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.
Patients are diagnosed with intermediate- to high-risk prostate cancer; undergo prostate biopsy
Patients only received endocrine therapy for prostate cancer;
Patients with complete clinical and pathological information.
Patients agree to participate in this diagnostic test.
Patients with other tumors and undergo systemic therapy .
The patient refused to participate in this diagnostic test.