# Development and Validation of a CT-based Diagnostic Models Using Artificial Intelligence for Detection of Small Bowel Obstruction

> **NCT05566158** · — · UNKNOWN · sponsor: **Fondation Hôpital Saint-Joseph** · enrollment: 8000 (actual)

## Conditions studied

- Small Bowel Obstruction

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT05566158
- **Lead sponsor:** Fondation Hôpital Saint-Joseph
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2022-08-09
- **Primary completion:** 2022-09-09
- **Final completion:** 2023-12-31
- **Target enrollment:** 8000 (ACTUAL)
- **Last updated:** 2022-10-04


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05566158

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05566158, "Development and Validation of a CT-based Diagnostic Models Using Artificial Intelligence for Detection of Small Bowel Obstruction". Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/clinical/NCT05566158. Licensed CC0.

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