#2 A Federated Registration System for Artificial Intelligence in Health

Music City Center 

As artificial intelligence (AI) becomes increasingly integrated into healthcare, the need for robust registries and assurance laboratories is critical to ensure transparency, reliability, and continuous monitoring of model performance. This session will explore the ongoing lifecycle of AI validation and adaptation, emphasizing the role of standardized performance metrics such as AUC and c-index in assessing and maintaining model efficacy. We will discuss how structured frameworks for model monitoring can enhance clinical trust, support regulatory compliance, and drive iterative improvements in AI-driven healthcare solutions.