Method and system for providing prosthesis design service on basis of all-in-one dental processing machine
The all-in-one dental processing machine integrates AI-driven prosthetic design and processing, addressing the inefficiencies of separate systems by enabling rapid, error-reduced production directly on the machine, enhancing economic efficiency.
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- DDS
- Filing Date
- 2025-10-29
- Publication Date
- 2026-05-07
AI Technical Summary
Conventional prosthetic design systems require separate devices for design and processing, leading to lengthy procedures, high data transmission times, and increased error probabilities due to large file sizes and manual input of fabrication details.
An all-in-one dental processing machine that integrates prosthetic design and processing, utilizing AI and manual operations directly on the machine's display for seamless design and immediate processing without external devices, enabling AI-driven prosthetic design and chairside milling.
This approach reduces design and processing time, minimizes errors, and enhances economic efficiency by allowing immediate modification and viewing on the processing machine, handling the entire process from design to production in a single unit.
Smart Images

Figure KR2025017401_07052026_PF_FP_ABST
Abstract
Description
Method and system for providing prosthetic design services based on an all-in-one dental processing machine
[0001] The present invention relates to a method and system for providing a prosthetic design service that provides a prosthetic design UI (User Interface) as a display of an all-in-one dental processing machine that minimizes data throughput using cloud computing, and enables the virtual prosthetic designed with the provided UI to be actually processed through the processing machine.
[0002] Impression taking in the dental prosthetic fabrication process is an important clinical step that serves as the foundation for diagnosing the patient, establishing future treatment plans, and fabricating accurate prosthetics by capturing the condition of oral teeth and tissues onto an impression material.
[0003] In the past, impression taking was performed manually using plaster or the like, but recently, active development is underway for a prosthetic production system that digitally scans the oral cavity using an oral scanner, displays the scanned oral data as a 3D model, designs dental prosthetics on a computer based on the 3D oral model, and produces the designed prosthetics.
[0004] In particular, attention is focused on prosthetic design technology that displays oral images modeled in prosthetic production systems in a way that is easy for users to recognize, and enables the easy design of precise and aesthetically pleasing prosthetics using these displayed images.
[0005] However, conventional prosthetic design systems had a procedure in which a prosthetic was designed in detail using a CAD (Computer Aided Design) or CAM (Computer Aided Manufacturing) program on a machine separate from the processing machine, and a file for the designed prosthetic had to be transmitted separately to the processing machine.
[0006] At this time, the prosthetist had to manually determine the elements for tooth fabrication, such as the bur, block, type, size, and angle of the prosthesis to be used when fabricating the prosthesis, depending on the user's oral condition, so it took a long time to design the prosthesis.
[0007] In addition, since files based on CAD and / or CAM are rendered down to very detailed areas for all modeled teeth, their size is very high, which causes a long time to be required for the separate transmission procedure to the machine tool and increases the probability of errors occurring during transmission.
[0008] In order to solve these problems, there is an urgent need for an invention of an all-in-one dental processing machine that utilizes the machine's display to design a prosthesis for a user's oral cavity through AI or manual operation by a prosthesis maker, and immediately processes the designed prosthesis.
[0009] The present invention was devised to solve the problems of the prior art as described above, and aims to provide a method and system for providing a prosthetic design service based on an all-in-one dental processing machine that enables AI design of prosthetics and advanced chairside milling using only the display of the processing machine without linkage with other devices or complex design processes.
[0010] In addition, the present invention aims to provide a method and system for providing a prosthetic design service based on an all-in-one dental processing machine that immediately outputs the 3D shape of a target prosthetic.
[0011] In addition, the present invention aims to provide a method and system for providing a prosthetic design service based on an all-in-one dental processing machine that provides an interface that allows for immediate modification and viewing on the processing machine itself.
[0012] In addition, the present invention aims to provide a method and system for providing a prosthetic design service based on an all-in-one dental processing machine that provides a processing device capable of handling everything from prosthetic design to processing in one go.
[0013] However, the technical problems that the present invention and the embodiments of the present invention aim to solve are not limited to the technical problems described above, and other technical problems may exist.
