Auxiliary appliance adaptation method, device and equipment for orthodontic appliance and storage medium

Abstract

The invention belongs to the technical field of orthodontics, and relates to an auxiliary appliance adaptation method, device and equipment of an orthodontic appliance and a storage medium, and the method comprises the following steps: acquiring basic physiological information and oral cavity images of a target user and target orthodontic parameters of teeth of the target user; according to the oral cavity image and the target correction parameter, determining a movement vector of the teeth of the target user, the movement vector being a vector of the teeth of the target user moving to a position corresponding to the target correction parameter; determining the type of the auxiliary appliance according to the oral cavity image; inputting the target correction parameter, the type, the movement vector and the basic physiological information into a preset adaptation model, and outputting a target specification parameter of the auxiliary appliance according to the adaptation model, so that the adaptation process of the auxiliary appliance in the orthodontic process is more standardized, the adaptation precision and the wearing comfort are improved, and the orthodontic efficiency is improved. Therefore, the orthodontic effect is guaranteed.

Description

Technical Field

[0001] This application relates to the field of orthodontic technology, and in particular to an auxiliary appliance adaptation method, device, equipment and storage medium for orthodontic appliances. Background Technology

[0002] As people's demand for oral aesthetics and orthodontic comfort continues to increase, various orthodontic appliances that combine discreet appearance and ease of wear have become the mainstream choice in the field of orthodontics. The auxiliary appliances and external devices that accompany orthodontic appliances, as the main components for transmitting corrective forces and achieving tooth movement goals, have their fitting accuracy directly affecting orthodontic efficiency and results. Therefore, the clinical need for scientific matching of auxiliary appliance parameters is becoming increasingly urgent.

[0003] Currently, the selection and parameter determination of orthodontic appliances in the industry mainly rely on the clinical experience of orthodontists. This can easily lead to discrepancies between the appliance parameters and the patient's tooth condition and orthodontic goals, resulting in problems such as prolonged treatment periods and unsatisfactory results.

[0004] In view of the above, this application is hereby submitted. Summary of the Invention

[0005] The purpose of this application is to provide a method, device, equipment, and storage medium for adapting assistive devices to orthodontic appliances, so as to solve the technical problem of deviation in the adaptation of assistive devices to orthodontic appliances.

[0006] To address the aforementioned technical problems, this application provides an assistive device adaptation method for orthodontic appliances, employing the following technical solution: Acquire the target user's basic physiological information, oral cavity images, and target orthodontic parameters for the target user's teeth; Based on the oral image and the target orthodontic parameters, a movement vector for the target user's teeth is determined, wherein the movement vector is the vector by which the target user's teeth move to the position corresponding to the target orthodontic parameters; Based on the oral cavity image, determine the type of the assistive device; The target correction parameters, the type, the movement vector, and the basic physiological information are input into a preset adaptation model, and the target specification parameters of the assistive device are output according to the adaptation model.

[0007] Furthermore, the step of inputting the target correction parameters, the type, the movement vector, and the basic physiological information into a preset adaptation model, and outputting the target specification parameters of the assistive device according to the adaptation model, includes: Based on the type, the mechanical coefficients of the target user's teeth are determined using the adaptation model. The target orthodontic force for the target user's teeth is determined based on the target orthodontic parameters, the mechanical coefficients, the movement vector, and the basic physiological information. Based on the basic physiological information, the type, and the target corrective force, the target specification parameters of the assistive device are determined.

[0008] Furthermore, determining the target orthodontic force for the target user's teeth based on the target orthodontic parameters, the mechanical coefficients, the movement vector, and the basic physiological information includes: The basic physiological information is mapped to obtain the quality coefficient and periodontal health coefficient of the target user's teeth; Based on the movement vector, determine the target movement distance of the target user's teeth; The target orthodontic force is determined based on the target orthodontic parameters, the quality coefficient, the periodontal health coefficient, the target movement distance, and the mechanical coefficient.

[0009] Furthermore, determining the target specification parameters of the assistive device based on the basic physiological information, the type, and the target corrective force includes: Based on the type and the target corrective force, determine the initial specification parameters of the assistive device; Based on the basic physiological information, the initial specification parameters are adjusted to obtain the target specification parameters of the assistive device.

[0010] Furthermore, determining the movement vector of the target user's teeth based on the oral image and the target orthodontic parameters includes: Based on the oral cavity images, a three-dimensional coordinate system is established; Based on the oral cavity image and the three-dimensional coordinate system, determine the original coordinates of the target user's teeth; Based on the three-dimensional coordinate system, the target correction parameters are converted into target correction coordinates; The movement vector is determined based on the target corrected coordinates and the original coordinates.

[0011] Furthermore, determining the type of assistive device based on the oral image includes: Tooth feature data are extracted from the oral cavity image; From the preset orthodontic type library, obtain the orthodontic type that matches the tooth feature data; The type of assistive device is determined based on the type of orthodontic treatment.

[0012] Furthermore, the assistive device is a traction device, which includes a traction structure and a neck support structure. One end of the traction structure is connected to the orthodontic appliance, and the other end of the traction structure is connected to the neck support structure. The target specifications include a first connection position of the traction structure on the orthodontic appliance and a second connection position of the traction structure on the neck support structure. The step of inputting the target correction parameters, the type, the movement vector, and the basic physiological information into a preset adaptation model, and outputting the target specification parameters of the assistive device according to the adaptation model, includes: The first connection position is determined using the adaptation model based on the target correction parameters, the movement vector, and the basic physiological information. Based on the movement vector, determine the connection angle between the traction structure and the neck support structure; The second connection position is determined based on the connection angle.

[0013] To address the aforementioned technical problems, this application also provides an assistive device adapter for orthodontic appliances, employing the following technical solution: An assistive device adapter for orthodontic appliances, comprising: The acquisition module is used to acquire the target user's basic physiological information, oral cavity images, and target orthodontic parameters of the target user's teeth; The first determining module is used to determine the movement vector of the target user's teeth based on the oral image and the target orthodontic parameters, wherein the movement vector is the vector that moves the target user's teeth to the position corresponding to the target orthodontic parameters; The second determining module is used to determine the type of the assistive device based on the oral cavity image; The output module is used to input the target correction parameters, the type, the movement vector and the basic physiological information into a preset adaptation model, and output the target specification parameters of the assistive device according to the adaptation model.

