This study explores how artificial intelligence (AI) and computational science can enhance the detection, monitoring, and prediction of outcomes in the conservative treatment of Cervical Intraepithelial Neoplasia (CIN) — a range of precancerous lesions almost entirely caused by HPV infection.
Maria Diana Focșa – Leonardo da Vinci University (CH)
Radu Lefter – Romanian Academy (RO)
Mihaela Tomaziu-Todosia – Grigore T. Popa University of Medicine and Pharmacy, Iași (RO)
Bogdan Novac – Grigore T. Popa University of Medicine and Pharmacy, Iași (RO)
Otilia Novac – Grigore T. Popa University of Medicine and Pharmacy, Iași (RO)
Ecaterina Tomaziu-Todosia Anton – Grigore T. Popa University of Medicine and Pharmacy, Iași (RO)
By integrating AI-assisted image analysis, mathematical modeling, and predictive algorithms, this research aims to support clinicians in automated cervical cytology, colposcopy examinations, and risk progression forecasting — offering new pathways toward precision medicine in gynecologic oncology.
AI #MedicalResearch #ComputationalScience #CervicalCancer #HPV #PredictiveModeling #HealthcareInnovation #MachineLearning #WomenInScience
