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A Real-World Study of Digital Nutritional Diagnosis, Treatment, and Dynamic Monitoring for Polycystic Ovary Syndrome Based on Multimodal AI Models

A Real-World Study of Digital Nutritional Diagnosis, Treatment, and Dynamic Monitoring for Polycystic Ovary Syndrome Based on Multimodal AI Models

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2600117107
Enrollment
Unknown
Registered
2026-01-20
Start date
2026-02-01
Completion date
Unknown
Last updated
2026-01-27

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

Conditions

Polycystic Ovary Syndrome (PCOS)

Interventions

Experimental group:The experimental group will use the Weight Management System for online nutrition education, interactive communication, and follow up monitoring.
Control group:Participants in the control group will undergo traditional offline nutrition and exercise interventions.

Sponsors

Sichuan Provincial Maternity and Child Health Care Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 49 Years

Inclusion criteria

Inclusion criteria: 1.Women aged 18–49, diagnosed with polycystic ovary syndrome, with a BMI=24 kg/m^2, or presenting abnormal body composition indicators.

Exclusion criteria

Exclusion criteria: 1.Individuals with a history of mental disorders, no desire for fertility or weight management, or those with PCOS concurrently complicated by other severe conditions affecting the heart, brain, kidneys, or other major organs.

Design outcomes

Primary

MeasureTime frame
pregnancy rate;weight management success rate;—

Countries

China

Contacts

Public ContactZhang Ju

Sichuan Provincial Maternity and Child Health Care Hospital

36919151@qq.com+86 28 6597 8146

Outcome results

None listed

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