公开(公告)号：US20220338723A1

公开(公告)日：2022-10-27

申请号：US17730136

申请日：2022-04-26

Applicant: Align Technology, Inc.

Inventor： Shai FARKASH ,  Yossef Y. ATIYA ,  Maayan MOSHE

IPC: A61B1/24 ,  A61B1/05

Abstract: Provided herein are systems for monitoring a subject's teeth during orthodontic treatment. In particular, described herein are apparatuses having a fixed focal length for coupling to a patient's smartphone, including a built-in lip/cheek retractor. These smartphone dental imaging apparatuses may be configured to easily and robustly interface with the user's smartphone to allow capture of dental images.

公开(公告)号：US20220189611A1

公开(公告)日：2022-06-16

申请号：US17549830

申请日：2021-12-13

Applicant: Align Technology, Inc.

Inventor： Shai FARKASH ,  Yossef ATIYA ,  Maayan MOSHE ,  Moti BEN-DOV ,  Raphael LEVY ,  Doron MALKA

IPC: G16H30/40 ,  G16H50/20 ,  G16H70/60 ,  G06T7/00 ,  A61B1/24 ,  A61B1/06 ,  A61B1/04 ,  A61C9/00

Abstract: Methods and apparatuses for assessing oral health and automatically providing diagnosis of one or more oral diseases. Described herein are intraoral scanning methods and apparatuses for collecting and analyzing image data and to detect and visualize features within image data that are indicative of oral diseases or conditions, such as gingival inflammation or oral cancer. These methods and apparatuses may be used for identifying and evaluating lesions, redness and inflammation in soft tissue and caries and cracks in the teeth. The methods an include training a machine learning model and using the trained machine learning model to provide a diagnosis of an oral disease or condition based on image data collected using multiple scanning modes of an intraoral scanner.

公开(公告)号：US20210073998A1

公开(公告)日：2021-03-11

申请号：US17013513

申请日：2020-09-04

Applicant: Align Technology, Inc.

Inventor： Chad C. BROWN ,  Yun GAO ,  Pavel AGNIASHVILI ,  Avraham ZULTI ,  Jonathan COSLOVSKY ,  Christopher E. CRAMER ,  Roman GUDCHENKO ,  Ofer SAPHIER ,  Adi LEVIN ,  Maayan MOSHE ,  Doron MALKA

IPC: G06T7/11 ,  G06T7/00 ,  G06N3/04

Abstract: Methods and apparatuses (including systems and devices), including computer-implemented methods for segmenting, correcting and/or modifying a three-dimensional (3D) model of a subject's oral cavity to determine individual components such as teeth, gingiva, tongue, palate, etc., that may be selective and/or collectively digitally manipulated. In some implementations, artificial intelligence uses libraries of labeled 2D images and 3D dental models to learn how to segment a 3D dental model of a subject's oral cavity using 2D images, height map and/or other data and projection values that relate the 2D images to the 3D model. As noted herein, the dental classes can include a variety of intra-oral and extra-oral objects and can be represented as binary values, discrete values, a continuum of height map data, etc. In some implementations, several dental classes are predicted concurrently.