[0014] A method for providing a prosthetic design service based on an all-in-one dental processor according to an embodiment of the present invention is a method in which a computing system including memory and a processor provides a prosthetic design service based on an all-in-one dental processor, comprising: a step of displaying at least one oral data stored in a cloud server; a step of determining a first tooth in an oral model displaying the oral data; a step of obtaining prosthetic design information for the determined first tooth; a step of generating a virtual prosthetic design according to the prosthetic design information based on a prosthetic design interface; a step of generating processing data for producing the generated virtual prosthetic design; and a step of controlling the all-in-one dental processor to start a prosthetic manufacturing process based on the processing data.
[0015] Additionally, the step of displaying at least one oral data includes the step of acquiring first oral data including oral scan data, oral details, and patient personal information for a first patient uploaded to the cloud server, and the step of displaying patient personal information matched to the first oral data on the display of the all-in-one dental processor.
[0016] Additionally, the step of determining a first tooth for the first oral data includes the step of extracting first oral scan data included in the first oral data, the step of capturing the extracted first oral scan data at a first angle and saving it as a first oral image, the step of displaying the saved first oral image on the display of the all-in-one dental processor, and the step of determining the tooth where a touch input is detected in the displayed first oral image as the first tooth.
[0017] Additionally, the step of obtaining prosthetic design information for the first tooth includes the step of obtaining prosthetic design information from a prosthetic design AI model in conjunction with an AI server, wherein the prosthetic design AI model is an AI model that takes the first tooth and oral data matched to the first tooth as input data and prosthetic design information for the first tooth as output data, and the prosthetic design information includes at least one parameter among a tooth area to be restored, a prosthetic type, a margin line, an insertion axis, internal parameters of the prosthetic, a prosthetic size, a tooth alignment direction, a side arch line, and a tooth number of the prosthetic to be restored.
[0018] In addition, the step of generating a virtual prosthesis design according to the above prosthesis design information includes the step of converting the virtual prosthesis design expressed as prosthesis 3D modeling data into a viewpoint image, the step of displaying the converted viewpoint image on the display of the all-in-one dental processor, and the step of changing the virtual prosthesis design according to user input detected based on the prosthesis design interface.
[0019] In addition, the step of converting the virtual prosthesis design into a viewpoint image includes the step of generating a viewpoint image by limiting the visualization range of the 3D modeling data of the prosthesis, which is capable of 3D viewing from all angles, to only one or more pre-set viewpoints.
[0020] Additionally, the step of generating the processing data includes the step of obtaining processing data from a prosthesis processing AI model in conjunction with an AI server, wherein the prosthesis processing AI model is an AI model that takes prosthesis design information as input data and processing data as output data, and the processing data includes at least one parameter among the name, shape, type, direction, thickness, and dimension of a tool including at least one of a bur, a block, and a sprue.
[0021] In addition, the step of generating the processing data includes the step of visualizing the processing data and displaying it on the display of the all-in-one dental processing machine, and the step of changing the processing data according to user input detected based on the prosthetic processing interface.
[0022] Additionally, the step of controlling the all-in-one dental processor to start the prosthesis manufacturing process includes the step of recognizing the tool tagged to the all-in-one dental processor based on near-field communication, the step of comparing the recognized tool with a first tool matched to the first step of the prosthesis manufacturing process, and the step of controlling the all-in-one dental processor to start the first step if the first tool and the recognized tool match.
[0023] Meanwhile, a system for providing a prosthetic design service based on an all-in-one dental processor comprises: at least one memory; and at least one processor that reads at least one application stored in the memory to provide a prosthetic design service; wherein the instructions of the processor control the all-in-one dental processor to acquire oral data to be worked on, display an oral model through the acquired oral data, determine a first tooth in the displayed oral model, acquire prosthetic design information for the determined first tooth, generate a virtual prosthetic design according to the prosthetic design information based on a prosthetic design interface, generate processing data for manufacturing the generated virtual prosthetic design, and start a prosthetic manufacturing process based on the processing data.
