A prospective cohort study based on ultrasonic artificial intelligence to evaluate fetal lung maturity

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR1900024534

Enrollment

Unknown

Registered

2019-07-14

Start date

2019-08-01

Completion date

Unknown

Last updated

2019-07-15

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

Conditions

Neonatal respiratory morbidity

Interventions

Gold Standard:Clinical outcomes

Index test:Ultrasound&#32

Artificial&#32

Intelligence&#32

(Ultrasound&#32

Imaging&#32

Histology)&#32

Technology

Eligibility

Sex/Gender

Female

Inclusion criteria

Inclusion criteria: 1. single pregnancy; 2. gestational age of delivery 34.0-40.6 weeks; 3. card establishment and labor examination and delivery in our hospital, with complete medical history data.

Exclusion criteria

Exclusion criteria: (1) used corticosteroids after ultrasound examination and before delivery; (2) congenital malformation or chromosomal abnormality of the fetus; (3) neonatal septicemia, umbilical cord blood pH value < 7, heart failure, symptomatic anemia (hemoglobin <12 mg/dL), postpartum diagnosis of meconium inhalation, neonatal structural malformation or chromosomal abnormalities.

Design outcomes

Primary

Measure	Time frame
Fetal lung image;SEN, SPE, ACC, AUC of ROC;	—

Countries

China

Contacts

Public ContactYun-yun Ren

the Obstetrics and Gynecology Hospital of Fudan University

renyunyun@hotmail.com+86 13661990216

Outcome results

None listed

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