American College of Radiology Approves First Ever Practice Parameter for Imaging Artificial Intelligence
Publish Date: 2026-05-05 16:10:00
Source Domain: www.newswise.com
- The American College of Radiology (ACR) Council has approved a groundbreaking ACR-SIIM Practice Parameter for Imaging Artificial Intelligence (AI) at the ACR 2026 annual meeting.
- The ACR Data Science Institute (DSI) published an article in the Journal of the American College of Radiology detailing the technical framework for Assess-AI, the world’s first AI quality registry and data service.
- The ACR-SIIM Practice Parameter guides medical imaging facilities in adopting AI technologies, including steps for selection, monitoring, and continuous quality improvement.
- The practice parameter covers key areas such as forming an AI governance group, maintaining an inventory of AI tools, performing local acceptance testing, and following HIPAA privacy requirements.
- The Assess-AI service enables imaging facilities to measure AI tool performance, compare their results against national benchmarks, and implement a closed-loop quality improvement workflow.
- Assess-AI offers analytical support for multiple imaging AI use cases and collects contextual data, helping ensure AI tools perform as expected.
- ACR and SIIM’s collaborative efforts aim to provide practical guidance for the safe, effective, and transparent use of AI in clinical radiology care, with the ultimate goal of improving patient outcomes.
