Abstract
This scoping review examines the use of artificial intelligence (AI) in sexual and reproductive health (SRH) to guide future research and policymaking. We conducted searches across four electronic databases in October 2023. We included primary research studies applying AI on any SRH topic, regardless of language and timeframe. Our search retrieved 12,823 articles, of which abstracts and full texts were independently screened by two reviewers, yielding 2666 studies for final analysis. The predominant health topics were maternal health (44.9%; n = 1198); reproductive cancers (29.2%; n = 779), mainly cervical cancer; and infertility and fertility care (12.6%; n = 337). AI tools were primarily used to facilitate screening and diagnosis (74.2%, n = 1980), support treatment and care management (8.7%, n = 233), and understand health trends (8.6%, n = 230). While substantial progress has been made in certain domains, significant gaps remain in geographic representation, methodological rigor, and deployment studies with external validity.