New implementation of data standards for AI in oncology: Experience from the EuCanImage project.

ABSTRACT:

Background

An unprecedented amount of personal health data, with the potential to revolutionize precision medicine, is generated at health care institutions worldwide. The exploitation of such data using artificial intelligence (AI) relies on the ability to combine heterogeneous, multicentric, multimodal, and multiparametric data, as well as thoughtful representation of knowledge and data availability. Despite these possibilities, significant methodological challenges and ethicolegal constraints still impede the real-world implementation of data models.

Technical details

The EuCanImage is an international consortium aimed at developing AI algorithms for precision medicine in oncology and enabling secondary use of the data based on necessary ethical approvals. The use of well

SUBMITTER: Garcia-Lezana T 

PROVIDER: S-EPMC12071370 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature