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Application Research on Multi-Dimensional Maternal and Infant Health Management Before and During Pregnancy Based on Artificial Intelligence

Application Research on Multi-Dimensional Maternal and Infant Health Management Before and During Pregnancy Based on Artificial Intelligence

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2500112298
Enrollment
Unknown
Registered
2025-11-12
Start date
2026-01-01
Completion date
Unknown
Last updated
2026-03-30

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

Conditions

Fetal chromosomal abnormalitiesPregnancy-related diseases include gestational hypertension

Interventions

Agent Group:AI system+conventional management

Sponsors

Jinan Maternal and Child Health Care Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 45 Years

Inclusion criteria

Inclusion criteria: 1. Covering all - cycle populations: (1) Pre - pregnancy group: Women planning pregnancy (within 6 months before pregnancy), aged 20 - 40 years old; (2) Low - and medium - risk group during pregnancy: 6 - 28 weeks of pregnancy, without definite indications for prenatal diagnosis, aged 18 - 45 years old; (3) High - risk group during pregnancy: 11 - 36 weeks of pregnancy, meeting the indications for prenatal diagnosis (abnormal amniotic fluid, suspected fetal malformation, family history of genetic diseases, expected date of delivery age >= 35 years old, high risk in prenatal screening / non - invasive DNA, etc.), aged 18 - 45 years old; 2. Voluntarily participate and sign the informed consent form; 3. Can understand the Chinese language and use intelligent devices (mobile phones / computers) to complete the interaction with the AI system; 4. No serious communication disorders or cognitive impairments.

Exclusion criteria

Exclusion criteria: 1. Severe underlying diseases: Such as chronic renal failure, decompensated liver cirrhosis, severe congenital heart disease, etc., which prevent the subjects from cooperating with long-term follow-up; 2. Mental illnesses: Such as schizophrenia, major depressive episode, which make the subjects unable to complete scale assessment or system operation; 3. Clearly abnormal pregnancy outcomes: Such as confirmed inevitable abortion, fetal arrest; 4. Concurrent participation in other maternal and infant health intervention studies, which may interfere with the effect of this study; 5. Refusal to provide health data (e.g., diet logs, examination reports), which affects the construction of the AI model.

Design outcomes

Primary

MeasureTime frame
GAD-7 score;Low birth weight rate (<2500g);Nutritional compliance rate;BMI control rate;Prenatal diagnosis compliance rate;Preterm birth rate (delivery at <37 weeks);

Secondary

MeasureTime frame
Outpatient education duration;PHQ-9 score;

Countries

China

Contacts

Public ContactHua Jin

Jinan Maternal and Child Health Care Hospital

tonyshirly@163.com+86 18053153290

Outcome results

None listed

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