Dynasmile: Ai-Powered Smile Analysis Software

This study aims to introduce Dynasmile, an AI-driven software solution for automating video-based smile analysis in orthodontics, improving efficiency and accuracy in clinical settings. The study employed a video-based smile analysis approach using AI algorithms integrated with Dynasmile software. The system analyzes videos to detect smile intensity and dentofacial landmarks. Approval was obtained from the institutional Ethics Committee. The software utilizes Python and several libraries, including OpenCV and Deepface, operating on an EC2 cloud server to process and analyze data. Dentofacial landmarks were automatically identified, and measurements were made to assess various esthetic parameters of the smile. Dynasmile significantly reduced the time for video-based smile analysis, completing the process in less than 3.5 minutes. The software accurately detected the highest smile intensity frames and produced reliable dentofacial measurements, consistent with orthodontic evaluations. Dynasmile represents a breakthrough in automating smile analysis, offering a more efficient, consistent, and clinically viable alternative to traditional manual methods. Its integration of AI not only saves time but also enhances the precision of orthodontic assessments.

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Publication Details

Journal
International Dental Journal
Published
2025-10-01
DOI
https://doi.org/10.1016/j.identj.2025.105483
Primary Topic
Orthodontics and Dentofacial Orthopedics
Type
article
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article

Dynasmile: Ai-Powered Smile Analysis Software

Yuxing Bai, Ke Chen, Xianju Xie
International Dental Journal
Orthodontics and Dentofacial Orthopedics
article

Dynasmile: Ai-Powered Smile Analysis Software

Yuxing Bai, Ke Chen, Xianju Xie
article en

Abstract

This study aims to introduce Dynasmile, an AI-driven software solution for automating video-based smile analysis in orthodontics, improving efficiency and accuracy in clinical settings. The study employed a video-based smile analysis approach using AI algorithms integrated with Dynasmile software. The system analyzes videos to detect smile intensity and dentofacial landmarks. Approval was obtained from the institutional Ethics Committee. The software utilizes Python and several libraries, including OpenCV and Deepface, operating on an EC2 cloud server to process and analyze data. Dentofacial landmarks were automatically identified, and measurements were made to assess various esthetic parameters of the smile. Dynasmile significantly reduced the time for video-based smile analysis, completing the process in less than 3.5 minutes. The software accurately detected the highest smile intensity frames and produced reliable dentofacial measurements, consistent with orthodontic evaluations. Dynasmile represents a breakthrough in automating smile analysis, offering a more efficient, consistent, and clinically viable alternative to traditional manual methods. Its integration of AI not only saves time but also enhances the precision of orthodontic assessments.

International Dental JournalVol. 75
Capital Medical University (CN)
Openalex Percentile: Top 65%
Orthodontics and Dentofacial Orthopedics
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