[0024] A method and system for providing a prosthetic design service based on an all-in-one dental processing machine according to an embodiment of the present invention enables AI design and advanced chairside milling of prosthetics solely through the display of the processing machine without linkage with other devices or complex design processes, thereby saving time and procedures required for linkage with separate devices and significantly increasing the economic efficiency of the prosthetic manufacturing process.
[0025] In addition, the method and system for providing a prosthetic design service based on an all-in-one dental processor according to an embodiment of the present invention provides an interface that allows for immediate modification and viewing on the processor itself, thereby enabling modification of the prosthetic to be produced even on a processor with low specifications and slow data transmission and reception speeds, and has the effect of reducing the load on the processor due to the data volume applied to it.
[0026] In addition, the method and system for providing a prosthetic design service based on an all-in-one dental processing machine according to an embodiment of the present invention has the effect of increasing the speed of the prosthetic manufacturing process by reducing the loading procedure of a CAD or CAM program by immediately outputting the 3D shape of the target prosthetic.
[0027] In addition, the method and system for providing a prosthetic design service based on an all-in-one dental processing machine according to an embodiment of the present invention provides a processing machine device capable of handling everything from prosthetic design to processing in one go, thereby enabling the sale of the processing machine and, at the same time, the sale of consumable materials such as blocks and processing tools required for design, which generates profit for the intermediate seller.
[0028] However, the effects obtainable from the present invention are not limited to those mentioned above, and other unmentioned effects can be clearly understood from the description below.
[0029] FIG. 1 illustrates an example of a block diagram of a computing system that provides a prosthetic design service based on an all-in-one dental processor according to an embodiment of the present invention.
[0030] FIG. 2 illustrates an example of a block diagram of a computing device, which is one of the components of a computing system that provides a prosthetic design service based on an all-in-one dental processor according to an embodiment of the present invention.
[0031] FIG. 3 illustrates an example of a block diagram in another aspect of a computing device, which is one of the components of a computing system that provides a prosthetic design service based on an all-in-one dental processor according to an embodiment of the present invention.
[0032] FIG. 4 is a flowchart illustrating a method for providing a prosthetic design service based on an all-in-one dental processing machine according to an embodiment of the present invention.
[0033] FIG. 5 is an example of an oral image provided through a prosthetic design interface according to an embodiment of the present invention.
[0034] FIG. 6 is a conceptual diagram illustrating a virtual prosthesis design converted into a viewpoint image according to an embodiment of the present invention.
[0035] FIGS. 7 and FIGS. 8 are examples of virtual prosthetic designs provided through a prosthetic design interface according to an embodiment of the present invention.
[0036] FIG. 9 is an example of processing data provided through a prosthetic processing interface according to an embodiment of the present invention.
[0037] The present invention is capable of various modifications and may have various embodiments; therefore, specific embodiments are illustrated in the drawings and described in detail in the detailed description. The effects and features of the present invention, and the methods for achieving them, will become clear by referring to the embodiments described in detail below together with the drawings. However, the present invention is not limited to the embodiments disclosed below but can be implemented in various forms. In the following embodiments, terms such as "first," "second," etc., are used not in a limiting sense but for the purpose of distinguishing one component from another. Furthermore, singular expressions include plural expressions unless the context clearly indicates otherwise. Also, terms such as "include" or "have" mean that the features or components described in the specification exist, and do not preclude the possibility that one or more other features or components may be added. Additionally, in the drawings, the size of components may be exaggerated or reduced for convenience of explanation. For example, the size and thickness of each component shown in the drawings are arbitrarily depicted for convenience of explanation, so the present invention is not necessarily limited to what is illustrated.
[0038] Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings. When describing with reference to the drawings, identical or corresponding components are given the same reference numerals, and redundant descriptions thereof will be omitted.
[0039]
[0040] FIG. 1 illustrates an example of a block diagram of a computing system that performs a method of providing a prosthetic design service based on an all-in-one dental processor according to an embodiment of the present invention.
[0041] Referring to FIG. 1, a computing system (1000) for performing a method of providing a prosthetic design service based on an all-in-one dental processing machine according to one embodiment of the present invention includes a user computing device (110), a training computing system (150), and a server computing system (130), and each device and system is connected to communicate through a network (170).
