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

> **NCT07376057** · — · NOT_YET_RECRUITING · sponsor: **Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University** · enrollment: 150 (estimated)

## Conditions studied

- Prostatic Neoplasms, Castration-Resistant

## Interventions

- **OTHER:** Artificial intelligence (AI)-based predictive model (developed)

## Key facts

- **NCT ID:** NCT07376057
- **Lead sponsor:** Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2026-01-01
- **Primary completion:** 2028-12-31
- **Final completion:** 2028-12-31
- **Target enrollment:** 150 (ESTIMATED)
- **Last updated:** 2026-01-29


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07376057

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07376057, "Development and Prospective Validation of a Pathology-Based Artificial Intelligence Model for Predicting the Time to Castration Resistance of Prostate Cancer". Retrieved via AI Analytics 2026-07-02 from https://api.ai-analytics.org/clinical/NCT07376057. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*