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公开(公告)号:US20200085546A1
公开(公告)日:2020-03-19
申请号:US16569345
申请日:2019-09-12
Applicant: Align Technology, Inc.
Inventor: Guotu LI , Christopher E. CRAMER , Chad Clayton BROWN , Anton SPIRIDONOV
Abstract: Provided herein are systems and methods for scoring a post-treatment tooth position of a patient's teeth. A patient's dentition may be scanned and/or segmented. Raw dental features, principal component analysis (PCA) features, and/or other features may be extracted and compared to those of other teeth, such as those obtained through automated machine learning systems. A classifier can identify and/or output the post-treatment tooth position of the patient's teeth.
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公开(公告)号:US20250132017A1
公开(公告)日:2025-04-24
申请号:US19001814
申请日:2024-12-26
Applicant: ALIGN TECHNOLOGY, INC.
Inventor: Eric P. MEYER , Christopher E. CRAMER
Abstract: A method of anonymizing clinical data may include receiving a three-dimensional model of representation data corresponding to a body part. The representation data may include a clinically relevant region and an anonymization region. The method may also include extracting, from the representation data, clinical representation data corresponding to the clinically relevant region of the representation data and generating artificial representation data corresponding to the anonymization region of the representation data. The method may also include creating, based at least on the clinical representation data and the artificial representation data. The anonymized representation data may substantially preserve the clinically relevant region.
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公开(公告)号:US20240412848A1
公开(公告)日:2024-12-12
申请号:US18810295
申请日:2024-08-20
Applicant: ALIGN TECHNOLOGY, INC.
Inventor: Eric P MEYER , Christopher E. CRAMER
Abstract: The disclosed systems and methods for anonymizing clinical data may include receiving representation data corresponding to a body part. The representation data may include a clinically relevant region and an anonymization region. The method may include extracting, from the representation data, clinical representation data corresponding to the clinically relevant region of the representation data and generating artificial representation data corresponding to the anonymization region of the representation data. The method may further include creating, based at least on the clinical representation data and the artificial representation data, anonymized representation data that substantially preserves the clinically relevant region. Various other methods, systems, and computer-readable media are also disclosed.
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公开(公告)号:US20240207022A1
公开(公告)日:2024-06-27
申请号:US18602015
申请日:2024-03-11
Applicant: Align Technology, Inc.
Inventor: Guotu LI , Christopher E. CRAMER , Chad Clayton BROWN , Anton SPIRIDONOV
CPC classification number: A61C9/0053 , A61B5/0088 , A61B5/7264 , A61C7/002 , A61C13/20 , A61C13/34
Abstract: Provided herein are systems and methods for scoring a post-treatment tooth position of a patient's teeth. A patient's dentition may be scanned and/or segmented. Raw dental features, principal component analysis (PCA) features, and/or other features may be extracted and compared to those of other teeth, such as those obtained through automated machine learning systems. A classifier can identify and/or output the post-treatment tooth position of the patient's teeth.
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公开(公告)号:US20240122463A1
公开(公告)日:2024-04-18
申请号:US18487942
申请日:2023-10-16
Applicant: ALIGN TECHNOLOGY, INC.
Inventor: Guotu LI , Chao SHI , Chad Clayton BROWN , Christopher E. CRAMER , Phillip Thomas HARRIS , Adam SILL , Will NEVILLE , Ritvik BANSAL
IPC: A61B1/24 , A61B1/00 , A61B1/045 , A61B1/32 , G06T7/00 , G06T7/11 , G06V20/50 , G06V40/16 , H04N23/60 , H04N23/611 , H04N23/667
CPC classification number: A61B1/24 , A61B1/00006 , A61B1/000096 , A61B1/045 , A61B1/32 , G06T7/0012 , G06T7/11 , G06V20/50 , G06V40/166 , G06V40/171 , H04N23/611 , H04N23/64 , H04N23/667 , G06T2207/20084 , G06T2207/20132 , G06T2207/30036 , G06T2207/30168 , G06V2201/034
Abstract: Various apparatuses are disclosed (e.g., system, device, method, or the like) for guiding the capture and assessing the quality of an image, including dental images. The apparatuses may use trained neural networks to examine images and provide users feedback regarding image quality. The neural networks may be trained based on images within image groups that have been ranked based on perceived image quality.
