The American College of Radiology (ACR) Council has approved a joint ACR-SIIM (Society for Imaging Informatics in Medicine) Practice Parameter for Imaging Artificial Intelligence (AI).
The practice parameter, developed with SIIM, applies to physicians, technologists, medical physicists, informatics and IT teams, data scientists, and administrators who deploy or use AI in imaging workflows. It covers AI tool selection, predeployment evaluation, ongoing performance monitoring, and patient privacy protection. Facilities that implement AI in accordance with the parameter can earn the ACR Recognized Center for Healthcare-AI (ARCH-AI) designation, the ACR said.
The ACR Data Science Institute (DSI) meanwhile has published details of Assess-AI, described as the world's first AI quality registry for medical imaging, in the Journal of the American College of Radiology.
Assess-AI, the newest ACR National Radiology Data Registry, supports post-deployment AI governance by measuring concordance between clinical AI outputs and radiology report-derived data. The service integrates deidentified data via ACR Connect with centralized analytics and national benchmarking, allowing facilities to compare their AI tool performance against aggregated results from other sites using AI for identical use cases, the ACR said.
Assess-AI currently supports multiple imaging AI use cases including intracranial hemorrhage, pulmonary embolism, pneumothorax, large vessel occlusion, bone age, breast density, and pleural effusion, among others.
