ACR releases use cases to advance the development of AI adoption

The American College of Radiology (ACR) Data Science Institute (DSI) announced the release of its first series of freely available standardized artificial intelligence (AI) use cases to increase the utilization of AI adoption in medical imaging. At present, the ACR DSI has use cases for breast imaging, cardiology, musculoskeletal, neurology, oncology, pediatrics and thoracic.

The use cases are designed to guarantee that algorithms are applied to address clinical questions, used across several different electronic workflow systems and allow for quality assessment measures and comply with legal, regulatory and ethical measures. 

“The ACR DSI use cases present a pathway to help AI developers solve health care problems in a comprehensive way that turns concepts for AI solutions into safe and effective tools to help radiologists provide better care for our patients,” said ACR DSI Chief Medical Officer Bibb Allen Jr., MD, in a prepared statement.

Multispecialty, multi-industry expert panels determined which use cases would be utilized for the project. These cases give clinicians and researchers the tools to create and test the AI algorithms while monitoring their efficacy.

“The ACR DSI framework promotes standardization, interoperability, reportability and patient safety in radiological artificial intelligence development that can help usher in a new era of advanced medicine,” ACR DSI Chief Science Officer Keith J. Dreyer, DO, PhD, said in the same statement.