Joint Session of the ESR and ESTRO

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

February 26, 14:00 - 15:30 CET

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.

5 min
Chairpersons' introduction
Lucia Manganaro, Rome / Italy
Stine Korreman, Aarhus / Denmark
18 min
Automation in treatment planning: approaching reality?
Stine Korreman, Aarhus / Denmark
18 min
Current status of AI autosegmentation in clinical RT workflows
18 min
AI in gynaecologic cancers: state of the art and future perspectives
Stefania Rizzo, Lugano / Switzerland
18 min
How may AI impact our clinical practice in breast cancer screening?
Isabelle Thomassin-Naggara, Paris / France
13 min
Discussion