J 2024

The Potential of AI-Powered Face Enhancement Technologies in Face-Driven Orthodontic Treatment Planning

TOMASIK, Juraj, Marton ZSOLDOS, Kristína MAJDÁKOVÁ, Alexander FLEISCHMANN, Lubica ORAVCOVA et. al.

Basic information

Original name

The Potential of AI-Powered Face Enhancement Technologies in Face-Driven Orthodontic Treatment Planning

Authors

TOMASIK, Juraj, Marton ZSOLDOS, Kristína MAJDÁKOVÁ (703 Slovakia, belonging to the institution), Alexander FLEISCHMANN (703 Slovakia, belonging to the institution), Lubica ORAVCOVA, Dominika Sonak BALLOVA and Andrej THURZO

Edition

Applied Sciences-Basel, BASEL, MDPI, 2024, 2076-3417

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30208 Dentistry, oral surgery and medicine

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 2.700 in 2022

Organization unit

Faculty of Medicine

DOI

UT WoS

001311245100001

Keywords in English

orthodontics; dentistry; FaceApp; lip fullness; lower face height; aesthetics

Tags

Tags

International impact, Reviewed
Změněno: 1/10/2024 12:25, Mgr. Tereza Miškechová

Abstract

V originále

Featured Application AI-powered face enhancement technologies have found their role in orthodontic treatment planning. Our study has shown that AI is able to modify face pictures in an attractive way, and most such changes can be achieved by an orthodontic treatment. Such modifications could serve as a guide for orthodontists to achieve improved facial harmony in their patients.Abstract Improving one's appearance is one of the main reasons to undergo an orthodontic therapy. While occlusion is important, not just for long-term stability, aesthetics is often considered a key factor in patient's satisfaction. Following recent advances in artificial intelligence (AI), this study set out to investigate whether AI can help guide orthodontists in diagnosis and treatment planning. In this study, 25 male and 25 female faces were generated and consequently enhanced using FaceApp (ver. 11.10, FaceApp Technology Limited, Limassol, Cyprus), one of the many pictures transforming applications on the market. Both original and FaceApp-modified pictures were then assessed by 441 respondents regarding their attractiveness, and the pictures were further compared using a software for picture analyses. Statistical analysis was performed using Chi-square goodness of fit test R Studio Studio (ver. 4.1.1, R Core Team, Vienna, Austria) software and the level of statistical significance was set to 0.05. The interrater reliability was tested using Fleiss' Kappa for m Raters. The results showed that in 49 out of 50 cases, the FaceApp-enhanced pictures were considered to be more attractive. Selected pictures were further analyzed using the graphical software GIMP. The most prominent changes were observed in lip fullness, eye size, and lower face height. The results suggest that AI-powered face enhancement could be a part of the diagnosis and treatment planning stages in orthodontics. These enhanced pictures could steer clinicians towards soft-tissue-oriented and personalized treatment planning, respecting patients' wishes for improved face appearance.