Assess-AI provides monitoring of algorithm performance in clinical practice by capturing real-world data during clinical use in a clinical data registry. By providing developers with longitudinal algorithm performance data, we provide a pathway for meeting any FDA post-market surveillance requirements and specific information developers can use for algorithm improvement.
Verifying that an algorithm works well in a clinical setting presents special challenges for developers. The Assess-AI algorithm monitoring service combines real-world data collection of radiologists’ assessments and examination metadata through existing ACR tools (such as TRIAD and DART) and input into proven clinical data registries to provide developers and clinical sites with regular reports of real-world data on an algorithm’s performance across multiple sites