Abstract
AI contouring platforms using deep learning for autosegmention are increasingly prevalent in the clinical environment. While there is an established body of literature regarding the performance of such platforms, there is comparatively little research outlining the implementation and uptake of these applications in a real-world setting. This study outlines our international network’s early experience regarding the implementation, uptake and staff feedback of an AI contouring platform into standard practice.