AI in cancer imaging
Integrative AI model building from large-scale imaging and non-imaging data.
Performance metrics/criteria and evaluation procedures
EuCanimage consortium is developing tools, metrics and procedures for assessment of AI cancer-imaging methods in clinical environments. Aspects considered include model accuracy and reproducibility, model bias and uncertainty, as well as clinical effectiveness and usability.