AI Revolutionizes Prostate Cancer Prediction with Multi-Section Analysis

This research introduces a groundbreaking AI framework for predicting biochemical recurrence in prostate cancer. The model analyzes multi-section pathology slides, providing a comprehensive view of the tumor landscape and achieving superior performance compared to traditional methods. Furthermore, the efficiency of the AI model is enhanced by implementing sub-sampling strategies, paving the way for scalable and impactful clinical applications.