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AI-Guided Treatment Planning in Orthodontic Patients With Missing Upper Lateral Incisors

NCT07133867 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 110

Last updated 2025-08-21

No results posted yet for this study

Summary

This pilot study aims to evaluate the diagnostic accuracy of artificial intelligence (AI) in orthodontic treatment planning for patients with congenitally missing upper lateral incisors. The study compares AI-generated treatment recommendations with decisions made by experienced orthodontists regarding two main treatment options: space closure and prosthetic replacement. Orthodontic records, including intraoral and extraoral photographs, panoramic radiographs, and cephalometric analyses, will be collected for each case. Two orthodontists with over 10 years of clinical experience will independently evaluate each case using a treatment decision checklist with predefined cutoff points. AI predictions will then be compared to orthodontists' consensus decisions to determine agreement rates and accuracy. The findings will provide insight into the potential role of AI in supporting complex orthodontic decision-making.

Conditions

  • Orthodontic Treatment Planning
  • Congenitally Missing Maxillary Lateral Incisors

Sponsors & Collaborators

  • Cairo University

    lead OTHER

Principal Investigators

  • Professor (Associate) · orthodontic department-cairo university

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-03-28
Primary Completion
2026-03-31
Completion
2026-08-31

Countries

  • Egypt

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07133867 on ClinicalTrials.gov