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Development and Clinical Application of an AI Diagnostic Model for Detecting Dental Numerical Anomalies in Children

Development and Clinical Application of an AI Diagnostic Model for Detecting Dental Numerical Anomalies in Children Based on Panoramic Radiographs

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500113592
Enrollment
Unknown
Registered
2025-12-01
Start date
2026-01-01
Completion date
Unknown
Last updated
2025-12-08

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

Conditions

Dental numerical anomalies

Interventions

Gold Standard:The joint labeling results of two senior title researchers
Index test:1.Collection of Panoramic Radiograph Data 2.Tooth Annotation 3.Development of the Artificial Intelligence Model

Sponsors

Beijing Stomatological Hospital , Capital Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
6 Years to 7 Years

Inclusion criteria

Inclusion criteria: 1.The age at the time of shooting the panorama radiograph should be 6 to 7 years old, with no gender restrictions. The shooting time should be in 2015 or later; 2.The image is clear, without distortion or artifacts, etc;

Exclusion criteria

Exclusion criteria: 1.At the time of shooting, there were genetic diseases, abnormal development of the jawbone and other diseases;

Design outcomes

Primary

MeasureTime frame
Sensitivity;Specificity;—

Secondary

MeasureTime frame
Negative predictive value;Positive predictive value;—

Countries

China

Contacts

Public ContactZhien Feng

Beijing Stomatological Hospital , Capital Medical University

jyfzhen@126.com+86 10 57099150

Outcome results

None listed

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