DENTAL APPLIANCE WITH CAVITY FOR AN UNERUPTED OR ERUPTING TOOTH

    公开(公告)号:US20200155275A1

    公开(公告)日:2020-05-21

    申请号:US16746735

    申请日:2020-01-17

    Abstract: A method includes to receive, via a computing device, data representing a plurality of teeth, identify data indicating which of the plurality of teeth are unerupted or erupting, predict at least one characteristic of a tooth of the unerupted or erupting teeth after they have fully erupted using one or more tooth eruption prediction factors, generate new data representing the unerupted or erupting teeth in multiple states of eruption based upon the predicted at least one characteristic of the fully erupted teeth, and generate a series of incremental tooth arrangements with the new data to define a proposed orthodontic treatment based on the new data representing the unerupted or erupting teeth in multiple states of eruption.

    ORTHODONTIC APPLIANCES INCLUDING AT LEAST PARTIALLY UN-ERUPTED TEETH AND METHOD OF FORMING THEM

    公开(公告)号:US20180284727A1

    公开(公告)日:2018-10-04

    申请号:US15942341

    申请日:2018-03-30

    Abstract: The example systems, methods, and/or computer-readable media described herein help with design of highly accurate models of un-erupted or partially erupted teeth and help fabricate of aligners for un-erupted or partially erupted teeth. Automated agents that use machine learning models to parametrically represent three-dimensional (3d) virtual representations of teeth as 3D descriptors in a 3D descriptor space are provided herein. In some implementations, the automated agents described herein provide instructions to fabricate aligners for at least partially un-erupted teeth using representative 3D descriptor(s) of a tooth type.

    AUTOMATIC DETECTION OF TOOTH TYPE AND ERUPTION STATUS

    公开(公告)号:US20180360567A1

    公开(公告)日:2018-12-20

    申请号:US16010087

    申请日:2018-06-15

    Abstract: Provided herein are systems and methods for detecting the eruption state (e.g., tooth type and/or eruption status) of a target tooth. A patient's dentition may be scanned and/or segmented. A target tooth may be identified. 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 detector can identify and/or output the eruption state of the target tooth, such as whether the target tooth is a fully erupted primary tooth, a permanent partially erupted/un-erupted tooth, or a fully erupted permanent tooth.

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