Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare.

ABSTRACT: Precision Medicine implies a deep understanding of inter-individual differences in health and disease that are due to genetic and environmental factors. To acquire such understanding there is a need for the implementation of different types of technologies based on artificial intelligence (AI) that enable the identification of biomedically relevant patterns, facilitating progress towards individually tailored preventative and therapeutic interventions. Despite the significant scientific advances achieved so far, most of the currently used biomedical AI technologies do not account for bias detection. Furthermore, the design of the majority of algorithms ignore the sex and gender dimension and its contribution to health and disease differences among individuals. Failure in accounting for the

SUBMITTER: Cirillo D 

PROVIDER: S-EPMC7264169 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature