New algorithms = radiology revolution

At the annual Radiological Society of North America (RSNA) conference in Chicago this week, we had the honor of unveiling the Nuance AI Marketplace for Diagnostic Imaging, the world’s first open AI marketplace for diagnostic imaging
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Many experts believe radiology is having a moment – that the integration of machine learning technology in radiology is a disruption that could be as profound as the advent of digital imaging.

At the annual Radiological Society of North America (RSNA) conference in Chicago this week, we had the honor of unveiling the Nuance AI Marketplace for Diagnostic Imaging, the world’s first open AI marketplace for diagnostic imaging.

Similar in concept to globally available “app stores” for businesses and the public, the Nuance AI Marketplace empowers radiologists and AI developers to build, test, and share AI algorithms that enable data discovery and analysis, and automatic generation of use case models for improved detection, diagnosis, and treatment.

These new powerful algorithms can quickly select and extract important features from the medical images. For example, an AI algorithm can identify a potential pulmonary embolism on a CT angiogram —a critical finding—and prioritize this study on the radiologist’s worklist ahead of other non-urgent exams.

Amplifying physician intelligence is revolutionary. Many radiologists use their well-honed instincts to help manage workflow. (Remember Cpl. Walter “Radar” O’Reilly from the old TV show M*A*S*H, who would announce “We got choppers!” some 45 seconds before anyone else could hear them coming?)

But what if the radiologist had AI-powered assistance to know exactly what was going on and what was coming up? Instead of starting with an empty report or a blank template, the AI algorithms have prebuilt her reports with findings, measurements, and evidence-based recommendations. She can focus her expertise on reviewing the findings and making her recommendations.

These AI applications also can identify, classify, and quantify disease patterns – instantly elevating the most critical and urgent findings. This technology will save vital diagnostic minutes for critically injured patients, and better leverage radiologist time for all patients.

But technology is only useful if people can access it easily.

That is why the goal of our AI Marketplace is to democratize and unlock the power of AI for the nation’s radiologists, 70 percent of whom already use Nuance’s PowerScribe radiology reporting and PowerShare image exchange network.

One of our partners in the AI Marketplace is NVIDIA who has a deep learning platform that will power the training and publishing of applications to the Nuance AI Marketplace.

Using the marketplace, radiologists in the near future will be able to access a wide array of algorithms and integrate them into their day-to-day workflow. They also can build and publish imaging algorithms, as well as improve those they use most often.

Please take a moment to watch a video demonstration of how the Nuance AI Marketplace will work, as we discuss the platform with Abdul Hamid Halabi, Global Business Development Lead, Healthcare & Life Sciences at NVIDIA.

Our goal is to create tools that bolster productivity and efficiency, so radiologists can focus their skill and expertise where it will have the greatest impact – on improving patient care.

Learn more by connecting with us this week at #RSNA17 and follow us on LinkedIn and Twitter

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Karen Holzberger

About Karen Holzberger

Karen Holzberger is the vice president and general manager of Nuance’s Healthcare’s diagnostic solutions business. Karen joined Nuance in 2014 with more than 15 years of experience in the Healthcare industry. Prior to Nuance, she was the vice president and general manager of Global Radiology Workflow at GE Healthcare where she managed service, implementation, product management and development for mission critical healthcare IT software. Karen attended Stevens Institute of Technology where she earned a B.S in Mechanical Engineering.