ESR/ESOR AI - 2 - Tools for cancer assessment: from radiomics to AI

Learning Objectives
1. to become familiar with the history of radiomics in imaging publications
2. to understand the radiomics process
3. to learn what biological information can be assessed using radiomics, including radiogenomics

Learning Objectives
1. to understand the rationale for evaluating tumour heterogeneity
2. to learn about the role of AI tools in quantifying intra-tumour heterogeneity
3. to appreciate AI methods that can facilitate data integration and outcome prediction

Learning Objectives
1. to understand the key success factors for successful implementation of AI-based segmentation algorithms
2. to know the level of validation of tools on AI assessment of response to treatment in oncology
3. to discuss how to implement AI in radiological teams in the hospital