The ACR is offering new tools to help radiology practices evaluate and monitor imaging AI algorithms.
Key Details
- 1The American College of Radiology is expanding its suite of resources for radiology practices evaluating imaging AI.
- 2A repository now compiles all FDA-cleared, pixel-based AI algorithms for member review.
- 3Over 1,400 clinical algorithms have FDA clearance, with 80% targeting medical imaging.
- 4Hundreds of vendors offer both FDA-cleared and non-regulated imaging AI products.
- 5ACR aims to help radiologists make informed purchasing and adoption decisions given the complexity of the AI landscape.
Why It Matters
As the AI market for medical imaging becomes increasingly crowded, these centralized resources are critical to help radiology practices select safe, effective tools and keep up with rapid advancements. Such efforts by the ACR can drive informed, evidence-based adoption of AI in clinical practice.
Source
Radiology Business
Related News
•Radiology Business
ACR Approves New Framework for Assessing Imaging AI in Practice
The American College of Radiology Council has approved a new practice parameter to guide the assessment and deployment of AI in imaging.
•AuntMinnie
AI in Radiology: Augmentation, Not Replacement – Risks and Realities Reviewed
AI is reshaping radiology workflows but is not ready to replace radiologists, as judgment, accountability, and clinical complexity remain unmet by current technology.
•Radiology Business
NCCN Endorses AI Risk Tools for Breast Cancer Screening
NCCN's 2026 guidelines recommend routine integration of AI-based 5-year breast cancer risk prediction from mammograms.