The American College of Radiology Data Science Institute (ACR DSI) announced Friday, Oct. 26 the release of a series of standardized artificial intelligence (AI) use cases to advance imaging in AI, according to an ACR release.
“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 Bibb Allen Jr., MD, ACR DSI Chief Medical Officer.
Free, and continually updated, the use cases are part of the ACR-DSI Technology Oriented Use Cases in Health Care-AI Framework. Multispecialty, multi-industry experts will define relevant cases to develop medical imaging, interventional radiology and radiation oncology AI algorithms, according to the release.
Additionally, the framework will provide tools and metrics for creating algorithm training, testing and validation datasets; develop standardized pathways for implementing AI algorithms into practice; and address regulatory, legal and ethical issues surrounding AI and imaging.