Mandibular Asymmetry
Conditions
Keywords
chin asymmetry, photographic analysis, artificial intelligence
Brief 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.
Detailed 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.
Interventions
OTHERLooksmaxxing 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
Konya Necmettin Erbakan Üniversitesi
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
10 Years to 40 Years
Healthy volunteers
Yes
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Accuracy of Looksmaxxing AI in Detecting Chin Deviation | At study completion (October 2025) | The proportion of correct classifications (presence or absence of chin deviation) made by the Looksmaxxing AI application compared to the clinical gold standard, expressed as a percentage. |
Countries
Turkey (Türkiye)
Outcome results
None listed