# AI in Predicting Polyp Pathology and Endoscopic Classification

> **NCT06773832** · — · RECRUITING · sponsor: **Peking Union Medical College Hospital** · enrollment: 400 (estimated)

## Conditions studied

- Colorectal Polyps

## Interventions

- **DIAGNOSTIC_TEST:** Real-time Artificial Intelligence Model for Diagnosing Colorectal Polyp Pathology and Endoscopic Classification

## Key facts

- **NCT ID:** NCT06773832
- **Lead sponsor:** Peking Union Medical College Hospital
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** RECRUITING
- **Start date:** 2025-01
- **Primary completion:** 2026-12
- **Final completion:** 2026-12
- **Target enrollment:** 400 (ESTIMATED)
- **Last updated:** 2025-01-14


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06773832

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06773832, "AI in Predicting Polyp Pathology and Endoscopic Classification". Retrieved via AI Analytics 2026-06-25 from https://api.ai-analytics.org/clinical/NCT06773832. Licensed CC0.

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