Comparing Facial Attractiveness and Professional Acceptance Between Real and <scp>AI</scp> ‐Generated Orthodontic Treatment Outcome Images

ABSTRACT Background Facial attractiveness influences social and professional perceptions, including competence and employability. With the increasing use of artificial intelligence (AI) to generate photorealistic faces, it is important to understand how these images compare to real orthodontic treatment outcomes. Objective To compare perceptions of real versus AI‐generated orthodontic treatment results in terms of attractiveness, employability, and distinguishability. Methods A cross‐sectional online survey included 288 Brazilian adults. Participants Dentists ( n = 76), dental students ( n = 63), and laypeople ( n = 149). Each evaluated three sets of images (pre‐treatment, post‐treatment, and AI‐generated post‐treatment) for three patients. Participants rated facial attractiveness (VAS 0–100), assessed employability, and identified whether the image was AI‐generated. Results AI‐generated images were rated significantly more attractive than real post‐treatment ones (mean VAS: AI = 68.8; Real = 54.4; p &lt; 0.001). Dentists, students, and laypeople all rated AI images higher. Employability was also greater for AI images (50.4%) than real ones (39.1%) ( p = 0.007). Misclassification was common, with dental students achieving the highest accuracy (66.8%). Conclusion Participants showed limited ability to accurately distinguish between real and AI‐generated images. AI‐generated images were perceived as more attractive and had a greater positive impact on employability judgements compared to real post‐treatment images.

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Publication Details

Journal
Orthodontics and Craniofacial Research
Published
2026-05-18
DOI
https://doi.org/10.1111/ocr.70144
Primary Topic
Orthodontics and Dentofacial Orthopedics
Type
article
Field-Weighted Citation Impact
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article

Comparing Facial Attractiveness and Professional Acceptance Between Real and AI ‐Generated Orthodontic Treatment Outcome Images

Marco Antônio Dias da Silva, Sergio Luiz Mota-Júnior, Otso Tirkkonen, Orlando Motohiro TANAKA et al.
Orthodontics and Craniofacial Research
Orthodontics and Dentofacial Orthopedics
article

Comparing Facial Attractiveness and Professional Acceptance Between Real and AI ‐Generated Orthodontic Treatment Outcome Images

Marco Antônio Dias da Silva, Sergio Luiz Mota-Júnior, Otso Tirkkonen, Orlando Motohiro TANAKA, Felipe Calgaro MARTINS, Gil Guilherme Gasparello
article en

Abstract

ABSTRACT Background Facial attractiveness influences social and professional perceptions, including competence and employability. With the increasing use of artificial intelligence (AI) to generate photorealistic faces, it is important to understand how these images compare to real orthodontic treatment outcomes. Objective To compare perceptions of real versus AI‐generated orthodontic treatment results in terms of attractiveness, employability, and distinguishability. Methods A cross‐sectional online survey included 288 Brazilian adults. Participants Dentists ( n = 76), dental students ( n = 63), and laypeople ( n = 149). Each evaluated three sets of images (pre‐treatment, post‐treatment, and AI‐generated post‐treatment) for three patients. Participants rated facial attractiveness (VAS 0–100), assessed employability, and identified whether the image was AI‐generated. Results AI‐generated images were rated significantly more attractive than real post‐treatment ones (mean VAS: AI = 68.8; Real = 54.4; p &lt; 0.001). Dentists, students, and laypeople all rated AI images higher. Employability was also greater for AI images (50.4%) than real ones (39.1%) ( p = 0.007). Misclassification was common, with dental students achieving the highest accuracy (66.8%). Conclusion Participants showed limited ability to accurately distinguish between real and AI‐generated images. AI‐generated images were perceived as more attractive and had a greater positive impact on employability judgements compared to real post‐treatment images.

Orthodontics and Craniofacial Research
Universidade Federal do Rio de Janeiro (BR), Pontifícia Universidade Católica do Paraná (BR), Universidade Federal de Campina Grande (BR), Northern Ostrobothnia Hospital District (FI), University of Oulu (FI)
Openalex Percentile: Top 5%
Orthodontics and Dentofacial Orthopedics
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