[0014] To address the aforementioned technical problems, this application also provides a computer device that employs the following technical solution: A computer device includes a memory and a processor, the memory storing computer-readable instructions, wherein the processor, when executing the computer-readable instructions, implements the steps of the assistive device adaptation method for orthodontic appliances as described above.

[0015] To address the aforementioned technical problems, this application also provides a computer-readable storage medium, employing the technical solution described below: A computer-readable storage medium storing computer-readable instructions, which, when executed by a processor, implement the steps of the assistive device adaptation method for orthodontic appliances as described above.

[0016] Compared with the prior art, this application has the following main advantages: The orthodontic appliance fitting method disclosed in this application provides comprehensive and accurate raw data for subsequent appliance fitting by acquiring the target user's basic physiological information, oral images, and target orthodontic parameters, avoiding fitting deviations caused by missing key information. Based on the acquired oral images and target orthodontic parameters, the method determines tooth movement vectors, quantifying the direction and magnitude of tooth movement to ensure the appliance is specifically matched to tooth movement needs. By relying on actual scene information such as tooth arrangement structure and gingival state in the oral images, the method determines the appliance type, allowing the appliance selection to fit the user's specific orthodontic needs. By integrating the target orthodontic parameters, appliance type, movement vector, and basic physiological information through a pre-set fitting model, the method determines target specification parameters, achieving deep matching between appliance specifications and orthodontic goals and the user's individual conditions. This ensures the appliance effectively moves teeth to the target orthodontic position while also conforming to the user's arch size, tooth spacing, and other physiological characteristics, significantly improving the fitting accuracy and wearing comfort of the appliance, thereby guaranteeing the orthodontic effect. Attached Figure Description

[0017] To more clearly illustrate the solutions in this application, the accompanying drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is an exemplary system architecture diagram to which this application can be applied; Figure 2 This is a flowchart of one embodiment of the assistive device adaptation method for orthodontic appliances according to this application; Figure 3 This is a schematic diagram of a tooth and its attachments provided in an embodiment of this application; Figure 4 This is a schematic diagram of a traction device provided in an embodiment of this application; Figure 5 This is a schematic diagram of one embodiment of the assistive device adapter for orthodontic appliances according to this application; Figure 6 This is a schematic diagram of the structure of one embodiment of the computer device according to this application. Detailed Implementation

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein in the specification of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having," and any variations thereof, in the specification, claims, and foregoing drawings of this application are intended to cover non-exclusive inclusion. The terms "first," "second," etc., in the specification, claims, or foregoing drawings of this application are used to distinguish different objects, not to describe a particular order.

[0020] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0021] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

[0022] like Figure 1 As shown, the system architecture 100 may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired or wireless communication links, or fiber optic cables, etc.

[0023] Users can use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 via the network 104 to receive or send messages, etc. Various communication client applications can be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103, such as web browser applications, shopping applications, search applications, instant messaging tools, email clients, social platform software, etc.

[0024] The first terminal device 101, the second terminal device 102, and the third terminal device 103 can be various electronic devices with displays and support web browsing, including but not limited to smartphones, tablets, e-book readers, MP3 (Moving Picture Experts Group Audio Layer Ⅲ) players, MP4 (Moving Picture Experts Group Audio Layer IV) players, laptops, and desktop computers, etc.

[0025] Server 105 can be a server that provides various services, such as a backend server that supports the pages displayed on the first terminal device 101, the second terminal device 102, and the third terminal device 103.

[0026] It should be noted that the orthodontic appliance adaptation method provided in this application embodiment is generally executed by the server, and correspondingly, the orthodontic appliance adaptation device is generally set in the server.

[0027] It should be understood that Figure 1 The number of terminal devices, networks, and servers shown is merely illustrative. Depending on implementation needs, any number of terminal devices, networks, and servers can be included.

[0028] Continue to refer to Figure 2 The diagram illustrates a flowchart of an embodiment of the assistive device fitting method for orthodontic appliances according to this application. The assistive device fitting method for orthodontic appliances includes the following steps: Step S201: Obtain the target user's basic physiological information, oral cavity image, and target orthodontic parameters of the target user's teeth.

[0029] In this embodiment, the assistive device adaptation method for orthodontic appliances operates on electronic devices (e.g., Figure 1 The server shown can send or receive data via wired or wireless connections. It should be noted that the aforementioned wireless connection methods may include, but are not limited to, 3G / 4G / 5G connections, Wi-Fi connections, Bluetooth connections, WiMAX connections, Zigbee connections, UWB (ultra-wide band) connections, and other currently known or future-developed wireless connection methods.

[0030] In this embodiment, basic physiological information includes the target user's age, gender, degree of dental development, and oral health information, such as dental and periodontal health status, and orthodontic history; this can be obtained through consultation and clinical examination. Oral images include intraoral scans for quantifying tooth morphology and position; cone-beam computed tomography (CBCT) images for assessing the relationship between the jawbone and tooth roots; and high-resolution clinical photographs, including occlusal, lateral, and buccal views, for assessing occlusion and profile. Target orthodontic parameters are determined by the dentist's diagnostic analysis of the desired orthodontic outcome, including arch width adjustment targets, anterior tooth retraction targets, occlusal relationship targets, and treatment duration targets.

[0031] Step S202: Based on the oral image and the target orthodontic parameters, determine the movement vector of the target user's teeth, whereby the movement vector is the vector that moves the target user's teeth to the position corresponding to the target orthodontic parameters.

[0032] In this embodiment, the current spatial position information of the teeth is extracted from oral images. Combined with the final position requirement that the tooth needs to achieve in the target orthodontic parameters, the correlation between the current position and the target position of the tooth is obtained. For each target tooth, based on the above correspondence, the movement vector from its current position to the target position is determined.