[0042] According to an embodiment of the present invention, 1) a method of providing a prosthetic design service based on an all-in-one dental processor can be performed by using a local or / and external machine learning model (120) or a machine learning model (140) provided by a server.
[0043] In addition, according to another embodiment of the present invention, 2) a server computing system (130) communicating with a user computing device (110) may provide a prosthetic design service to the user computing device (110) via an application or / and the web in response to a request from a user through the user computing device (110).
[0044] In addition, according to another embodiment of the present invention, 3) a user computing device (110) and a server computing system (130) may provide a prosthetic design service to a user by performing at least a part of the method of providing a prosthetic design service based on an all-in-one dental processor in conjunction with each other.
[0045] Additionally, according to various embodiments of the present invention, a user computing device (110) and / or a server computing system (130) can learn a machine learning model (120 / 140) that is performed in a method of providing a prosthetic design service based on an all-in-one dental processor through interaction with a training computing system (150) that is communicatedly connected via a network (170). At this time, the training computing system (150) may be separate from the server computing system (130) or may be a part of the server computing system (130).
[0046] In some embodiments, the training computing system (150) may be part of the server computing system (130) or part of the user computing device (110).
[0047] In the following description, a method of providing a prosthetic design service based on an all-in-one dental processor is executed by accessing a server computing system (130) through a user computing device (110), and the method of providing a prosthetic design service is described based on the server computing system (130) directly or by using a language model of a separate other server.
[0048] However, it can be understood that cases where part of the process described as being performed in a server computing system (130) is performed in a user computing device (110) are naturally included in the description of the present invention.
[0049] - User Computing Device (110: User Computing Device)
[0050] The user computing device (110) may include all other types of computing devices, such as a smartphone, a mobile phone, a digital broadcasting device, a PDA (personal digital assistants), a PMP (portable multimedia player), a desktop, a wearable device, an embedded computing device and / or a tablet PC.
[0051] Additionally, in the embodiment, the user computing device (110) may further include a predetermined server computing device that provides a prosthetic design service environment.
[0052] In an embodiment of the present invention, the user computing device (110) may be an all-in-one dental processor that designs a tooth and processes the designed tooth based on a predetermined material. That is, the user computing device (110) may be referred to as the processor (110) below.
[0053] This user computing device (110) includes at least one processor (111) and memory (112).
[0054] Here, the processor (111) may be composed of at least one of a central processing unit (CPU), a graphics processing unit (GPU), ASICs (application specific integrated circuits), DSPs (digital signal processors), DSPDs (digital signal processing devices), PLDs (programmable logic devices), FPGAs (field programmable gate arrays), controllers, microcontrollers, microprocessors, and / or other electrical units for performing functions, or a plurality of electrically connected processors.
[0055] The memory (112) may include one or more non-transient / transient computer-readable storage media such as RAM, ROM, EEPROM, EPROM, flash memory devices, magnetic disks, and combinations thereof, and may include web storage of a server that performs the storage function of memory on the internet. This memory (112) may store data and instructions necessary for the operation of an application for the at least one processor (111) to perform a method of providing a prosthetic design service based on an all-in-one dental processor.
[0056] In one embodiment, the user computing device (110) can perform various deep learning for prosthetic design services in conjunction with a deep-learning neural network.
[0057] Here, the deep learning neural network according to the embodiment may include a Convolutional Neural Network (CNN), R-CNN (Regions with CNN features), Fast R-CNN, Faster R-CNN, Mask R-CNN, etc., and may include any deep learning neural network that includes an algorithm capable of performing the embodiments described below, and the embodiments of the present invention do not limit or restrict such deep learning neural networks themselves.
[0058] At this time, according to the embodiment, the deep learning neural network may be installed directly on the server computing system (130) or operate as a separate device from the server computing system (130) to perform deep learning for the prosthetic design service.
