Mohammed Hisham, Daniel Ben K, Farella Mauro
Discipline of Orthodontics, Faculty of Dentistry, University of Otago, Dunedin, New Zealand.
Higher Education Development Centre, University of Otago, Dunedin, New Zealand.
J R Soc N Z. 2024 Feb 19;55(1):192-205. doi: 10.1080/03036758.2024.2316226. eCollection 2025.
The desire for an attractive smile is a major reason people seek orthodontic and other forms of cosmetic dental treatment. An understanding of the features of a smile is important for dental diagnosis and treatment planning. The common methods of smile analysis rely on the visual analysis of smile aesthetics using posed photographs, and videos and gathering information about smiles through patient questionnaires and diaries. Recent emerging trends utilise artificial intelligence and automated systems capable of detecting and analysing smiles using motion capture, computer vision, computer graphics, infrared and thermal imaging, electromyography, and optical sensors. This review aims to provide an up-to-date summary of emerging trends in smile analysis in dentistry and orthodontics. Understanding the advantages and limitations of emerging tools for smile analysis will enable clinicians to provide tailored and up-to-date treatment plans.
渴望拥有迷人的笑容是人们寻求正畸及其他形式牙齿美容治疗的主要原因。了解笑容的特征对于牙科诊断和治疗计划很重要。笑容分析的常见方法依赖于使用摆拍照片、视频对笑容美学进行视觉分析，并通过患者问卷和日记收集有关笑容的信息。最近出现的趋势是利用人工智能和自动化系统，这些系统能够使用动作捕捉、计算机视觉、计算机图形学、红外和热成像、肌电图以及光学传感器来检测和分析笑容。这篇综述旨在提供牙科和正畸领域笑容分析新趋势的最新总结。了解笑容分析新兴工具的优缺点将使临床医生能够提供量身定制的最新治疗方案。
