公开(公告)号：US20240312605A1

公开(公告)日：2024-09-19

申请号：US18673295

申请日：2024-05-23

Applicant: Align Technology, Inc.

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

IPC: G16H30/40 ,  A61B1/04 ,  A61B1/06 ,  A61B1/24 ,  A61C9/00 ,  G06N20/00 ,  G06T7/00 ,  G16H50/20 ,  G16H70/60

CPC classification number: G16H30/40 ,  A61B1/043 ,  A61B1/0638 ,  A61B1/24 ,  A61C9/0053 ,  G06T7/0016 ,  G16H50/20 ,  G16H70/60 ,  G06N20/00 ,  G06T2200/04 ,  G06T2207/10024 ,  G06T2207/10048 ,  G06T2207/10064 ,  G06T2207/20081 ,  G06T2207/30036 ,  G06T2207/30096

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：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.