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Stuart Korompelis
Cervical cancer remains a significant global health concern, contributing to a considerable burden of morbidity and mortality. Early detection and accurate diagnosis are pivotal in improving patient outcomes and reducing the impact of this disease. Over the years, substantial progress has been made in the field of cervical cancer diagnosis, driven by advancements in medical imaging, molecular biology, and artificial intelligence (AI) technologies. This abstract highlights key approaches and innovations in the diagnosis of cervical cancer.