Ontology highlight
ABSTRACT:
SUBMITTER: Restrepo D
PROVIDER: S-EPMC10599518 | biostudies-literature | 2023 Oct
REPOSITORIES: biostudies-literature

Restrepo David D Quion Justin J Vásquez-Venegas Constanza C Villanueva Cleva C Anthony Celi Leo L Nakayama Luis Filipe LF
PLOS digital health 20231025 10
Artificial intelligence (AI) algorithms have the potential to revolutionize healthcare, but their successful translation into clinical practice has been limited. One crucial factor is the data used to train these algorithms, which must be representative of the population. However, most healthcare databases are derived from high-income countries, leading to non-representative models and potentially exacerbating health inequities. This review focuses on the landscape of health-related open dataset ...[more]