[0059] Additionally, in one embodiment, the user computing device (110) may store at least one machine learning model (120). For example, the user computing device (110) may be various machine learning models, such as a plurality of neural networks (e.g., deep neural networks) that perform a method of providing a prosthetic design service based on an all-in-one dental processing machine based on structured / quantitative data, or other types of machine learning models including non-linear models and / or linear models, and may be composed of a combination thereof.
[0060] For example, machine learning models may include linear regression, decision trees, random forests, gradient boosting pre-trained language models or / and deep learning models. And neural networks may include at least one of feed-forward neural networks, recurrent neural networks (e.g., long short-term memory recurrent neural networks), convolutional neural networks or / and other forms of neural networks.
[0061] Additionally, the user computing device (110) may store a model to be used in each process and a prompt template that serves as the basis for input to the model in order to perform at least part of the process of providing a prosthetic design service based on an all-in-one dental processor through a large-scale language model (LLM).
[0062] That is, in one embodiment, the user computing device (110) can perform a method of providing a prosthetic design service based on an all-in-one dental processor by requesting the execution of some execution steps in a method of providing a prosthetic design service based on an all-in-one dental processor through a prompt or the like to a language model of an external server, based on the received data.
[0063] In another embodiment, regarding the method of providing a prosthetic design service based on an all-in-one dental processor requested through a user computing device (110), the server computing system (130) may perform the method of providing a prosthetic design service based on an all-in-one dental processor through at least one machine learning model (140) and a machine learning model of another server, and provide data to the user computing device (110).
[0064] Such a user computing device (110) may include at least one input component (121) that detects user input. Specifically, the input component (121) may include a sensor system including an image sensor, a position sensor (IMU), an audio sensor, a distance sensor, a proximity sensor, a contact sensor, etc.
[0065] For example, the user input component (121) may include a touch sensor (e.g., a touch screen or / and a touch pad, etc.) that detects a touch of the user's input medium (e.g., a finger or a stylus), an image sensor that detects the user's motion input, a microphone that detects the user's voice input, a button, a mouse and / or a keyboard, etc.
[0066] Here, the image sensor may include an image processing module. Specifically, the image sensor may process still images or video obtained by an image sensor device (e.g., CMOS or CCD).
[0067] In addition, the image sensor can process a still image or video acquired through the image sensor device using an image recognition process (e.g., OCR, etc.) and / or an image processing module to extract necessary information and transmit the extracted information to a processor.
[0068] Additionally, the input component (121) can receive input from an external controller (e.g., mouse, keyboard, etc.) based on an interface module, and in this case, may include an external output device (e.g., speaker).
[0069] At this time, the interface module may be configured to include at least one of a wired / wireless headset port, an external charger port, a wired / wireless data port, a memory card port, a port for connecting a device equipped with an identification module, an audio I / O (Input / Output) port, a video I / O (Input / Output) port, an earphone port, a power amplifier, an RF circuit, a transceiver, and other communication circuits.
[0070] In addition, the external output device may include a display system that outputs various information related to prosthetic design services as graphic images.
[0071] Such a display system may be implemented by including at least one of a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), a flexible display, a 3D display, and an e-ink display.
[0072] In the following, the display system may be referred to as the display (DP).
[0073] Meanwhile, the user computing device (110) including the above-described components may further perform at least some of the functional operations performed by the server computing system (130) described later.
[0074] -Server Computing System (130: Server Computing System)
[0075] The server computing system (130) can perform a series of processes to provide prosthetic design services.
[0076] In detail, in an embodiment, the server computing system (130) can provide the prosthetic design service by exchanging data necessary to enable the prosthetic design service process to be driven on an external device, such as a user computing device (110), with said external device.
[0077] More specifically, in an embodiment, the server computing system (130) can provide an environment in which an application can run on a user computing device (110).
[0078] To this end, the server computing system (130) may include an application program, data and / or instructions for the application to operate, and may transmit and receive various data based thereon with the external device.
[0079] Additionally, the server computing system (130) includes at least one processor (131) and memory (132). Here, the processor (131) may be composed of at least one or a plurality of electrically connected processors among a central processing unit (CPU), a graphics processing unit (GPU), ASICs (application specific integrated circuits), DSPs (digital signal processors), DSPDs (digital signal processing devices), PLDs (programmable logic devices), FPGAs (field programmable gate arrays), controllers, microcontrollers, microprocessors, and / or other electrical units for performing functions.
