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
Radiology Partners Urges FDA for Clarity on Imaging AI Regulations
Radiology Partners and Mosaic Clinical Technologies petition the FDA for clearer regulatory guidelines on imaging AI vision-language models.
•AuntMinnie
Vast Majority of FDA-Cleared Radiology AI Devices Lack Outcome Trials
Only 0.3% of FDA-cleared radiology AI devices have registered trials on patient outcomes, raising concerns about evidence standards.
•Radiology Business
FDA Solicits Public Input on Regulating Generative AI in Medical Devices
The FDA is seeking public feedback on how to regulate generative AI in medical devices, recognizing both its promise and risks.