The Impact of Nasolabial Angle on Nose and Teeth Morphology: An Evaluation Using Artificial Intelligence in Orthodontics and Cleft Lip/Palate Treatment

Abstract

Background: The nasolabial angle (NLA) plays a crucial role in facial aesthetics and is particularly significant in individuals with cleft lip and/or palate (CLP). The integration of artificial intelligence (AI) has opened new avenues for analyzing facial morphology and its relationship with dental structures.

Methods: This literature review examined recent advancements in AI technologies, focusing on their efficacy in assessing the NLA and its implications for nose and teeth morphology. A comprehensive analysis of various AI methodologies, including deep learning and automated landmark detection, was conducted to synthesize existing research findings.

Results: The review highlighted that AI algorithms demonstrated high accuracy in identifying cephalometric landmarks, with studies reporting an accuracy of over 95%. The analysis showed a notable correlation between the NLA and facial aesthetics, particularly in CLP patients. Furthermore, variations in NLA measurements across different populations were documented, indicating the influence of genetic and environmental factors on facial morphology.

Conclusion: AI technologies are revolutionizing by providing precise and automated assessments of facial features. The findings underscore the significance of the nasolabial angle in determining optimal treatment plans for patients, particularly those with CLP. Future research should focus on standardizing NLA measurements and further exploring the interplay between facial aesthetics and dental structures, with an emphasis on leveraging AI for personalized treatment strategies.