2019

AMD announced last week that its engineers had successfully executed the first physical verification of its largest 7nm chip design – in just ten hours. The AMD Radeon Instinct Vega20 – which boasts 13.2 billion transistors – was tested using a TSMC-certified Calibre nmDRC software platform from Mentor. Read more…

By Oliver Peckham

High Performance (Potato) Chips

May 5, 2006

In this article, we focus on how Procter & Gamble is using high performance computing to create some common, everyday supermarket products. Tom Lange, a 27-year veteran of the company, tells us how P&G models products, processes and production systems for the betterment of consumer package goods. Read more…

By Michael Feldman

Cray, AMD to Extend DOE’s Exascale Frontier

May 7, 2019

Cray and AMD are coming back to Oak Ridge National Laboratory to partner on the world’s largest and most expensive supercomputer. The Department of Energy’s Read more…

By Tiffany Trader

Graphene Surprises Again, This Time for Quantum Computing

May 8, 2019

Graphene is fascinating stuff with promise for use in a seeming endless number of applications. This month researchers from the University of Vienna and Institu Read more…

By John Russell

Why Nvidia Bought Mellanox: ‘Future Datacenters Will Be…Like High Performance Computers’

March 14, 2019

“Future datacenters of all kinds will be built like high performance computers,” said Nvidia CEO Jensen Huang during a phone briefing on Monday after Nvidia revealed scooping up the high performance networking company Mellanox for $6.9 billion. Read more…

By Tiffany Trader

AMD Verifies Its Largest 7nm Chip Design in Ten Hours

June 5, 2019

AMD announced last week that its engineers had successfully executed the first physical verification of its largest 7nm chip design – in just ten hours. The AMD Radeon Instinct Vega20 – which boasts 13.2 billion transistors – was tested using a TSMC-certified Calibre nmDRC software platform from Mentor. Read more…

By Oliver Peckham

It’s Official: Aurora on Track to Be First US Exascale Computer in 2021

March 18, 2019

The U.S. Department of Energy along with Intel and Cray confirmed today that an Intel/Cray supercomputer, "Aurora," capable of sustained performance of one exaf Read more…

By Tiffany Trader

Deep Learning Competitors Stalk Nvidia

May 14, 2019

There is no shortage of processing architectures emerging to accelerate deep learning workloads, with two more options emerging this week to challenge GPU leader Nvidia. First, Intel researchers claimed a new deep learning record for image classification on the ResNet-50 convolutional neural network. Separately, Israeli AI chip startup Hailo.ai... Read more…

By George Leopold

The Case Against ‘The Case Against Quantum Computing’

January 9, 2019

It’s not easy to be a physicist. Richard Feynman (basically the Jimi Hendrix of physicists) once said: “The first principle is that you must not fool yourse Read more…

By Ben Criger

Leading Solution Providers

SC 18 Virtual Booth Video Tour

Advania @ SC18 AMD @ SC18
ASRock Rack @ SC18
DDN Storage @ SC18
HPE @ SC18
IBM @ SC18
Lenovo @ SC18 Mellanox Technologies @ SC18
NVIDIA @ SC18
One Stop Systems @ SC18
Oracle @ SC18 Panasas @ SC18
Supermicro @ SC18 SUSE @ SC18 TYAN @ SC18
Verne Global @ SC18

TSMC and Samsung Moving to 5nm; Whither Moore’s Law?

June 12, 2019

With reports that Taiwan Semiconductor Manufacturing Co. (TMSC) and Samsung are moving quickly to 5nm manufacturing, it’s a good time to again ponder whither goes the venerable Moore’s law. Shrinking feature size has of course been the primary hallmark of achieving Moore’s law... Read more…

By John Russell

Intel Launches Cascade Lake Xeons with Up to 56 Cores

April 2, 2019

At Intel's Data-Centric Innovation Day in San Francisco (April 2), the company unveiled its second-generation Xeon Scalable (Cascade Lake) family and debuted it Read more…

By Tiffany Trader

Cray – and the Cray Brand – to Be Positioned at Tip of HPE’s HPC Spear

May 22, 2019

More so than with most acquisitions of this kind, HPE’s purchase of Cray for $1.3 billion, announced last week, seems to have elements of that overused, often Read more…

By Doug Black and Tiffany Trader

Arm Unveils Neoverse N1 Platform with up to 128-Cores

February 20, 2019

Following on its Neoverse roadmap announcement last October, Arm today revealed its next-gen Neoverse microarchitecture with compute and throughput-optimized si Read more…

By Tiffany Trader

Announcing four new HPC capabilities in Google Cloud Platform

April 15, 2019

When you’re running compute-bound or memory-bound applications for high performance computing or large, data-dependent machine learning training workloads on Read more…

By Wyatt Gorman, HPC Specialist, Google Cloud; Brad Calder, VP of Engineering, Google Cloud; Bart Sano, VP of Platforms, Google Cloud

In Wake of Nvidia-Mellanox: Xilinx to Acquire Solarflare

April 25, 2019

With echoes of Nvidia’s recent acquisition of Mellanox, FPGA maker Xilinx has announced a definitive agreement to acquire Solarflare Communications, provider Read more…

By Doug Black

Nvidia Claims 6000x Speed-Up for Stock Trading Backtest Benchmark

May 13, 2019

A stock trading backtesting algorithm used by hedge funds to simulate trading variants has received a massive, GPU-based performance boost, according to Nvidia, Read more…

By Doug Black

HPE to Acquire Cray for $1.3B

May 17, 2019

Venerable supercomputer pioneer Cray Inc. will be acquired by Hewlett Packard Enterprise for $1.3 billion under a definitive agreement announced this morning. T Read more…

By Doug Black & Tiffany Trader

  • arrow
  • Click Here for More Headlines
  • arrow
Do NOT follow this link or you will be banned from the site!
Share This