Advancements and challenges of artificial intelligence in cervical cancer diagnostics: A comprehensive review

Cervical cancer remains a significant global health concern, ranking as the fourth most common cancer among women and leading to substantial mortality, particularly in low-and middle-income countries (LMICs).The use of artificial intelligence (AI) in cervical cancer di-agnostics has gained attention for its potential to improve the ACC, efficiency, and accessibility of screening methods, including cytology and colposcopy.This paper provides a comprehensive review of AI-based diagnostic systems, analyzing their performance across various datasets and highlighting the advancements in deep learning models for detecting precancerous lesions.The discussion addresses the challenges associated with AI implementation, such as data availability, model generalization, cost, and ethical considerations.Despite these obstacles, AI shows great promise in revolutionizing cervical cancer screening, particularly in resource-limited set-tings, by reducing diagnostic errors and enhancing early detection.Continued research and innovation are needed to overcome existing barriers and ensure that AI can be effectively in-targeted into global healthcare systems.