[0080] And the memory (132) may include one or more non-transient / transient computer-readable storage media such as RAM, ROM, EEPROM, EPROM, flash memory device, magnetic disk, etc. and combinations thereof. This memory (132) may store data and instructions required for prompt templates, machine learning models (140), etc., for the processor (131) to perform tasks through the language model of the server computing system (130) or / and the language model of an external server.
[0081] For example, a server computing system (130) may include a neural network or / and other multi-layer non-linear models as a machine learning model (140). Exemplary neural networks may include feed-forward neural networks, deep neural networks, recurrent neural networks, and convolutional neural networks.
[0082] In one embodiment, the server computing system (130) may be implemented to include at least one computing device. For example, the server computing system (130) may be implemented to operate a plurality of computing devices according to a sequential computing architecture, a parallel computing architecture, or a combination thereof. Additionally, the server computing system (130) may include a plurality of computing devices connected via a network.
[0083] In an embodiment, the server computing system (130) may further include a data store computing system (1000) (hereinafter, data store) which is a storage for continuously storing and managing raw data that forms the basis of a method (service) for providing a prosthetic design service based on an all-in-one dental processor. This data store may include various forms of data storage, ranging from file systems to cloud storage.
[0084] For example, a data store may include at least one database among a relational database that uses a structured query language (SQL) to define and manipulate data, a NoSQL database designed for flexibility and scalability to process unstructured and semi-structured data, a data warehouse optimized for querying and analysis by centralizing large volumes of data from multiple sources as a system used for reporting and data analysis, a data warehouse that stores large volumes of raw data in basic formats such as structured data, semi-structured data, and unstructured data, and a local storage device or Network Attached Storage (NAS) that stores data in files in a format generally accessible by a computer operating system.
[0085] In an embodiment, such a server computing system (130) may include an artificial intelligence server (130-1) that provides AI services and / or a cloud server (130-2) that transmits and receives at least one oral scan data. In this case, the artificial intelligence server (130-1) and / or the cloud server (130-2) may be external servers.
[0086] - Training Computing System (150: Training Computing System)
[0087] A training computing system (150) includes at least one processor (151) and a memory (152). Here, the processor (151) may be composed of at least one or a plurality of electrically connected processors, including a central processing unit (CPU), a graphics processing unit (GPU), ASICs (application specific integrated circuits), DSPs (digital signal processors), DSPDs (digital signal processing devices), PLDs (programmable logic devices), FPGAs (field programmable gate arrays), controllers, microcontrollers, microprocessors, and / or other electrical units for performing functions. The memory (152) may include one or more non-transient / transient computer-readable storage media, such as RAM, ROM, EEPROM, EPROM, flash memory devices, magnetic disks, and combinations thereof. This memory (152) may store data and instructions necessary for the processor (151) to train a machine learning model.
[0088] For example, the training computing system (150) may include a model trainer (160) that trains a machine learning model stored in a user computing device (110) and / or a server computing system (130) using various training or learning techniques, such as back propagation of error.
[0089] For example, the model trainer (160) can perform backpropagation updates to one or more parameters of a machine learning model for a prosthetic design service based on a defined loss function.
[0090] In some embodiments, performing backpropagation of the error may include performing truncated backpropagation through time. The model trainer (160) may perform a number of generalization techniques (e.g., weight decrement, dropout, knowledge distillation, etc.) to improve the generalization ability of the machine learning model being trained.
[0091] And the model trainer (160) includes computer logic utilized to provide the desired function. The model trainer (160) may be implemented as hardware, firmware and / or software that controls a general-purpose processor. For example, in one embodiment, the model trainer (160) includes a program file stored in a storage device, loaded into memory, and executed by one or more processors. In another embodiment, the model trainer (160) includes one or more sets of computer-executable instructions stored in a tangible computer-readable storage medium, such as a RAM hard disk or an optical or magnetic medium.