[0033] For example, the current protrusion of the tooth is 2mm as observed from the oral image. The target orthodontic parameters require the anterior teeth to retract by 2mm, and at the same time, the overbite depth of the anterior teeth needs to be reduced by 1.5mm. Therefore, the movement vector of the tooth is determined to be a 2mm backward movement along the front-back direction, and a simultaneous downward movement along the up-down direction.

[0034] Step S203: Determine the type of assistive device based on the oral cavity image.

[0035] In this embodiment, the type of orthodontic treatment required by the user can be determined through oral images of the target user. For example, intraoral scans, CBCT images, and high-resolution clinical photographs can be used to determine if the user's orthodontic needs include narrow dental arches requiring expansion of the arch width and protruding anterior teeth requiring posterior traction and retraction. This determines the type of assistive device, which is related to the orthodontic needs. For instance, narrow dental arches require arch expansion, and assistive devices with lateral rigidity support can be selected. These devices can transmit lateral forces through physical structures to expand the dental arch. Appropriate wires can be used to connect to the outside of the orthodontic appliance, conforming to the outer arc surface of the appliance, and the rigidity of the wires enhances the lateral strength of the braces. As another example, for users with protruding anterior teeth and lip-biting habits, wavy wires can be placed in the area of ​​the anterior teeth. After wearing, the wavy wires are positioned between the teeth and lips, supporting the lips through surface contact. The lips receive forward support, which in turn applies backward pressure to the dental arch, achieving the purpose of orthodontic correction.

[0036] Step S204: Input the target correction parameters, the type, the movement vector and the basic physiological information into a preset adaptation model, and output the target specification parameters of the assistive device according to the adaptation model.

[0037] In this embodiment, the preset adaptation model can be a model derived from a quantification formula, a machine learning regression model, or an attention mechanism model. The target specifications of the assistive device can be a long steel wire used for arch expansion, wherein the length, thickness, material, and fixation to a particular tooth of the steel wire can be determined according to the user's orthodontic needs; it can also be a wavy steel wire, which can be used to improve mandibular protrusion and correct lip biting habits; it can also be a hooked steel wire of a certain shape, equipped with a rubber band with a certain degree of elasticity for forward traction, etc.

[0038] For example, if the assistive device is determined to be a long wire, then the corresponding orthodontic type is arch expansion correction. The fitting model, based on the arch expansion distance in the movement vector, the arch expansion requirements included in the target orthodontic parameters (such as the treatment cycle), and combined with basic physiological information such as the user's buccal space constraints and age, determines that the wire must have sufficient lateral rigidity and be compatible with the oral cavity space. This allows for the determination of parameters such as wire thickness and elasticity coefficient, ensuring a stable provision of arch expansion force to drive teeth to move along the vector.

[0039] This application, by acquiring the target user's basic physiological information, oral images, and target orthodontic parameters, provides comprehensive and accurate raw data for subsequent assistive device adaptation, avoiding adaptation deviations caused by missing key information. Based on the acquired oral images and target orthodontic parameters, it determines tooth movement vectors, quantifying the direction and magnitude of tooth movement to ensure the device is specifically matched to the tooth movement needs. By relying on real-world information such as tooth arrangement and gingival condition in the oral images to determine the assistive device type, it ensures the device selection aligns with the user's specific orthodontic needs. By integrating the target orthodontic parameters, device type, movement vectors, and basic physiological information through a pre-set adaptation model to determine target specification parameters, it achieves deep matching between device specifications and orthodontic goals and the user's individual conditions. This ensures the device effectively moves teeth to the target orthodontic position while also conforming to the user's arch size, tooth spacing, and other physiological characteristics, significantly improving the adaptation accuracy and wearing comfort of the assistive device, thereby guaranteeing the orthodontic effect.

[0040] In some optional implementations of this embodiment, the step of inputting the target correction parameters, the type, the movement vector, and the basic physiological information into a preset adaptation model, and outputting the target specification parameters of the assistive device according to the adaptation model includes: Based on the type, the mechanical coefficients of the target user's teeth are determined using the adaptation model. The target orthodontic force for the target user's teeth is determined based on the target orthodontic parameters, the mechanical coefficients, the movement vector, and the basic physiological information. Based on the basic physiological information, the type, and the target corrective force, the target specification parameters of the assistive device are determined.

[0041] In this embodiment, the mechanical coefficient of the target user's teeth reflects the bioresistance characteristics of tooth movement. These resistance characteristics are determined by both the inherent bioresistance of the teeth and the force transmission characteristics of the assistive device. After training, the adaptation model can locate the tooth regions requiring connection based on the type of assistive device, thereby determining the mechanical coefficient. Figure 3 As shown, for the type of long steel wire, and Figure 3 Connecting to tooth #6, which is a posterior tooth and requires higher movement resistance, the mechanical coefficient C is determined to be 150; for the S-shaped traction hook, it is connected to... Figure 3Connected to tooth #3, which is an anterior tooth, it requires lower movement resistance; therefore, the corresponding mechanical coefficient C can be 120. Next, based on the required treatment period in the target orthodontic parameters, combined with the movement vector, mechanical coefficient, and the user's basic physiological parameters regarding dental health, the target orthodontic force can be calculated. Finally, by integrating basic physiological information, including age, oral space, dental health, type of assistive device, and the target orthodontic force, the appropriate target specifications are derived. For example, to meet the rigidity requirements of arch expansion force and the installation constraints of buccal space, parameters such as the required wire thickness and elasticity coefficient are determined.

[0042] This application uses an adaptation model to determine the biomechanical coefficients of the assistive device's bioresistance and force transmission characteristics based on the type of assistive device. It then combines multi-dimensional information to calculate the target orthodontic force, ultimately deriving specifications tailored to the user's basic physiological condition. This avoids inappropriate force and parameters, reduces reliance on experience, and improves the adaptability of assistive devices and the safety of orthodontic treatment.

