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Development and Prospective Validation of a Pathology-Based Artificial Intelligence Model for Predicting the Time to Castration Resistance of Prostate Cancer
Sponsor: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Summary
The goal of this predictive test is to prospectively test the performance of pre-developed artificial intelligence (AI) predictive model for predicting the time to castration resistance of prostate cancer. Investigators had developed this AI model based on deep learning algorithms in preliminary research, and it performed well in retrospective tests.
Key Details
Gender
MALE
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
150
Start Date
2026-01-01
Completion Date
2028-12-31
Last Updated
2026-01-29
Healthy Volunteers
No
Interventions
Artificial intelligence (AI)-based predictive model (developed)
Collect pathological slides of prostate biopsy of the enrolled patients. Digitise these slides into whole-slide images (WSIs). Analyze the WSIs using the AI model to generate predictive results (within 12 months, between 12 to 24months or over 24 months). No intervention to patients would be performed in this predictive test study.
Locations (1)
Sun Yat-sen Memorial Hospital of Sun Yat-sen University
Guangzhou, Guangdong, China