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The AI Marketplace brings AI into the radiology workflow by connecting developers directly with radiology subscribers. It offers AI developers a single API to connect their AI solutions to radiologists across the 7,500+ healthcare facilities that use the Nuance PowerShare Network. It gives radiology subscribers a one-stop shop to review, try, validate, and buy AI models, bridging the technology divide to make AI useful, usable, and used.
Karen Holzberger, Senior Vice President and General Manager of Healthcare Diagnostics at Nuance Communications, describes how AI-driven technology from Nuance, including easy-to-use analytics tools for model validation, helps radiologists get started with AI, and integrate it directly into their everyday workflow.
Transform radiology with AI and cloud‑based solutions that demonstrate value and provide better patient care.
See howWith our deep understanding of radiologists’ needs and workflow, we are uniquely positioned to help them transform healthcare by harnessing AI. Now, with the ability to easily purchase, validate, and use AI models within solutions they use every day, radiologists can work smarter and more efficiently. They can focus their time and expertise on the right case at the right time, alleviate many repetitive, mundane tasks, ultimately improve patient care—and save more lives.
Prioritize patient care, optimize productivity, and improve report quality with dynamic, seamless, and standards-based workflow integration—directly into the applications you use every day.
Explore, deploy, access, evaluate, and use multiple AI models across vendors and use cases. Try before you buy. Simplify deployment with a single integration point.
Test and implement your purchased and in-house developed AI models on the Nuance platform, and provide real value by inserting the results directly into your workflow.
Support ongoing AI model improvement by automatically collecting real-world AI performance data within your normal workflow.
Improve speed and reduce cost to bring AI models to market. A single, convenient storefront presence simplifies deployment and eliminates costly go-to-market overhead.
Gain immediate visibility and access to radiologists across 7,500+ connected healthcare facilities that trust Nuance as a valued partner to deliver quality solutions.
Receive feedback on algorithm performance based on the radiologist’s final report, across the industry’s broadest user base.
Leverage standards-based connectivity to Nuance radiology solutions, including PowerScribe One, PowerScribe 360, and PowerScribe Workflow Orchestration. Avoid multiple integrations to varied PACS/viewer vendors.
Interested in joining the AI Marketplace as a developer?
Learn first-hand from radiologists and thought leaders how their institutions have successfully implemented AI solutions within their clinical practice settings.
As you explore the potential of AI models within your own radiology practices, learn how mPower Clinical Analytics can help inform and guide your processes before, during and after AI adoption.
Comprehensive model for AI development, validation, and adoption that delivers the full benefit of AI to a wide range of stakeholders.
The AI Marketplace combines the power of Nuance's powerful cloud hosting infrastructure with its PowerScribe radiology reporting, workflow, and analytics solutions, along with its PowerShare image exchange network technology. This combination creates a unique end-to-end methodology that enables widespread development and rapid deployment of imaging AI models into the AI Marketplace, which is then integrated into the downstream workflow of thousands of radiologists, helping them quickly detect key clinical findings and improve patient care. Nuance is working with standards bodies such as the American College of Radiology (ACR) to establish and apply API connectivity standards for the consumption of AI within radiology workflow, as well as EHRs, PACS systems, and registries.
The AI Marketplace integration brings AI models directly to radiology workflows multiple ways. These are defined by the nature of the AI model and the types of AI results being delivered to the end user—either your PowerScribe Workflow Orchestration or your PowerScribe 360/PowerScribe One reporting platform.
Based on AI results, a color-coded badge can be displayed on the worklist; study priority can be updated, and study can be moved to another worklist.
An alert is presented in PowerScribe to notify the user that AI findings are present.
AI results (data) are displayed in context with AI-annotated images for review. Findings and Impression text can be auto-generated, supported by Clinical Guidelines where applicable. Radiologist can quickly accept, edit, or reject AI results.
Data generated by the AI application is inserted into a custom field for result review and edit.
Our expanding community of AI Marketplace developers, researchers, and technology leaders is committed to the widespread adoption of AI algorithms in radiology, including:
Read the Nuance Intelligence at Work vendor spotlight blogs to learn more about how these innovative developers are working with Nuance to bring AI into the radiology workflow
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In their own words: what people are saying about the AI Marketplace
“The American College of Radiology, through the ACR Data Science Institute™ leads the AI framework for radiology by setting the standard for use cases, certifying algorithms, assessing performance, and reporting through registries. Nuance’s innovative AI Marketplace supports the standards and processes that the ACR DSI promotes. We applaud Nuance for their early and ongoing adoption of the ACR DSI standards, and for their dedication to building AI-powered solutions, such as the AI Marketplace, that measurably improve radiologists’ day-to-day workflow and outcomes.”
Mike Tilkin
Executive Vice President and Chief Information Office
American College of Radiology
"Imaging AI cannot be deployed in a silo – integrating the outputs of AI into the radiologist’s clinical workflow enables it to effectively augment the capabilities of the radiologist while preserving as well as enhancing efficiency and quality. AI in radiology is rapidly evolving; the challenge is to make it usable and useful.”
Warren B. Gefter, MD
Professor of Radiology
Hospital of the University of Pennsylvania
“The [VIDA] application worked well, importing the information into fields in the report exactly as we prescribed it to work. From an operational and technical perspective, it was very easy to implement, and I think that from the day we turned it on, it pretty much worked. We are looking forward to implementing other applications through the AI Marketplace in the coming months, and also consolidating the five other algorithms already in production.”
Terence Matalon, MD, FSIR, FACR
Chariman, Radiology
Einstein Healthcare Network
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