[0043] In some optional implementations of this embodiment, the step of determining the target orthodontic force for the target user's teeth based on the target orthodontic parameters, the mechanical coefficients, the movement vector, and the basic physiological information includes: The basic physiological information is mapped to obtain the quality coefficient and periodontal health coefficient of the target user's teeth; Based on the movement vector, determine the target movement distance of the target user's teeth; The target orthodontic force is determined based on the target orthodontic parameters, the quality coefficient, the periodontal health coefficient, the target movement distance, and the mechanical coefficient.

[0044] In this embodiment, the target orthodontic force refers to the appropriate force required to propel the target user's teeth to the expected orthodontic state within a specified time according to a preset movement vector. This force must balance the tooth movement requirements with the physiological tolerance of the teeth and periodontium, ensuring sufficient force to complete the target movement while avoiding excessive force that could damage the teeth or periodontium. Specifically, the mapping relationship between basic physiological relationships and coefficients can be obtained from the trained adaptation model, converting the user's oral health status into quantitative coefficients. For example, regarding the tooth quality coefficient, based on the healthy and caries-free nature of tooth #6, the mapping is a quality coefficient K1=1.0, indicating normal bioresistance and no need to weaken the force. Based on slight demineralization of tooth #3, the mapping is a quality coefficient K2=0.9, indicating that the demineralized tooth needs reduced force to avoid damaging the tooth structure. Regarding the periodontal health coefficient, for all teeth without inflammation or atrophy, the mapping is a uniform periodontal health coefficient P=1.0, indicating sufficient periodontal support and no need for additional force transmission efficiency adjustments. Next, the model extracts the specific amplitude of tooth movement required from the movement vector, i.e., the absolute value of the vector component, as the basis for calculating the movement requirement. For example, if the movement vector is 1.5mm along the Y-axis, after removing the direction information, the target movement distance D1 = 1.5mm is determined. Finally, the required correction period is extracted from the target orthodontic parameters, and the target orthodontic force F can be determined according to the formula: Target Movement Distance D × Tooth Quality Coefficient K × Periodontal Health Coefficient P × Biomechanical Coefficient C) ÷ Correction Period T.

[0045] This application quantifies basic physiological information into quality coefficients and periodontal health coefficients, extracts the target movement distance from the movement vector, and then integrates multi-dimensional parameters to calculate the target orthodontic force. This avoids force deviations caused by generalized information, making the force more suitable for individual oral conditions and reducing the risk of tooth damage or delayed orthodontic treatment.

[0046] In some optional implementations of this embodiment, the step of determining the target specification parameters of the assistive device based on the basic physiological information, the type, and the target correction force includes: Based on the type and the target corrective force, determine the initial specification parameters of the assistive device; Based on the basic physiological information, the initial specification parameters are adjusted to obtain the target specification parameters of the assistive device.

[0047] In this embodiment, different correction types correspond to different types of assistive devices. Each type has default basic specifications, which can be adjusted based on the target correction force to achieve the corresponding correction effect. Specifically, there is a mapping relationship between the mechanical properties of the assistive device and the required correction force. For example, based on the target correction force F1=250g and the rigidity transmission characteristics of the long steel wire, the initial thickness d1 of the long steel wire can be obtained through the mapping formula: d1=√[F1÷(elastic coefficient reference value K0×length coefficient L0)]+basic thickness 0.6mm, where K0 can be 20 and L0 can be 1.2. This calculates to an initial parameter of 0.85mm for the steel wire and 14.45N / m for the elastic coefficient. The target correction force F1=250g means the equivalent Newton force for an object with a mass of 250, which can also be converted to 250g multiplied by 9.8N / kg, equaling 2.45N. By combining the user's basic physiological information with personalized adjustments to the initial parameters, the problem of mismatch between the initial parameters and the patient's actual oral condition can be solved. For example, considering the user's 9mm constraint on the width of the buccal space on both sides (the initial thickness of 0.85mm provides a suitable space with no risk of compression, requiring no adjustment, and the initial parameter can be directly used as the target specification parameter). Another example is the S-shaped traction hook; the user's right third molar has slight demineralization, requiring an increased force-bearing area to avoid localized pressure, so the bending angle of the traction hook can be adjusted from 15° to 17°. Furthermore, considering the high oral sensitivity of a 14-year-old permanent dentition patient, the hook length needs to be increased to distribute the force, so the hook length can be slightly adjusted from 9.2mm to 9.4mm. The rubber band elasticity of 240g is used to adapt to the required force, thus obtaining the target specification parameter.

[0048] This application determines the initial specifications by matching the type of assistive device with the target orthodontic force, ensuring a basic fit between the parameters and the force transmission. Then, it adjusts the initial parameters based on basic physiological information to address the mismatch between general parameters and individual oral conditions. This ensures stable transmission of orthodontic force while avoiding oral discomfort or tooth damage caused by improper fitting, thus improving the accuracy of assistive device fitting and the safety of orthodontic treatment.

[0049] In some optional implementations of this embodiment, the step of determining the movement vector of the target user's teeth based on the oral image and the target orthodontic parameters includes: Based on the oral cavity images, a three-dimensional coordinate system is established; Based on the oral cavity image and the three-dimensional coordinate system, determine the original coordinates of the target user's teeth; Based on the three-dimensional coordinate system, the target correction parameters are converted into target correction coordinates; The movement vector is determined based on the target corrected coordinates and the original coordinates.

[0050] In this embodiment, the location of the center point of the zygomatic process of the maxilla can be determined based on the CBCT image in the oral cavity image. This location is on the lateral side of the maxilla, has no tooth movement association, and is highly stable. It is set as the origin O (0,0,0). A three-dimensional coordinate system is established based on this origin. The X-axis is along the facial midline, with forward being positive (corresponding to tooth protrusion) and backward being negative (corresponding to tooth retraction); the Y-axis is perpendicular to the facial midline, with rightward being positive (corresponding to right-side arch expansion) and leftward being negative (corresponding to left-side arch expansion); the Z-axis is perpendicular to the occlusal plane, with upward being positive (corresponding to tooth elevation) and downward being negative (corresponding to tooth intrusion). Next, feature points of the target tooth, such as the center point of the crown, are extracted from the oral cavity image. These represent the overall position of the tooth and are mapped to the established three-dimensional coordinate system to obtain the original coordinates. Specific orthodontic parameters, such as arch expansion and retraction, are then converted into specific target orthodontic coordinates according to the coordinate system axes, i.e., the final position coordinates that the tooth needs to reach. The final movement vector is the difference between the target corrected coordinates and the original coordinates, i.e., vector V = (ΔX, ΔY, ΔZ).

