Imaging AI in Practice: A Demonstration of Future Workflow Using Integration Standards.

Journal Article (Journal Article)

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.

Full Text

Duke Authors

Cited Authors

  • Wiggins, WF; Magudia, K; Schmidt, TMS; O'Connor, SD; Carr, CD; Kohli, MD; Andriole, KP

Published Date

  • November 2021

Published In

Volume / Issue

  • 3 / 6

Start / End Page

  • e210152 -

PubMed ID

  • 34870224

Pubmed Central ID

  • PMC8637229

Electronic International Standard Serial Number (EISSN)

  • 2638-6100

International Standard Serial Number (ISSN)

  • 2638-6100

Digital Object Identifier (DOI)

  • 10.1148/ryai.2021210152


  • eng