KANG, Je Hun,강제훈,KANG, Kweon Seok,강권석,KIM, Eui Joong,김의중
申请号:
KRKR2018/001681
公开号:
WO2019/132109A1
申请日:
2018.02.08
申请国别(地区):
KR
年份:
2019
代理人:
摘要:
A stepwise automatic orthodontic system and method using artificial intelligence technology, according to the present invention, are disclosed. The stepwise automatic orthodontic method using artificial intelligence technology comprises the steps of: scanning a teeth state of a patient by using an oral scanner; determining, by a server, to which group of grouped data in a database the scanned teeth data belongs; generating, by the server, a predicted digital orthodontic teeth data set by gradually moving, with reference to data of the determined group, teeth requiring orthodontic treatment; transmitting, by the server, the orthodontically processed digital orthodontic teeth data set of the patient to a three-dimensional printer and generating and outputting, by the three-dimensional printer, an orthodontic model; and generating, by a vacuum molder, a transparent brace by vacuum-pressing a transparent synthetic resin plate to the generated orthodontic model. According to an embodiment of the present invention, orthodontic patients are clustered or grouped through unsupervised learning on the basis of good orthodontic data excluding personal information of the patients, and a stepwise teeth movement plan for orthodontics can be established through the grouped data and repetitive reinforcement learning that satisfies orthodontic constraints presented in an orthodontic textbook.La présente invention concerne un système et un procédé orthodontique automatique pas à pas utilisant la technologie de l'intelligence artificielle. Le procédé orthodontique automatique pas à pas utilisant la technologie de l'intelligence artificielle comprend les étapes suivantes : le balayage d'un état des dents d'un patient en utilisant un scanner buccal ; un serveur détermine à quel groupe de données groupées, dans une base de données, les données de dents balayées appartient ; le serveur génère un ensemble de données de dents orthodontiques numériques prédit par déplacement progressif, en ré