[0051] This application establishes a three-dimensional coordinate system using oral images, then determines the original coordinates of the teeth and transforms the target orthodontic parameters into target orthodontic coordinates, ultimately deriving the movement vector. This quantifies abstract orthodontic needs into spatial vectors, avoiding directional or distance deviations and providing a reliable benchmark for subsequent calculations of target orthodontic force and fitting of assistive devices, effectively improving orthodontic accuracy.

[0052] In some optional implementations of this embodiment, the step of determining the type of assistive device based on the oral image includes: Tooth feature data are extracted from the oral cavity image; From the preset orthodontic type library, obtain the orthodontic type that matches the tooth feature data; The type of assistive device is determined based on the type of orthodontic treatment.

[0053] In this embodiment, morphological features such as arch width, crown height, and tooth density are first extracted from intraoral scan images using convolutional and pooling layers. Structural features such as root stability, arch curvature, and buccal space width are extracted from CBCT images. Appearance features such as anterior overbite depth, labial inclination angle, and occlusal relationship are also extracted from clinical images. This process utilizes a Convolutional Neural Network (CNN) for feature extraction, obtaining tooth feature data, which is then quantified to obtain feature vectors. Next, the matching probability between the feature vectors and various orthodontic types is calculated, filtering out orthodontic types with acceptable probabilities while excluding low-probability types. This determines the appropriate orthodontic type for the target user; this type can be one or more. Finally, the determined orthodontic type is input into a trained appliance type matching model to identify the main needs within the orthodontic type, and then the corresponding assistive appliance type is matched based on these main needs. If multiple orthodontic types are matched with multiple assistive devices, the compatibility of each device type needs to be further verified. For example, if there is no compatibility conflict between the stainless steel wire required for arch expansion and the wavy wire required for mandibular protrusion, they can be combined for orthodontic treatment.

[0054] In addition, users can directly search for a specific correction type under a given feature by using a preset feature-correction type association library, and then search for the type of assistive device for that correction type in the correction type-assistive device association library.

[0055] This application automatically extracts multi-dimensional tooth features from oral images, avoiding the bias of manual measurement and ensuring accurate feature data. It then combines this with a pre-set orthodontic type library to match the appropriate orthodontic type, and finally matches assistive devices according to the orthodontic type and verifies the compatibility of multiple devices. This effectively improves the accuracy and efficiency of device type determination, providing a reliable basis for subsequent orthodontic treatment.

[0056] In some optional implementations of this embodiment, the assistive device is a traction device, which includes a traction structure and a neck support structure. One end of the traction structure is connected to the orthodontic appliance, and the other end of the traction structure is connected to the neck support structure. The target specification parameters include a first connection position of the traction structure on the orthodontic appliance and a second connection position of the traction structure on the neck support structure. The steps described above, which involve inputting the target correction parameters, the type, the movement vector, and the basic physiological information into a preset adaptation model and outputting the target specification parameters of the assistive device based on the adaptation model, include: The step of inputting the target correction parameters, the type, the movement vector, and the basic physiological information into a preset adaptation model, and outputting the target specification parameters of the assistive device according to the adaptation model, includes: The first connection position is determined using the adaptation model based on the target correction parameters, the movement vector, and the basic physiological information. Based on the movement vector, determine the connection angle between the traction structure and the neck support structure; The second connection position is determined based on the connection angle.

[0057] In this embodiment, the traction device can achieve multi-directional traction, such as depressing the mandibular teeth and solving open bite problems. It includes a traction structure and a neck support structure, such as... Figure 4 As shown, 41 is the orthodontic appliance, 42-45 are multiple sets of buckles on the neck support structure 46 adapted to different stress points, and 47 is the hook in the traction structure connected to the orthodontic appliance 41. The traction structure includes the hook 47 and the rubber band connected to the buckle. The neck support structure 46 includes buckles 42, 43, 44, and 45, and also includes an adjustable neck brace. Specifically, the current assistive device type has been determined to be a traction device, and its device is as follows: Figure 4 As shown; the target orthodontic parameters are to indent the mandibular teeth and move the molars posteriorly to enhance anchorage, with a treatment period of 4 months; the movement vector is the movement of the mandibular 6th molar along the negative Z-axis (downward) and the negative X-axis (backward) (V=(ΔX,0mm,ΔZ)), with the mandibular anterior teeth indented through the force transmission of the extraoral arch; the basic physiological information is that the patient is a 14-year-old permanent dentition patient, the mandibular 6th molar has fully erupted without caries, the tooth root is stable, the mandibular buccal space is compatible with the extraoral arch attachments, the cervical circumference is 32cm, and the temporomandibular joint is normal. Then, using the model, according to the requirement of mandibular indentation single tooth position adaptation, the core anchorage tooth in the posterior tooth region, the tooth position with high force transmission efficiency, and the tooth position that is compatible with the rigid force transmission of the extraoral arch are selected first. The mandibular 6th molar is the core of the posterior teeth, and the mandibular anterior teeth can be indented through the traction of the extraoral arch, which is determined as the unique first connection position. Next, considering the vector requirements for downward depressurization and posterior anchorage, and the rigid force transmission characteristics of the extraoral arch, the angle is determined. Specifically, a single traction angle is needed to simultaneously provide a vertical downward force (depressing the mandibular anterior teeth and molars) and a horizontal posterior force (pushing the molars backward), while avoiding pressure on the temporomandibular joint. The vertical force satisfies the tooth depressurization requirement, the horizontal force adapts to the molar posterior movement, and the angle conforms to the mandibular contour, avoiding friction of the rigid wire against the mandibular skin. The connection angle is determined to be a 20° downward angle between the traction structure and the mandibular occlusal plane. Based on the connection angle and the physiological structure of the neck, the model selects suitable points for the neck support structure. These points must meet the requirement of a 20° downward angle with the line connecting the first connection point to ensure accurate force transmission; located in the upper part of the side of the neck brace (distributing force and avoiding compression of neck blood vessels and trachea); symmetrically set on both sides (ensuring balanced force on the mandibular teeth and avoiding midline shift); the second connection point is determined to be the position of buckle 43, which is the second connection point.

