Machine Learning Models for Predicting Gynecological Cancers: Advances, Challenges, and Future Directions

Simple Summary This review explores how machine learning, an advanced computer-based method, is changing the way healthcare professionals detect and treat women’s cancers like breast, cervical, and ovarian cancer. These smart tools can study medical images, lab results, and patient history to help perceive cancer early, support outcome forecasting, predict how cancer might grow, and choose the best treatment. This article explains how these systems work, shares real-life examples, and highlights both the benefits and challenges of machine learning. It ends by showing how, with better data and safer systems, machine learning could become a powerful partner in providing faster, more accurate, and personalized cancer care.