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A Study of AI Virtual Patient-Assisted Teaching for Colposcopy Diagnosis

Development and Evaluation of an AI-Based Colposcopy Teaching Model Integrating Virtual Patients and Big Data Analytics in Obstetrics and Gynecology

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2600128526
Enrollment
Unknown
Registered
2026-07-22
Start date
2026-08-01
Completion date
Unknown
Last updated
2026-08-03

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

Conditions

Colposcopic diagnosis of cervical cancer and cervical precancerous lesions (cervical intraepithelial neoplasia, CIN)

Interventions

AI-assisted teaching group:AI-Assisted Colposcopy Teaching
Traditional teaching group:Traditional Teaching for Colposcopic Diagnosis

Sponsors

The second affiliated hospital of Zhejiang University school of medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Residents aged 18 years or older; 2.Have not received systematic specialized training in colposcopy; 3.Voluntarily participate in the study and provide written informed consent;

Exclusion criteria

Exclusion criteria: 1. Have received systematic specialized training in colposcopy; 2. Participants who are unable to complete the follow-up assessments;

Design outcomes

Primary

MeasureTime frame
Vaginal speculum theory examination score;Vaginal endoscopy operation skill score;

Secondary

MeasureTime frame
Learning satisfaction;

Countries

China

Contacts

Public ContactYan Chunxiao

The second affiliated hospital of Zhejiang University school of medicine

chat_coco@163.com+86 571 86993621

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Aug 10, 2026