Description
Artificial Intelligence in Radiotherapy explores how advanced computational methods are transforming radiation oncology across the full clinical workflow. From automated image segmentation and adaptive treatment planning to outcome prediction, response assessment, and biologically informed dose optimization, AI-driven approaches are reshaping how radiotherapy is designed, delivered, and evaluated. This symposium will highlight methodological advances, clinical translation, and emerging challenges in validation, robustness, and implementation. By bringing together expertise spanning medical physics, imaging science, machine learning, and clinical oncology, the session aims to provide a comprehensive perspective on how AI is advancing precision, efficiency, and personalization in radiotherapy.