Improving cancer diagnosis and prediction with artificial intelligence
Although artificial intelligence (AI) and machine learning (ML) provide unprecedented opportunities for improved cancer detection, various technical challenges as well as a lack of data availability hamper their utilisation. The EU-funded INCISIVE project aims to develop a toolbox for enhancing the accuracy, specificity and sensitivity of existing cancer imaging methods. The idea is to generate a pan-European repository of medical images that can be used for ML-based training for various types of cancer. The project’s deliverables will assist the accurate prediction of tumour spread, evolution and relapse, in addition to helping stratify patients.
Coordination: Maggioli group
Funding scheme: Horizon 2020, RIA – Research and Innovation action