AI Automatic Contouring - Clinically Proven to Save Time

Challenge

Radiation Oncology (RO) departments struggle to maintain profit margins due to recent changes in treatment code reimbursement models, budget constraints and staffing shortages. Organ at risk (OAR) contouring is a mandatory and resource intensive task. Inconsistent quality of Atlas-Based Automatic Segmentation (ABAS) solutions have prevented wide-spread adoption and OAR contouring remains a manual task in many clinics.

Solution

Machine Learning (ML)-based Artificial Intelligence (AI) technology is revolutionizing automatic contouring, providing a reliable solution with proven quality. Whereas ABAS relies on the accuracy of a set of tens of reference images in an atlas, AI autocontouring leverages the power of thousands of datasets used for training.