Clinical Validation and Continuous Monitoring of Artificial Intelligence in Medical Imaging: Lessons from Platform-Based Deployment
Abstract The deployment of artificial intelligence (AI) in clinical radiology has expanded rapidly worldwide, yet a persistent “ deployment gap ” remains between research performance and real-world clinical utility. The deployment gap refers to the erosion of AI performance when a model trained and validated in control...