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Establishment of an artificial intelligence-assisted prediction model for neonatal fulminant necrotizing enterocolitis

Establishment of an artificial intelligence-assisted prediction model for neonatal fulminant necrotizing enterocolitis

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500103143
Enrollment
Unknown
Registered
2025-05-26
Start date
2025-06-06
Completion date
Unknown
Last updated
2025-06-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Neonatal necrotizing enterocolitis

Interventions

Observation group:None

Sponsors

Beijing Children's Hospital, Capital Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 28 Days

Inclusion criteria

Inclusion criteria: 1 The neonatal period (= Bell stage II.

Exclusion criteria

Exclusion criteria: 1 Severe gastrointestinal malformation; 2 Secondary NEC after intestinal surgery.

Design outcomes

Primary

MeasureTime frame
Incidence of fulminant NEC;—

Secondary

MeasureTime frame
Length of intestinal necrosis;Number of blood product transfusions after NEC diagnosis;—

Countries

China

Contacts

Public Contactjiang min

Beijing Children's Hospital, Capital Medical University

jiangmin7496@sina.com+86 136 9363 4919

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026