Clinical Research Directory

AI Multimodal Model for Predicting CRPC Progression Risk

Sponsor: Guangxi Medical University

Summary

This study aims to develop an artificial intelligence model to predict which patients with advanced prostate cancer are at higher risk of developing castration-resistant prostate cancer (CRPC), a more severe form of the disease. The study will use pre-treatment MRI images, biopsy pathology slides, and clinical data collected from patients who received either hormone therapy (ADT) or radical prostatectomy surgery. By integrating these different types of data, the AI model is designed to help doctors identify high-risk patients earlier, personalize treatment plans, and ultimately improve patient outcomes. This is a multicenter, retrospective study that will analyze data from over 500 patients with at least 24 months of follow-up. The performance of the model will be evaluated using standard accuracy metrics.

Official title: Artificial Intelligence for Predicting Progression Risk of Castration-Resistant Prostate Cancer by Integrating Multimodal Data: A Multicenter, Retrospective Study

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