# Diagnostic Performance of a Convolutional Neural Network for Diminutive Colorectal Polyp Recognition

> **NCT03822390** · — · COMPLETED · sponsor: **Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)** · enrollment: 292 (actual)

## Conditions studied

- Artificial Intelligence
- Colorectal Polyp

## Interventions

- **DEVICE:** CAD-CNN system

## Key facts

- **NCT ID:** NCT03822390
- **Lead sponsor:** Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2018-10-16
- **Primary completion:** 2021-10-16
- **Final completion:** 2021-10-16
- **Target enrollment:** 292 (ACTUAL)
- **Last updated:** 2021-12-29

## Collaborators

- [object Object]
- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT03822390

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT03822390, "Diagnostic Performance of a Convolutional Neural Network for Diminutive Colorectal Polyp Recognition". Retrieved via AI Analytics 2026-06-09 from https://api.ai-analytics.org/clinical/NCT03822390. Licensed CC0.

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