[0058] In addition, the specifications may also include the material, thickness, and elasticity of the traction wire and the matching skin loop; the material, thickness, and elasticity of the traction wire and the matching skin loop are determined specifically by using the fitting model in the above embodiments, determining the mechanical coefficient of the target user's teeth according to the type; determining the target orthodontic force of the target user's teeth according to the target orthodontic parameters, the mechanical coefficient, the movement vector, and the basic physiological information; and determining the target specifications of the assistive device according to the basic physiological information, the type, and the target orthodontic force.

[0059] This application determines the connection position and angle of the traction device through an adaptation model, so that the first connection position conforms to the user's physiological conditions and realizes multi-directional traction function. It can both lower the mandibular teeth and solve the open bite problem, and push the molars backward to enhance anchorage. Simultaneously, it adapts the parameters of the traction components to take into account the orthodontic effect and experience, and improve the accuracy, adaptability and safety of the orthodontic treatment.

[0060] The embodiments of this application can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence (AI) refers to the theories, methods, technologies, and application systems that use digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0061] Foundational technologies for artificial intelligence generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing, operating / interactive systems, and mechatronics. AI software technologies mainly encompass computer vision, robotics, biometrics, speech processing, natural language processing, and machine learning / deep learning.

[0062] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing related hardware through computer-readable instructions. These computer-readable instructions can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. The aforementioned storage medium can be a non-volatile storage medium such as a magnetic disk, optical disk, or read-only memory (ROM), or random access memory (RAM).

[0063] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0064] Further reference Figure 5 As a response to the above Figure 2 The present application provides an embodiment of an assistive device adapter for orthodontic appliances, which is similar to the method shown. Figure 2 Corresponding to the method embodiments shown, this device can be specifically applied to various electronic devices.

[0065] like Figure 5 As shown, the orthodontic appliance adapter 500 described in this embodiment includes: an acquisition module 501, a first determination module 502, a second determination module 503, and an output module 504. Wherein: The acquisition module 501 is used to acquire the target user's basic physiological information, oral cavity image, and target orthodontic parameters of the target user's teeth; The first determining module 502 is used to determine the movement vector of the target user's teeth based on the oral image and the target orthodontic parameters, wherein the movement vector is the vector that moves the target user's teeth to the position corresponding to the target orthodontic parameters; The second determining module 503 is used to determine the type of the assistive device based on the oral cavity image; The output module 504 is used to input the target correction parameters, the type, the movement vector and the basic physiological information into a preset adaptation model, and output the target specification parameters of the assistive device according to the adaptation model.

[0066] The orthodontic appliance fitting device provided in this application acquires the target user's basic physiological information, oral images, and target orthodontic parameters, providing comprehensive and accurate raw data for subsequent appliance fitting and avoiding fitting deviations caused by missing key information. Based on the acquired oral images and target orthodontic parameters, it determines the tooth movement vector, quantifying the direction and magnitude of tooth movement to ensure the appliance is specifically matched to the tooth movement needs. By relying on actual scene information such as tooth arrangement structure and gingival state in the oral images, it determines the appliance type, allowing the appliance selection to fit the user's specific orthodontic needs. By integrating the target orthodontic parameters, appliance type, movement vector, and basic physiological information through a preset fitting model, it determines the target specification parameters, achieving deep matching between appliance specifications and orthodontic goals and the user's individual conditions. This ensures that the appliance effectively moves the teeth to the target orthodontic position while also conforming to the user's arch size, tooth spacing, and other physiological characteristics, significantly improving the fitting accuracy and wearing comfort of the appliance, thereby guaranteeing the orthodontic effect.

[0067] In some optional implementations of this embodiment, the output module 504 is further configured to: Based on the type, the mechanical coefficients of the target user's teeth are determined using the adaptation model. The target orthodontic force for the target user's teeth is determined based on the target orthodontic parameters, the mechanical coefficients, the movement vector, and the basic physiological information. Based on the basic physiological information, the type, and the target corrective force, the target specification parameters of the assistive device are determined.

[0068] The orthodontic appliance fitting device provided in this application determines the mechanical coefficients of bioresistance to teeth and force transmission characteristics of the appliance based on the type of appliance using a fitting model. It then calculates the target corrective force by combining multi-dimensional information, ultimately deriving the specifications to fit the user's basic physiological condition. This avoids inappropriate force and parameters, reduces reliance on experience, and improves the fit of the appliance and the safety of orthodontic treatment.

[0069] In some optional implementations of this embodiment, the output module 504 is further configured to: The basic physiological information is mapped to obtain the quality coefficient and periodontal health coefficient of the target user's teeth; Based on the movement vector, determine the target movement distance of the target user's teeth; The target orthodontic force is determined based on the target orthodontic parameters, the quality coefficient, the periodontal health coefficient, the target movement distance, and the mechanical coefficient.

[0070] The orthodontic appliance adapter provided in this application quantifies basic physiological information into a quality coefficient and a periodontal health coefficient, extracts the target movement distance from the movement vector, and then integrates multi-dimensional parameters to calculate the target orthodontic force. This avoids force deviation caused by general information, makes the force more suitable for individual oral conditions, and reduces the risk of tooth damage or orthodontic delay.

[0071] In some optional implementations of this embodiment, the output module 504 is further configured to: Based on the type and the target corrective force, determine the initial specification parameters of the assistive device; Based on the basic physiological information, the initial specification parameters are adjusted to obtain the target specification parameters of the assistive device.

