DENTAL APPLIANCE WITH CAVITY FOR AN UNERUPTED OR ERUPTING TOOTH

    公开(公告)号:US20250041026A1

    公开(公告)日:2025-02-06

    申请号:US18918016

    申请日:2024-10-16

    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.

    VIRTUALLY TESTING FORCE PLACED ON A TOOTH

    公开(公告)号:US20220384050A1

    公开(公告)日:2022-12-01

    申请号:US17880635

    申请日:2022-08-03

    Abstract: Embodiments of the present disclosure include computing device related, system, and method embodiments for virtually testing force placed on a tooth are described herein. One method embodiment includes receiving initial orthodontic data (IOD) of teeth, and receiving a desired position of a tooth contained in the IOD. The method embodiment can also include computing a desired force and torque to be applied to the tooth to reach the desired position, wherein the force and torque are applied using a dental attachment. The method embodiment can include virtually testing and adjusting the attachment iteratively to reach the desired force and torque, and displaying the force and torque applied to the tooth via a user interface.

    INDIVIDUALIZED ORTHODONTIC TREATMENT INDEX

    公开(公告)号:US20250000617A1

    公开(公告)日:2025-01-02

    申请号:US18827592

    申请日:2024-09-06

    Abstract: Embodiments are provided for using an individualized orthodontic treatment index. One method embodiment includes receiving an initial virtual dental model from a first scan of a patient's dentition, modifying the initial virtual dental model to create a target virtual dental model according to a treatment goal, assigning a number of dental references to the target virtual dental model, receiving a treatment outcome virtual dental model from a second scan of the patient's dentition, mapping the number of dental references from the target virtual dental model to a treatment outcome virtual dental model, and calculating an individualized treatment index score for the treatment outcome virtual dental model according to one or more differences between the target virtual dental model and the treatment outcome virtual dental model based on the number of dental references.

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