[0092] Networks (170) include, but are not limited to, 3GPP (3rd Generation Partnership Project) networks, LTE (Long Term Evolution) networks, WIMAX (World Interoperability for Microwave Access) networks, Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth networks, satellite broadcasting networks, analog broadcasting networks and / or DMB (Digital Multimedia Broadcasting) networks.
[0093] Generally, communication through the network (170) can be performed using any type of wired and / or wireless connection through various communication protocols (e.g., TCP / IP, HTTP, SMTP, FTP), encodings or formats (e.g., HTML, XML), and / or protection schemes (e.g., VPN, Secure HTTP, SSL).
[0094]
[0095] FIG. 2 illustrates an example of a block diagram of a computing device, which is one of the components of a computing system (1000) that performs a method of providing a prosthetic design service based on an all-in-one dental processor according to an embodiment of the present invention.
[0096] Including FIG. 2, the computing device (100) included in the user computing device (110), server computing system (130), and training computing system (150) includes a plurality of applications (e.g., applications 1 to N). Each application may include a machine learning library.
[0097] In an embodiment, the computing device (100) may include a model trainer (160) for training a machine learning model, and may perform a method of providing a prosthetic design service based on an all-in-one dental processing machine for input data by storing and operating the machine learning model.
[0098] Each application of the computing device (100) can communicate with a number of other components of the computing device, such as, for example, one or more sensors, a context manager, a device state component, and / or additional components. In one embodiment, each application can communicate with each device component using an API (e.g., a public API). In one embodiment, the API used by each application may be specific to that application.
[0099]
[0100] FIG. 3 illustrates an example of a block diagram in another aspect of a computing device, which is one of the components of a computing system (1000) that performs a method of providing a prosthetic design service based on an all-in-one dental processor according to an embodiment of the present invention.
[0101] Referring to FIG. 3, the computing device (200) includes a plurality of applications (e.g., Application 1 to Application N). Each application can communicate with a central intelligence layer.
[0102] In one embodiment, each application can communicate with a central intelligence layer (and models stored therein) using an API (e.g., a common API across all applications).
[0103] And the central intelligence layer may include prompts using a plurality of machine learning models or / and language models. For example, as illustrated in FIG. 3, each machine learning model and at least some thereof may be provided for each application and managed by the central intelligence layer. In another embodiment, two or more applications may share a single machine learning model. For example, in some embodiment, the central intelligence layer may provide a single model for all applications. In some embodiment, the central intelligence layer may be included within the operating system of the computing device (200) or otherwise implemented.
[0104] The central intelligence layer can communicate with the central device data layer. The central device data layer may be a centralized data store for the computing device (200). As illustrated in FIG. 3, the central device data layer can communicate with a number of other components of the computing device, such as, for example, one or more sensors, a context manager, a device state component, and / or additional components. In some embodiments, the central device data layer can communicate with each device component using an API (e.g., a private API).
[0105] The technology described herein may refer to servers, databases, software applications, and other computer-based systems, as well as actions taken and information transmitted to or from said systems. It will be recognized that the inherent flexibility of computer-based systems allows for a wide range of possible configurations, combinations, division of tasks, and functionality between and from components. For example, the processes described herein may be implemented using a single device or component or multiple devices or components operating in combination. Databases and applications may be implemented in a single system or in a distributed system across multiple systems. Distributed components may operate sequentially or in parallel.
[0106] - Method of providing prosthetic design services based on an all-in-one dental processing machine
[0107] Hereinafter, a method for a computing system (1000) according to an embodiment of the present invention to provide a prosthetic design service based on an all-in-one dental processor will be described in detail with reference to the attached FIGS. 4 to 9.
[0108] In an embodiment of the present invention, at least one processor of the user computing device (110) (hereinafter, processor (110)) can execute at least one application stored in at least one memory (112) or operate in a background state.
[0109] Hereinafter, the processor of at least one processing machine (110) operates to execute the instructions of the application and performs a method of providing a prosthetic design service based on the all-in-one dental processing machine described above, which is shortened to describe as being performed by the processor (111).
