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Looksmaxxing AI for Chin Deviation Detection

NCT07197359 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 90

Last updated 2025-10-02

No results posted yet for this study

Summary

This study aims to evaluate whether an artificial intelligence application called Looksmaxxing AI will be able to correctly identify chin deviation (chin asymmetry) from standard frontal facial photographs. A total of 540 photographs will be included in the study. The eye areas will be covered to protect identity. Each photo will be analyzed by the AI, and its answers will be compared with clinical reality. The accuracy of two versions of the software (Looksmaxxing 4o and 5) will be assessed. The results may help show whether simple photo-based analysis can support early detection of chin asymmetry, especially in areas with limited access to orthodontic examination.

Conditions

  • Mandibular Asymmetry

Interventions

OTHER

Looksmaxxing AI Facial Analysis

Participants' standardized frontal facial photographs will be analyzed using the Looksmaxxing AI application (versions 4o and 5) to determine the presence or absence of chin deviation relative to the facial midline.

Sponsors & Collaborators

  • Konya Necmettin Erbakan Üniversitesi

    lead OTHER

Eligibility

Min Age
10 Years
Max Age
40 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-09-01
Primary Completion
2025-09-30
Completion
2025-10-15

Countries

  • Turkey (Türkiye)

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 NCT07197359 on ClinicalTrials.gov