Culturally and linguistically diverse populations are often left out of public health research, leading to biased results and limited understanding of their health needs.
Modern machine translation tools could help bridge language gaps in public health outreach materials, making information more accessible.
A review of existing studies found limited use of machine translation in public health, mainly focusing on one-way communication, with little to no research on its role in recruiting diverse participants for studies.