Abstract

Cervical cancer diagnosis has evolved significantly with the integration of advanced imaging techniques and refined colposcopy methods, offering improved accuracy and earlier detection. This article explores current trends in diagnostic technologies, such as digital colposcopy, optical coherence tomography (OCT), and fluorescence imaging, alongside their impact on identifying precancerous and cancerous cervical lesions. By reviewing clinical studies and technological advancements, it assesses how these tools enhance visualization, reduce diagnostic errors, and guide treatment decisions. The article also considers future directions, including artificial intelligence (AI) integration and portable imaging systems, which promise to expand access in low-resource settings. The findings highlight a transformative shift in cervical cancer diagnosis, with potential to lower global mortality through timely and precise intervention.