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公开(公告)号:US20230218371A1
公开(公告)日:2023-07-13
申请号:US17928022
申请日:2021-05-11
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor: Alexandra R. Cunliffe , Elisa J. Collins , Guruprasad Somasundaram , Nitsan Ben-Gal Nguyen , Benjamin D. Zimmer , Cody J. Olson
Abstract: Methods for generating multiple orthodontic treatment options for a digital 3D model of teeth in malocclusion. The method generates a plurality of different orthodontic treatment plans for the teeth and displays in a user interface the digital 3D model of teeth in malocclusion with a visual indication of each of the plurality of different orthodontic treatment plans. The visual indication of the treatment plans can be overlaid on the digital 3D model of teeth in malocclusion and possibly include aligners, brackets, or a combination of aligners and brackets. A doctor, technician, or other user can then select one of the treatment plans for a particular patient.
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公开(公告)号:US20230190409A1
公开(公告)日:2023-06-22
申请号:US17928761
申请日:2021-05-10
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor: Alexandra R. Cunliffe , Guruprasad Somasundaram , Elisa J. Collins , Nitsan Ben-Gal Nguyen , Benjamin D. Zimmer
IPC: A61C7/00
CPC classification number: A61C7/002 , A61C2007/004
Abstract: Methods for generating stages for a portion of orthodontic aligner treatment for a digital 3D model of teeth in malocclusion. The methods generate a subset of stages of setups among a complete set of stages of setups for aligner treatment of the teeth. The subset of stages can be selected from a complete set of stages, based upon a target intermediate setup, or sequentially generated from one stage to the next in the subset. Aligners for the subset of stages of setups can then be manufactured without having to make a complete set of aligners. A method to generate a setup for the aligner treatment compares the digital 3D model of teeth in malocclusion to a plurality of setups for historical cases of teeth in malocclusion that have undergone aligner treatment.
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公开(公告)号:US20220061959A1
公开(公告)日:2022-03-03
申请号:US17416818
申请日:2019-12-23
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor: Nitsan Ben-Gal Nguyen , Guruprasad Somasundaram , Alexandra R. Cunliffe , Vera Shuman , Elisa J. Collins
Abstract: Aspects of the present disclosure relate to methods, devices, and systems using speech recognition in a dental procedure. The method can include receiving, by a computing device, voice input data that specifies dental information for a patient. The method can also include analyzing, by the computing device, the voice input data to process the dental information. Based on the identified dental treatment information, the method can include generating, by the computing device, one or more custom dental prescriptions for the patient.
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公开(公告)号:US20230236017A1
公开(公告)日:2023-07-27
申请号:US18010455
申请日:2021-06-11
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor: Nicholas T. Gabriel , John M. Kruse , Gautam Singh , Brian J. Stankiewicz , Jason L. Aveldson , Glenn E. Casner , Elisa J. Collins , Samuel J. Fahey , Haleh Hagh-Shenas , Frank T. Herfort , Ronald D. Jesme , Steven G. Lucht , Carolyn L. Nye , Adam C. Nyland , Jacob E. Odom , Antonia E. Schaefer , Justin Tungjunyatham
CPC classification number: G01C21/206 , G01C21/383 , G01C21/3848 , G01S13/89 , G01S13/867 , G01J2005/0077
Abstract: The disclosure describes systems (2) of navigating a hazardous environment (8). The system includes personal protective equipment (PPE) (13) and computing device(s) (32) configured to process sensor data from the PPE (13), generate pose data of an agent (10) based on the processed sensor data, and track the pose data as the agent (10) moves through the hazardous environment (8). The PPE (13) may include an inertial measurement device to generate inertial data and a radar device to generate radar data for detecting a presence or arrangement of objects in a visually obscured environment (8). The PPE (13) may include a thermal image capture device to generate thermal image data for detecting and classifying thermal features of the hazardous environment (8). The PPE (13) may include one or more sensors to detect a fiducial marker (21) in a visually obscured environment (8) for identifying features in the visually obscured environment (8). In these ways, the systems (2) may more safely navigate the agent (10) through the hazardous environment (8).
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公开(公告)号:US20210259808A1
公开(公告)日:2021-08-26
申请号:US17261717
申请日:2019-07-29
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor: Nitsan Ben-Gal Nguyen , Benjamin D. Zimmer , Guruprasad Somasundaram , Alexandra R. Cunliffe , Brian J. Stankiewicz , Elisa J. Collins , David T. Maiden Mueller , Steven C. Demlow , Cody J. Olson , Muhammad J. Afridi , Nancy Amato , Shawna L. Thomas , Alexander Gutierrez , Arash Sangari , Jonathan D. Gandrud
Abstract: An automated method for generating a final setup for orthodontic treatment. The method includes receiving a digital 3D model of teeth in an initial state. The method computes a scoring function based upon metrics related to the initial state to generate a corresponding score, perturbs the state of the teeth through translations and rotations of a tooth or set of teeth to generate a perturbed state of the teeth, and updates the state of the teeth based upon the score and the perturbed state of the teeth to generate one or more final setups representing a final state of the teeth after the orthodontic treatment.
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公开(公告)号:US11631186B2
公开(公告)日:2023-04-18
申请号:US16634845
申请日:2018-07-25
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor: Muhammad J. Afridi , Elisa J. Collins , Jonathan D. Gandrud , James W. Howard , Arash Sangari , James B. Snyder
Abstract: Systems and methods for image recognition are provided. A style-transfer neural network is trained for each real image to obtain a trained style-transfer neural network. The texture or style features of the real images are transferred, via the trained style-transfer neural network, to a target image to generate styled images which are used for training an image-recognition machine learning model (e.g., a neural network). In some cases, the real images are clustered and representative style images are selected from the clusters.
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公开(公告)号:US20200219274A1
公开(公告)日:2020-07-09
申请号:US16634845
申请日:2018-07-25
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor: Muhammad J. Afridi , Elisa J. Collins , Jonathan D. Gandrud , James W. Howard , Arash Sangari , James B. Snyder
Abstract: Systems and methods for image recognition are provided. A style-transfer neural network is trained for each real image to obtain a trained style-transfer neural network. The texture or style features of the real images are transferred, via the trained style-transfer neural network, to a target image to generate styled images which are used for training an image-recognition machine learning N model (e.g., a neural network). In some cases, the real images are clustered and representative style images are selected from the clusters.
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