A Preliminary View on Using AI and Computational Science for Observing Predictive Factors in Conservative Treatment of Cervical Intraepithelial Neoplasia

Abstract

Cervical intraepithelial neoplasia (CIN) represents a range of precancerous lesions, with abnormal cell growth on the epithelium of the cervix, the lower part of the uterus that connects to the vagina caused almost entirely by human papillomavirus (HPV). Detection and diagnosis of cervical cancer, currently based on colposcopy-guided biopsy involving clinical examination and imaging procedures, will most certainly benefit from the application of AI-assisted technology and AI algorithms in the image analysis, for automated cervical cytology, colposcopy examinations, predicting the cervical cancer, and the  progression of risk calculation.