Development and Prospective Validation of a Pathology-Based Artificial Intelligence Model for Predicting the Time to Castration Resistance of Prostate Cancer

Starting soon

Conditions studied: Prostatic Neoplasms, Castration-Resistant

In brief

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 facts

Study ID

NCT07376057

Run by

Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

People needed

150

Starts

2026-01-01

Expected to finish

2028-12-31

Last updated by the study team

2026-01-29

Who can join

Age: 18 and older. Sex: male. Healthy volunteers: not accepted.

You may qualify if…

• 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.

You may not qualify if…

• Patients with other tumors and undergo systemic therapy .
• The patient refused to participate in this diagnostic test.

Where it is running

• Sun Yat-sen Memorial Hospital of Sun Yat-sen University — Guangzhou, Guangdong, China

Full record on ClinicalTrials.gov

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