WASHINGTON, Oct. 26, 2018 /PRNewswire/ -- A first-of-its-kind series of standardized artificial intelligence (AI) usecases from the American College of Radiology Data Science Institute™ (ACR DSI) will accelerate medical imaging AI adoption by ensuring that algorithms:
"The ACR DSI use cases present a pathway to help AI developers solve health care problems in a comprehensive way that turns concepts for AI solutions into safe and effective tools to help radiologists provide better care for our patients," said Bibb Allen Jr., MD, FACR, ACR DSI Chief Medical Officer.
"The ACR DSI use cases provide a previously missing understanding with end users on what an AI solution is to deliver by providing functional requirements, and enabling better analysis and test models. This makes it easier for developers to develop algorithms that provide specific information medical professionals need and can be efficiently implemented into clinical practice," said Rik Primo, Manager of Imaging Informatics Strategic Relationships, Siemens Medical Solutions USA, Inc.
"Clinical insight from the ACR Data Science Institute validates the impact artificial intelligence can have on radiology. The use cases highlight a number of specific opportunities that are supported by value proposition, workflow and dataset details," said John Axerio-Cilies, chief technology officer at Arterys.
This continually updated, freely available use case series is the product of a previously missing and collaborative framework that enables efficient creation, implementation and ongoing improvement of radiological AI tools.
Specifically – the ACR-DSI Technology Oriented Use Cases in Health Care-AI (TOUCH-AI) Framework:
"The ACR DSI framework promotes standardization, interoperability, reportability and patient safety in radiological artificial intelligence development that can help usher in a new era of advanced medicine," said Keith J. Dreyer, DO, PhD, FACR, ACR DSI Chief Science Officer.
"For AI to deliver on its promise to advance medical imaging, a sustained collaborative effort is required between patients, providers, professional associations, regulators, developers and industry. Working closely with an organization like the ACR Data Science Institute helps us to identify and prioritize the right conditions for use cases most valuable to patient care and greatly amplifies the voice of the customer," said Thierry Verstraete, Global Product Manager for Analytics & AI, Carestream.
For more information, visit the ACR Data Science Institute website (www.acrdsi.org).
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SOURCE American College of Radiology Data Science Institute
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