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公开(公告)号:US20240108436A1
公开(公告)日:2024-04-04
申请号:US18480483
申请日:2023-10-03
Applicant: Align Technology, Inc.
Inventor: Sergey GREBENKIN , Victoria BOGINA , Amarendra THUMMETI , Mitra DERAKHSHAN , Jeeyoung CHOI , Christopher E. CRAMER , Zalina NURMUKHAMETOVA , IIfat SABIROV
Abstract: Methods and apparatuses (e.g., system, including software) for processing dental workflows. In particular, described herein are methods and apparatuses for processing dental treatment plan for aligning a patient's teeth when a dental professional submits a patient-specific prescription for a series of dental aligners.
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27.
公开(公告)号:US20240029265A1
公开(公告)日:2024-01-25
申请号:US18305323
申请日:2023-04-21
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
CPC classification number: G06T7/11 , G06T7/0012 , G16H30/20 , G06N20/00 , G06T17/205 , G06T19/20 , G06N3/045 , G06T2207/20084 , G06T2207/30036 , G06T2207/20081 , G06T2210/41 , G06T2219/2012
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.
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公开(公告)号:US20220304775A1
公开(公告)日:2022-09-29
申请号:US17839461
申请日:2022-06-13
Applicant: Align Technology, Inc.
Inventor: Christopher E. CRAMER
Abstract: Provided herein are methods and apparatuses for analyzing a patient's dental arches in order to generate a treatment plan for the dentition. In particular described herein are methods and apparatuses for determining accurate standardized tooth numbering even when there are missing and/or supernumerary teeth.
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公开(公告)号:US20220023002A1
公开(公告)日:2022-01-27
申请号:US17443242
申请日:2021-07-22
Applicant: ALIGN TECHNOLOGY, INC.
Inventor: Christopher E. CRAMER , Rajiv VENKATA , Leela PARVATHANENI , Phillip Thomas HARRIS , Sravani GURIJALA , Svetozar HUBENOV , Sebastien HARENG , Guotu LI , Yun GAO , Chad Clayton BROWN
Abstract: A method of dental treatment may include receiving one or more photo parameters to define clinically acceptable criteria for a plurality of clinically relevant photos of a person's dentition. The clinically acceptable criteria may include at least a plurality of clinically acceptable positions and a plurality of clinically acceptable orientations of teeth relative to a camera. The method may also include gathering a plurality of image-capture rules to capture the plurality of clinically relevant photos. The plurality of image capture rules may be based on the one or more photo parameters. The method may also include providing first automated instructions to capture the plurality of clinically relevant photos of the person's dentition using the plurality of image-capture rules and capturing the plurality of clinically relevant photos with the camera in response to the first automated instructions.
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30.
公开(公告)号:US20210186659A1
公开(公告)日:2021-06-24
申请号:US17133225
申请日:2020-12-23
Applicant: Align Technology, Inc.
Inventor: Guotu LI , Christopher E. CRAMER
IPC: A61C7/00 , G06T17/20 , G06T19/20 , G06T7/13 , G06T7/11 , G06T7/00 , G16H50/50 , G16H30/40 , G16H20/40 , G06N3/04 , G06N3/08
Abstract: Provided herein are systems and methods for optimizing a 3D model of an individual's teeth. A 3D dental model may be reconstructed from 3D parameters. A differentiable renderer may be used to derive a 2D rendering of the individual's dentition. 2D image(s) of an individual's dentition may be obtained, and features may be extracted from the 2D image(s). Image loss between the 2D rendering and the 2D image(s) can be derived, and back-propagation from the image loss can be used to calculate gradients of the loss to optimize the 3D parameters. A machine learning model can also be trained to predict a 3D dental model from 2D images of an individual's dentition.
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