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American College of Radiology Releases Initial Use Cases in AI Library

By Medimaging International staff writers
Posted on 03 Sep 2018
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Image: The American College of Radiology Data Science Institute has started releasing its first AI use cases in the ACR DSI TOUCH-AI library for generating feedback (Photo courtesy of the ACR).
Image: The American College of Radiology Data Science Institute has started releasing its first AI use cases in the ACR DSI TOUCH-AI library for generating feedback (Photo courtesy of the ACR).
The American College of Radiology Data Science Institute {(ACR DSI) Reston, VA, USA} has started releasing its first artificial intelligence (AI) use cases in the ACR DSI TOUCH-AI library for generating feedback ahead of the projected release of all of the use cases in the fall.

The ACR DSI had launched medical imaging AI use case development in May 2017 to develop and use AI to assist radiologists in improving medical imaging care. According to ACR DSI, individual entities developing AI can find it difficult to solve healthcare problems in a comprehensive way that provides value to the clinical setting. After its release, the freely available use cases in the ACR DSI TOUCH-AI library will make the areas in which AI can improve patient care quite clear for vendors, clinicians and patients.

Apart from medical specialty societies and standards organizations, the ACR DSI has asked for feedback on the use cases from various AI, analytics, reporting systems, EMRs, and PACS organizations. It is also open to all organizations that are currently developing or supporting AI applications in radiology.

“As we are working to obtain and incorporate feedback into our preliminary use cases, we are seeing a groundswell of support for the information we are providing,” said Laura Coombs, ACR senior director of informatics. “This is an exciting stage of use case development because every bit of feedback, no matter how small, has the potential to profoundly affect both the industry and clinicians’ ability to create and deploy AI technology.”

Related Links:
American College of Radiology Data Science Institute


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