About Use Cases

ACR^® DSI use cases describe specific clinical scenarios in which an AI application adds value and suggests features to garner trust and endorsement from the community. Use cases define basic requirements to complete certain automation and nest within broader IT environments. In addition to guidance and standards for developers, this list indicates the applications the DSI supports with curated datasets codified according to our use case specifications.

Building wide-scale healthcare AI requires access to robust structured data. The DSI is part of a global initiative to open access to data for AI development and is engaging institutions across the country on data access projects. This project relies on use cases, and each use case describes the conditions that algorithms are expected to reliably execute. Once in the field, the DSI leverages the ACR registry infrastructure connected to facilities across the country to provide analytics on algorithm performance, which can be used as real-world evidence or a basis for updates. All of these initiatives begin with scrupulously describing relevant algorithmic functions and clinical insights which ensure the application is effectively utilized.