This session aims to provide a state-of-the-art overview of the current status of implementing AI solutions for diagnostic and therapeutic radiology applications. This overview will cover a wide range of AI solutions throughout the entire radiology framework, from the physics of image formation to the usage of image-derived biomarkers and their exploitation in clinical practice. The session will conclude with a panel discussion on the next objective of AI implementations in radiology and the associated challenges.
Chairperson's introduction
AI in CT image acquisition and reconstruction: maximising benefits, minimising pitfalls
Leveraging AI to enhance oncological patient pathways: innovations in radiomics and radiotherapy planning
From innovation to implementation: challenges and enablers for AI in clinical radiology
Panel discussion: AI along the entire patient journey: what the future may hold, ensuring meaningful impact while tackling key challenges