[0072] The orthodontic appliance fitting device provided in this application determines the initial specification parameters based on the type of appliance and the target corrective force, ensuring a basic fit between the parameters and the force transmission. It then adjusts the initial parameters based on basic physiological information to resolve the mismatch between general parameters and individual oral conditions. This ensures stable transmission of corrective force while avoiding oral discomfort or tooth damage caused by improper fitting, thus improving the accuracy of appliance fitting and the safety of orthodontic treatment.

[0073] In some optional implementations of this embodiment, the first determining module 502 is further configured to: Based on the oral cavity images, a three-dimensional coordinate system is established; Based on the oral cavity image and the three-dimensional coordinate system, determine the original coordinates of the target user's teeth; Based on the three-dimensional coordinate system, the target correction parameters are converted into target correction coordinates; The movement vector is determined based on the target corrected coordinates and the original coordinates.

[0074] The orthodontic appliance fitting device provided in this application establishes a three-dimensional coordinate system using oral images, determines the original coordinates of the teeth, and transforms the target orthodontic parameters into target orthodontic coordinates, ultimately deriving the movement vector. This quantifies abstract orthodontic needs into spatial vectors, avoiding directional or distance deviations and providing a reliable benchmark for subsequent calculation of target orthodontic force and appliance fitting, effectively improving orthodontic accuracy.

[0075] In some optional implementations of this embodiment, the second determining module 503 is further configured to: Tooth feature data are extracted from the oral cavity image; From the preset orthodontic type library, obtain the orthodontic type that matches the tooth feature data; The type of assistive device is determined based on the type of orthodontic treatment.

[0076] The orthodontic appliance fitting device provided in this application automatically extracts multi-dimensional tooth features from oral images, avoiding human measurement bias and ensuring accurate feature data. It then combines this with a pre-set orthodontic type library to match the appropriate orthodontic type, and finally matches the assistive appliance according to the orthodontic type and verifies the compatibility of multiple appliances. This effectively improves the accuracy and efficiency of appliance type determination, providing a reliable fitting basis for subsequent orthodontic treatment.

[0077] In some optional implementations of this embodiment, the output module 504 is further configured to: The first connection position is determined using the adaptation model based on the target correction parameters, the movement vector, and the basic physiological information. Based on the movement vector, determine the connection angle between the traction structure and the neck support structure; The second connection position is determined based on the connection angle.

[0078] The orthodontic appliance adapter provided in this application determines the connection position and angle of the traction appliance through an adapter model. This ensures that the first connection position conforms to the user's physiological conditions, enabling multi-directional traction. It can both depress the mandibular teeth and solve open bite problems, and push the molars backward to enhance anchorage. Simultaneously, it adapts the parameters of the traction components, taking into account both the orthodontic effect and the user's experience, thereby improving the accuracy, adaptability, and safety of the orthodontic treatment.

[0079] To address the aforementioned technical problems, embodiments of this application also provide a computer device. Please refer to [link / reference needed]. Figure 6 , Figure 6 This is a basic structural block diagram of the computer device in this embodiment.

[0080] The computer device 6 includes a memory 61, a processor 62, and a network interface 63 that are interconnected via a system bus. It should be noted that only the computer device 6 with components 61, 62, and 63 is shown in the figure; however, it should be understood that it is not required to implement all the shown components, and more or fewer components can be implemented alternatively. Those skilled in the art will understand that the computer device described here is a device capable of automatically performing numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes, but is not limited to, microprocessors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, etc.

[0081] The computer device can be a desktop computer, laptop, handheld computer, or cloud server, etc. The computer device can interact with the user via a keyboard, mouse, remote control, touchpad, or voice control.

[0082] The memory 61 includes at least one type of readable storage medium, including flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 61 may be an internal storage unit of the computer device 6, such as the hard disk or memory of the computer device 6. In other embodiments, the memory 61 may also be an external storage device of the computer device 6, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the computer device 6. Of course, the memory 61 may also include both the internal storage unit and its external storage device of the computer device 6. In this embodiment, the memory 61 is typically used to store the operating system and various application software installed on the computer device 6, such as computer-readable instructions for orthodontic appliance fitting methods. In addition, the memory 61 can also be used to temporarily store various types of data that have been output or will be output.

[0083] In some embodiments, the processor 62 may be a central processing unit (CPU), controller, microcontroller, microprocessor, or other data processing chip. The processor 62 is typically used to control the overall operation of the computer device 6. In this embodiment, the processor 62 is used to execute computer-readable instructions stored in the memory 61 or to process data, such as computer-readable instructions for executing the assistive device fitting method for the orthodontic appliance.

[0084] The network interface 63 may include a wireless network interface or a wired network interface, which is typically used to establish communication connections between the computer device 6 and other electronic devices.

[0085] The computer equipment provided in this application, by acquiring the target user's basic physiological information, oral images, and target orthodontic parameters, can provide comprehensive and accurate raw data for subsequent assistive device adaptation, avoiding adaptation deviations caused by missing key information; based on the acquired oral images and target orthodontic parameters, it determines the tooth movement vector, which can quantify the direction and magnitude of tooth movement, ensuring that the device can specifically match the tooth movement needs; relying on the actual scene information such as tooth arrangement structure and gingival state in the oral images to determine the assistive device type, it can ensure that the device type selection fits the user's specific orthodontic needs; by integrating the target orthodontic parameters, device type, movement vector, and basic physiological information through a preset adaptation model to determine the target specification parameters, it can achieve deep matching between device specifications and orthodontic goals and individual user conditions, ensuring that the device can effectively push the teeth to the orthodontic target position, and also conforming to the user's dental arch size, tooth spacing, and other physiological characteristics, greatly improving the adaptation accuracy and wearing comfort of the assistive device, thereby ensuring the orthodontic effect.

[0086] This application also provides another embodiment, namely, providing a computer-readable storage medium storing computer-readable instructions that can be executed by at least one processor to cause the at least one processor to perform the steps of the assistive device adaptation method for orthodontic appliances as described above.

