Imaging AI in Practice: A Demonstration of Future Workflow Using Integration Standards.
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- Record sourced from PubMed, PMID 34870224.
- Also identified by DOI 10.1148/ryai.2021210152 and PMC identifier 8637229.
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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. <b>Keywords:</b> Computer Applications-General (Informatics), Technology Assessment © RSNA, 2021.