Frontiers in Oncology
Artificial intelligence in ovarian cancer prevention and control: a brief review of detection, treatment, and equity (2021–2026)
Ovarian cancer (OC) remains a leading cause of gynecologic cancer mortality worldwide because early symptoms are often vague, effective population-level screening strategies are lacking, and outcomes are shaped by biological heterogeneity and unequal access to diagnostic and molecular testing resources. This Mini Review summarizes advances from 2021 to 2026 in artificial intelligence (AI) applications across the OC care continuum, focusing on early detection, treatment decision-making, prognostic assessment, clinic …