Artificial Intelligence in Orthodontics: A Review

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Ali Watted, Rand Ghoul, Nezar Watted, Peter Borbély, Amir Watted, Hanali Abu Shilbayih, Muhamad Abu-Hussein

Abstract

Artificial Intelligence tools in Orthodontics advance the role and facilitate the analyses of imaging phenotypes in patients that need to orthodontic, orthopedic and/or surgical correction. That includes automated procedures for image anonymization, segmentation, landmark identification, standardized orientation, registration and quantification/classification/characterization.Their application in orthodontics has progressed slowly, despite promising results. The available literature pertaining to the orthodontic applications of AI and ML has not been adequately synthesized and reviewed. This article aims to discuss how Artificial Intelligence (AI) with its powerful pattern finding and prediction algorithms are helping orthodontics.    

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