Yanning Ma , Yiran Li , Xulin Liu , Jie Gao , Axian Wang , Haiwen chen , Zhi Liu , Zuolin Jin
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引用次数: 0
Abstract
Orthodontic treatment is a subject of prevention, treatment and prognostic care for malocclusion. The complexity and multimodality of orthodontic treatment restrict the development of intelligent orthodontics, due to the different growth and development characteristics of patients with different treatment stages and the different prognosis of treatment at different stages. Digital twin technology can effectively solve the problems of orthodontics ,due to its ability to interpret the deep information of big data. Building upon medical knowledge, this paper succinctly summarizes the application of digital twin technology in key areas of orthodontics, including precision Medicine, personalized orthodontic treatment, prediction of soft and hard tissues before and after orthodontic treatment, and the orthodontic cloud platform. The study provides a feasibility analysis of an intelligent predictive model for orthodontic treatment under multimodal fusion, offering a robust solution for establishing a comprehensive digital twin-assisted diagnostic paradigm.
期刊介绍:
Displays is the international journal covering the research and development of display technology, its effective presentation and perception of information, and applications and systems including display-human interface.
Technical papers on practical developments in Displays technology provide an effective channel to promote greater understanding and cross-fertilization across the diverse disciplines of the Displays community. Original research papers solving ergonomics issues at the display-human interface advance effective presentation of information. Tutorial papers covering fundamentals intended for display technologies and human factor engineers new to the field will also occasionally featured.