[0087] The computer-readable storage medium provided in this application, by acquiring the target user's basic physiological information, oral images, and target orthodontic parameters, can provide comprehensive and accurate raw data for subsequent assistive device adaptation, avoiding adaptation deviations caused by missing key information; based on the acquired oral images and target orthodontic parameters, it determines the tooth movement vector, which can quantify the direction and magnitude of tooth movement, ensuring that the device can specifically match the tooth movement needs; relying on the actual scene information such as tooth arrangement structure and gingival state in the oral images to determine the assistive device type, it can ensure that the device type selection fits the user's specific orthodontic needs; by integrating the target orthodontic parameters, device type, movement vector, and basic physiological information through a preset adaptation model to determine the target specification parameters, it can achieve deep matching between device specifications and orthodontic goals and individual user conditions, ensuring that the device can effectively push the teeth to the orthodontic target position, while also conforming to the user's dental arch size, tooth spacing, and other physiological characteristics, greatly improving the adaptation accuracy and wearing comfort of the assistive device, thereby ensuring the orthodontic effect.

[0088] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0089] Obviously, the embodiments described above are only some embodiments of this application, not all embodiments. The accompanying drawings show preferred embodiments of this application, but do not limit the patent scope of this application. This application can be implemented in many different forms; rather, these embodiments are provided to provide a more thorough and comprehensive understanding of the disclosure of this application. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing specific embodiments, or make equivalent substitutions for some of the technical features. Any equivalent structures made using the content of this application's specification and drawings, directly or indirectly applied to other related technical fields, are similarly within the scope of patent protection of this application.

Claims

1. An orthodontic appliance auxiliary tool fitting method characterized by, The auxiliary appliance is used for cooperating with the orthodontic corrector for correction, and the method comprises: obtaining basic physiological information of a target user, an oral image and a target correction parameter of teeth of the target user; determining a movement vector of the teeth of the target user according to the oral image and the target correction parameter, the movement vector being a vector of the teeth of the target user moving to a position corresponding to the target correction parameter; determining a type of the auxiliary appliance according to the oral image; inputting the target correction parameter, the type, the movement vector and the basic physiological information into a preset fitting model, and outputting a target specification parameter of the auxiliary appliance according to the fitting model.

2. The method of claim 1, wherein the method further comprises: The target correction parameter, the type, the movement vector and the basic physiological information are inputted into a preset fitting model, and a target specification parameter of the auxiliary appliance is outputted according to the fitting model, which comprises: determining a mechanical coefficient of the teeth of the target user according to the type through the fitting model; determining a target correction force of the teeth of the target user according to the target correction parameter, the mechanical coefficient, the movement vector and the basic physiological information; determining a target specification parameter of the auxiliary appliance according to the basic physiological information, the type and the target correction force.

3. The orthodontic appliance aid fitting method according to claim 2, characterized in that, The target correction parameter, the type, the movement vector and the basic physiological information are inputted into a preset fitting model, and a target specification parameter of the auxiliary appliance is outputted according to the fitting model, which comprises: mapping the basic physiological information to obtain a mass coefficient and a periodontal health coefficient of the teeth of the target user; determining a target movement distance of the teeth of the target user according to the movement vector; determining the target correction force according to the target correction parameter, the mass coefficient, the periodontal health coefficient, the target movement distance and the mechanical coefficient.

4. The orthodontic appliance aid fitting method according to claim 2, characterized by, The target correction parameter, the type, the movement vector and the basic physiological information are inputted into a preset fitting model, and a target specification parameter of the auxiliary appliance is outputted according to the fitting model, which comprises: determining an initial specification parameter of the auxiliary appliance according to the type and the target correction force; adjusting the initial specification parameter according to the basic physiological information to obtain the target specification parameter of the auxiliary appliance.

5. The method of claim 1, wherein the method further comprises: The target correction parameter, the type, the movement vector and the basic physiological information are inputted into a preset fitting model, and a target specification parameter of the auxiliary appliance is outputted according to the fitting model, which comprises: establishing a three-dimensional coordinate system based on the oral image; determining an original coordinate of the teeth of the target user according to the oral image and the three-dimensional coordinate system; converting the target correction parameter into a target correction coordinate according to the three-dimensional coordinate system; determining the movement vector according to the target correction coordinate and the original coordinate.

6. The method of claim 1, wherein the method further comprises: The type of the auxiliary appliance is determined according to the oral image, which comprises: extracting tooth feature data from the oral image; obtaining a tooth correction type matched with the tooth feature data in a preset correction type library; determining the type of the auxiliary appliance according to the tooth correction type.

7. The orthodontic appliance aid fitting method according to claim 1, characterized by, The auxiliary appliance is a traction appliance, which includes a traction structure and a neck support structure, one end of the traction structure is connected to the orthodontic appliance, and the other end of the traction structure is connected to the neck support structure; The target specification parameters include a first connection position of the traction structure on the orthodontic appliance and a second connection position of the traction structure on the neck support structure; The target specification parameters of the auxiliary appliance are output according to the fitting model, including: According to the fitting model, the first connection position is determined according to the target correction parameter, the movement vector and the basic physiological information; According to the movement vector, the connection angle between the traction structure and the neck support structure is determined; According to the connection angle, the second connection position is determined.

8. An orthodontic appliance aid fitting device, characterized by Including: An acquisition module is configured to acquire basic physiological information of a target user, an oral image, and target correction parameters of teeth of the target user; A first determination module is configured to determine a movement vector of the teeth of the target user according to the oral image and the target correction parameters, the movement vector being a vector of the teeth of the target user moving to a position corresponding to the target correction parameters; A second determination module is configured to determine a type of the auxiliary appliance according to the oral image; An output module is configured to input the target correction parameters, the type, the movement vector and the basic physiological information into a preset fitting model, and output target specification parameters of the auxiliary appliance according to the fitting model.

9. A computer device, comprising: The computer readable storage medium stores computer readable instructions, and the computer readable instructions are executed by the processor to realize the steps of the auxiliary appliance fitting method of the orthodontic appliance according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer readable instructions, and the computer readable instructions are executed by the processor to realize the steps of the auxiliary appliance fitting method of the orthodontic appliance according to any one of claims 1 to 7.

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