# Real-Time Artificial Intelligence Assissted Colonoscopy to Identify and Classify Polyps

> **NCT05718193** · NA · COMPLETED · sponsor: **Xiangya Hospital of Central South University** · enrollment: 2868 (actual)

## Conditions studied

- Artificial Intelligence
- Colonoscopy
- Quality Control

## Interventions

- **DIAGNOSTIC_TEST:** DeFrame
- **DIAGNOSTIC_TEST:** Classified DeFrame
- **DIAGNOSTIC_TEST:** conventional colonoscopy

## Key facts

- **NCT ID:** NCT05718193
- **Lead sponsor:** Xiangya Hospital of Central South University
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** COMPLETED
- **Start date:** 2022-06-01
- **Primary completion:** 2023-02-28
- **Final completion:** 2023-03-15
- **Target enrollment:** 2868 (ACTUAL)
- **Last updated:** 2023-04-11

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05718193

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05718193, "Real-Time Artificial Intelligence Assissted Colonoscopy to Identify and Classify Polyps". Retrieved via AI Analytics 2026-06-16 from https://api.ai-analytics.org/clinical/NCT05718193. Licensed CC0.

---

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