# Predictive Diagnosis of Ulcero-Necrotizing EnteroColitis in Premature Babies Using an Artificial Intelligence Approach Based on Early Analysis of the Fecal Microbiota

> **NCT06727877** · NA · RECRUITING · sponsor: **University Hospital, Clermont-Ferrand** · enrollment: 1000 (estimated)

## Conditions studied

- Necrotizing Enterocolitis (NEC)
- Healthy Control

## Interventions

- **DIAGNOSTIC_TEST:** Ability of early digestive microbiota analysis (using artificial intelligence) to predict the occurrence of NEC diagnosed according to the Bell classification.

## Key facts

- **NCT ID:** NCT06727877
- **Lead sponsor:** University Hospital, Clermont-Ferrand
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** RECRUITING
- **Start date:** 2025-04-01
- **Primary completion:** 2027-06-01
- **Final completion:** 2027-06-01
- **Target enrollment:** 1000 (ESTIMATED)
- **Last updated:** 2026-04-06


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06727877

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06727877, "Predictive Diagnosis of Ulcero-Necrotizing EnteroColitis in Premature Babies Using an Artificial Intelligence Approach Based on Early Analysis of the Fecal Microbiota". Retrieved via AI Analytics 2026-06-25 from https://api.ai-analytics.org/clinical/NCT06727877. Licensed CC0.

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