The Potential of AI-Powered Face Enhancement Technologies in Face-Driven Orthodontic Treatment Planning
Source abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Orthodontics and Dentofacial Orthopedics · Facial Rejuvenation and Surgery Techniques · Body Image and Dysmorphia Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Orthodontics, Regenerative and Forensic Dentistry, Faculty of Medicine, Comenius University in Bratislava, 81102 Bratislava, Slovakia
Department of Orthodontics and Paediatric Dentistry, Faculty of Dentistry, University of Szeged, H-6720 Szeged, Hungary
Faculty of Medicine, Masaryk University in Brno, 62500 Brno, Czech Republic
Department of Mathematics and Descriptive Geometry, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, 81005 Bratislava, Slovakia
Funding
Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR (KEGA) · Vedecká Grantová Agentúra MŠVVaŠ SR a SAV (VEGA) · Agentúra na Podporu Výskumu a Vývoja (APVV)
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