The American College of Radiology Council has approved a new practice parameter to guide the assessment and deployment of AI in imaging.
Key Details
- 1ACR Council approved the Practice Parameter for Imaging Artificial Intelligence during its annual meeting in May 2024.
- 2Developed alongside the Society for Imaging Informatics in Medicine (SIIM), the framework guides AI implementation, monitoring, and governance.
- 3Applies to radiologists, techs, physicists, informaticists, and administrators handling AI tools.
- 4The parameters provide practical steps for choosing, evaluating, and ensuring privacy and ongoing performance of AI solutions.
- 5A related article in JACR details the technical framework for Assess-AI, described as the world’s first AI quality registry for imaging.
- 6ACR and SIIM plan continued engagement with FDA and Congress regarding radiology AI oversight.
Why It Matters
This practice parameter offers actionable, standardized guidance for safe and effective imaging AI deployment, supporting continuous quality and safety improvement. Recognized leadership from ACR and SIIM also signals growing integration between regulatory, academic, and clinical imaging AI communities.
Source
Radiology Business
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