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

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.

Základní údaje

Originální název

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

Autoři

TOMASIK, Juraj, Marton ZSOLDOS, Kristína MAJDÁKOVÁ (703 Slovensko, domácí), Alexander FLEISCHMANN (703 Slovensko, domácí), Lubica ORAVCOVA, Dominika Sonak BALLOVA a Andrej THURZO

Vydání

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

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30208 Dentistry, oral surgery and medicine

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 2.700 v roce 2022

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.3390/app14177837

UT WoS

001311245100001

Klíčová slova anglicky

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

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 1. 10. 2024 12:25, Mgr. Tereza Miškechová

Anotace

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.

Citovat

TOMASIK, Juraj, Marton ZSOLDOS, Kristína MAJDÁKOVÁ, Alexander FLEISCHMANN, Lubica ORAVCOVA, Dominika Sonak BALLOVA a Andrej THURZO. The Potential of AI-Powered Face Enhancement Technologies in Face-Driven Orthodontic Treatment Planning. Applied Sciences-Basel. BASEL: MDPI, 2024, roč. 14, č. 17, s. 1-21. ISSN 2076-3417. Dostupné z: https://dx.doi.org/10.3390/app14177837.

@article{2439140,
   author = {Tomasik, Juraj and Zsoldos, Marton and Majdáková, Kristína and Fleischmann, Alexander and Oravcova, Lubica and Ballova, Dominika Sonak and Thurzo, Andrej},
   article_location = {BASEL},
   article_number = {17},
   doi = {http://dx.doi.org/10.3390/app14177837},
   keywords = {orthodontics; dentistry; FaceApp; lip fullness; lower face height; aesthetics},
   language = {eng},
   issn = {2076-3417},
   journal = {Applied Sciences-Basel},
   title = {The Potential of AI-Powered Face Enhancement Technologies in Face-Driven Orthodontic Treatment Planning},
   url = {https://www.mdpi.com/2076-3417/14/17/7837},
   volume = {14},
   year = {2024}
}

TY  - JOUR
ID  - 2439140
AU  - Tomasik, Juraj - Zsoldos, Marton - Majdáková, Kristína - Fleischmann, Alexander - Oravcova, Lubica - Ballova, Dominika Sonak - Thurzo, Andrej
PY  - 2024
TI  - The Potential of AI-Powered Face Enhancement Technologies in Face-Driven Orthodontic Treatment Planning
JF  - Applied Sciences-Basel
VL  - 14
IS  - 17
SP  - 1-21
EP  - 1-21
PB  - MDPI
SN  - 20763417
KW  - orthodontics
KW  - dentistry
KW  - FaceApp
KW  - lip fullness
KW  - lower face height
KW  - aesthetics
UR  - https://www.mdpi.com/2076-3417/14/17/7837
N2  - 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.
ER  -

TOMASIK, Juraj, Marton ZSOLDOS, Kristína MAJDÁKOVÁ, Alexander FLEISCHMANN, Lubica ORAVCOVA, Dominika Sonak BALLOVA a Andrej THURZO. The Potential of AI-Powered Face Enhancement Technologies in Face-Driven Orthodontic Treatment Planning. \textit{Applied Sciences-Basel}. BASEL: MDPI, 2024, roč.~14, č.~17, s.~1-21. ISSN~2076-3417. Dostupné z: https://dx.doi.org/10.3390/app14177837.

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