FindTrial
Sign In

Establishment of artificial intelligence diagnosis system for abnormal uterine bleeding related diseases

Establishment of artificial intelligence diagnosis system for abnormal uterine bleeding related diseases

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000033758
Enrollment
Unknown
Registered
2020-06-11
Start date
2020-06-09
Completion date
Unknown
Last updated
2020-06-15

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

Conditions

Abnormal uterine bleeding

Interventions

Gold Standard:Medical history collection + gynecological examination + blood routine examination + hysteroscopy exploration + pathological biopsy
Index test:Artificial&#32
intelligence&#32
diagnosis&#32
system

Sponsors

Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: 1. The structural and non structural causes of abnormal uterine bleeding were divided into endometrial polyp (aub-p), adenomyosis (aub-a), uterine leiomyoma (aub-l), endometrial malignant and atypical hyperplasia (aub-m), systemic coagulation related diseases (aub-c), ovulation disorders (aub-o), local endometrial abnormalities (aub-e), iatrogenic Abnormal uterine bleeding (aub-i) and unclassified abnormal uterine bleeding (aub-n); 2. The case information is complete.

Exclusion criteria

Exclusion criteria: Nil

Design outcomes

Primary

MeasureTime frame
sensitivity;specificity;misdiagnosis rate;omission diagnostic rate;positive predictive value;negative predictive value;—

Countries

China

Contacts

Public ContactWang Shixuan

Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology

sxwang@tjh.tjmu.edu.cn+86 13995553319

Outcome results

None listed

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