Looksmaxxing AI for Chin Deviation Detection

Konya Necmettin Erbakan Üniversitesi

Status: Active, not recruiting

Conditions: Mandibular Asymmetry

Treatments: Other: Looksmaxxing AI Facial Analysis

Study type: Observational

Funder types: Other

Identifiers

NCT07197359

2025/635

Details and patient eligibility

About

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.

Full description

This observational study will investigate the accuracy of the Looksmaxxing AI application in detecting chin deviation based on standardized frontal facial photographs. A total of 540 images will be included. To protect identity, the eye areas of all participants will be covered. The AI will be asked to determine whether chin deviation is present relative to the midline of the face (excluding the nose).

The study population will consist of two equally sized groups:

270 individuals with clinically observed chin deviation (laterognathia)

270 individuals with clinically normal chin position

The responses provided by Looksmaxxing AI will be compared with the clinical reality and recorded for accuracy. Both versions of the software, Looksmaxxing 4o and Looksmaxxing 5, will be analyzed to evaluate their level of consistency with clinical findings. Results will be reported as accuracy percentages. In addition, prediction accuracy will be compared between individuals with and without chin deviation, and the statistical significance of the difference will be tested using the Chi-square method.

Enrollment: 90 estimated patients

Sex: All

Ages: 10 to 40 years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Absence of any craniofacial anomaly

No major wound or scar in the facial or neck region

No history of previous orthodontic treatment

For male participants: absence of a long beard that could affect the appearance of the chin

Availability of standardized frontal facial photographs taken in natural head position

Exclusion criteria

• Photographs in which the patient's face appears slightly angled or turned sideways

Blurred or low-quality photographs with reduced clarity

Trial design

90 participants in 2 patient groups

With Chin Deviation

Description:

Participants clinically diagnosed with chin deviation (laterognathia) based on frontal facial examination.

Treatment:

Other: Looksmaxxing AI Facial Analysis

Without Chin Deviation

Description:

Participants with clinically normal chin position confirmed by frontal facial examination.

Treatment:

Other: Looksmaxxing AI Facial Analysis