ESR/ESTRO - Artificial intelligence (AI) integration for prognostication and treatment planning in cancer

This session will provide an overview of new applications and explore the future of AI in clinical practice from the perspective of both radiation oncologists and radiologists. The introduction of AI is revolutionising radiotherapy workflows by optimising tumour and organ segmentation, saving valuable time for radiation oncologists. In addition, AI has great potential in areas such as quality control, treatment plan verification, optimisation of image-guided radiotherapy and real-time monitoring of moving tumours, such as lung and liver tumours, during treatment. In diagnostic imaging, AI applications are emerging in screening programmes, prognostic assessment and predictive modelling. These areas are becoming more prominent in research, with early impacts already visible in clinical practice. The integration of AI-based models will be a key challenge in the coming years. The presentations will focus on the feasibility, testing and planning of innovative AI solutions in both radiotherapy and diagnostic imaging, emphasising the growing influence of AI on the workflows of oncologists and radiologists.