1. Imaging AI in Practice: A Demonstration of Future Workflow Using Integration Standards.
- Author
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Wiggins, Walter F, Magudia, Kirti, Schmidt, Teri M Sippel, O'Connor, Stacy D, Carr, Christopher D, Kohli, Marc D, and Andriole, Katherine P
- Subjects
Information and Computing Sciences ,Biomedical and Clinical Sciences ,Clinical Sciences ,Networking and Information Technology R&D (NITRD) ,Biomedical Imaging ,4.2 Evaluation of markers and technologies ,Detection ,screening and diagnosis ,Computer Applications-General ,Technology Assessment - Abstract
Artificial intelligence (AI) tools are rapidly being developed for radiology and other clinical areas. These tools have the potential to dramatically change clinical practice; however, for these tools to be usable and function as intended, they must be integrated into existing radiology systems. In a collaborative effort between the Radiological Society of North America, radiologists, and imaging-focused vendors, the Imaging AI in Practice (IAIP) demonstrations were developed to show how AI tools can generate, consume, and present results throughout the radiology workflow in a simulated clinical environment. The IAIP demonstrations highlight the critical importance of semantic and interoperability standards, as well as orchestration profiles for successful clinical integration of radiology AI tools. Keywords: Computer Applications-General (Informatics), Technology Assessment © RSNA, 2021.
- Published
- 2021