AI and molecular diagnostics: A revolution for cervical cancer equity

Smarter Diagnostics, Wider Access: Bringing Cervical Cancer Prevention Within Reach

Most cervical cancer deaths occur in low- and middle-income countries, where specialist capacity and follow-up services can be limited. HPV self-sampling allows collection outside traditional clinics, while molecular testing and extended genotyping can identify high-risk infections and support risk-based triage. Artificial intelligence-assisted visual assessment offers another emerging approach to evaluating cervical images. These innovations could broaden access, but detection is only one step: trustworthy results, clinical validation, referral, treatment and monitoring are necessary if improved screening is to reduce preventable deaths.