Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects.

ABSTRACT: Artificial intelligence (AI) is transforming the field of medical imaging and has the potential to bring medicine from the era of 'sick-care' to the era of healthcare and prevention. The development of AI requires access to large, complete, and harmonized real-world datasets, representative of the population, and disease diversity. However, to date, efforts are fragmented, based on single-institution, size-limited, and annotation-limited datasets. Available public datasets (e.g., The Cancer Imaging Archive, TCIA, USA) are limited in scope, making model generalizability really difficult. In this direction, five European Union projects are currently working on the development of big data infrastructures that will enable European, ethically and General Data Protection Regulation-compliant, qu

SUBMITTER: Kondylakis H 

PROVIDER: S-EPMC10164664 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature