US 11,654,001 B2
Molar trimming prediction and validation using machine learning
Roman A. Roschin, Moscow (RU); Evgenii Vladimirovich Karnygin, Moscow (RU); Sergey Grebenkin, Moscow (RU); Dmitry Guskov, Moscow (RU); Dmitrii Ischeykin, Moscow (RU); Ivan Potapenko, Berdsk (RU); Denis Durdin, Novosibirsk (RU); Roman Gudchenko, Moscow (RU); Vasily Paraketsov, Moscow (RU); Mikhail Gorodilov, Novosibirsk (RU); Alexey Vladykin, Balashikha (RU); Roman Solovyev, Novosibirsk (RU); Alexander Beliaev, Moscow (RU); Elizaveta Ulianenko, Novosibirsk (RU); Leonid Trofimov, Novosibirsk (RU); Anzhelika Son, Novosibirsk (RU); Nikolay Zhirnov, Moscow (RU); and Alexander Vovchenko, Moscow (RU)
Assigned to Align Technology, Inc., San Jose, CA (US)
Filed by ALIGN TECHNOLOGY, INC., San Jose, CA (US)
Filed on Oct. 4, 2019, as Appl. No. 16/593,690.
Claims priority of provisional application 62/741,465, filed on Oct. 4, 2018.
Prior Publication US 2020/0107915 A1, Apr. 9, 2020
Int. Cl. A61C 9/00 (2006.01); A61C 13/34 (2006.01)
CPC A61C 9/0053 (2013.01) [A61C 13/34 (2013.01)] 18 Claims
OG exemplary drawing
 
16. A method comprising:
acquiring a three-dimensional (3D) model of a patient's teeth;
extracting one or more dental features of the patient's teeth from the 3D model of the patient's teeth, the one or more dental features corresponding to geometrical properties of the patient's teeth;
applying the one or more dental features to a classifier, the classifier configured to provide a probability the dental features correspond to one or more trimming factors forming a basis to trim at least a portion of the 3D model of the patient's teeth; and
outputting from a computing device the probability the dental features correspond to the one or more trimming factors; and
trimming the 3D model of the patient's teeth based on the probability the dental features correspond to the one or more trimming factors, wherein the trimming comprises trimming or removing at least one-third (⅓) of a target tooth from the 3D model of the patient's teeth.