[0110] In the embodiments, the prosthetic design service may refer to the overall service of automatically and / or manually generating a virtual prosthetic design based on information about a patient's teeth, and providing processing data for producing the generated virtual prosthetic design into a physical object.
[0111] At this time, the creation of the virtual prosthesis design may include cases where it is created according to an automated workflow based on an AI design function according to the type of processing machine (110) and / or cases where it is created according to a workflow based on manual settings of a user (in the example, a prosthesis creation manager who receives the prosthesis design service).
[0112] For example, in the latter case, it could be a case where design support was provided at the dental laboratory, excluding AI design functions.
[0113] For the sake of convenience, the following explanation will be based on the case where AI design functions are utilized.
[0114] FIG. 4 is a flowchart illustrating a method for providing a prosthetic design service based on an all-in-one dental processing machine according to an embodiment of the present invention.
[0115] Referring to FIG. 4, in the embodiment, the processor (111) can display a list of multiple oral data stored in a cloud server (130-2) on a display (DP). (S101)
[0116] At this time, in the embodiment, the processor (111) can obtain oral data uploaded from a predetermined device that stores a plurality of oral data.
[0117] The above single oral data is considered to correspond to one patient, and thus multiple oral data may mean a set of oral data for each of several patients.
[0118] Specifically, in the embodiment, the processor (111) can acquire and store oral data dragged and dropped from a predetermined device to a cloud server (130-2) in conjunction with a predetermined device. That is, the cloud server (130-2) can perform the role of local storage such as Dropbox.
[0119] In addition, the oral data according to the embodiment may be oral scan data, oral details, and / or data matched with patient personal information.
[0120] Oral scan data refers to data that creates a 3D model of the patient's entire or part of the oral cavity scanned by an oral scanner.
[0121] These oral scan data may be scan data obtained by scanning the entire oral cavity, including the maxilla, mandible, and occlusal surface, etc., or scan data obtained by scanning one of the maxilla, mandible, and occlusal surface, or scan data obtained by scanning a part of the maxilla, a part of the mandible, or a part of the occlusal surface.
[0122] Meanwhile, in the embodiment, the processor (111) can convert 3D modeled oral scan data into an oral image based on a CAD program.
[0123] A CAD program refers to a program that generates 2D or 3D files by sketching, drawing, and designing objects using computer graphics software. Files produced by such CAD programs are very large in size because they allow for the complete realization of objects in 3D within the program, enabling design verification and modification without the need for physical production.
[0124] That is, in the embodiment, the processor (111) can convert large volume oral scan data into a low volume oral image so that it can be displayed and / or controlled on the display (DP) of the processor (110).
[0125] To this end, in the embodiment, the processor (111) can capture oral scan data at a first angle and store it as an oral image. At this time, the first angle may be an angle in which all of the patient's teeth are displayed.
[0126] Additionally, in the embodiment, the processor (111) can match the stored oral image with the oral data.
[0127] Accordingly, a relatively small oral image, rather than large 3D data such as oral scan data, can be matched to the oral data and transmitted to the processor (110).
[0128] Oral detailed information refers to detailed information about the patient's oral cavity, which may include information on unique characteristics and / or the condition of the teeth.
[0129] Specifically, in the embodiment, the oral detailed information may include information on the inherent characteristics of the teeth regarding the dental structure, such as the alignment direction of the teeth, the arrangement direction of each face of the teeth, the tooth number, the side arch line (the arch line on the occlusal surface side), the dental structure, the angle between teeth, the spacing between teeth, the tooth size, etc., and information on the condition of the teeth, such as tooth color, caries, tooth decay, tooth damage, tooth loss, and the type of prosthesis for the damaged part.
[0130] Patient personal information may include various information related to the patient's personal details, such as the patient's name, date of birth, and hospital name.
[0131] In an embodiment, the processor (111) can display the patient's personal information among the oral data on a display (DP) as a representative. Accordingly, the user can clearly understand the oral data even with a small amount of data.
[0132] Additionally, in the embodiment, the processor (111) can determine the first tooth for the first oral data among the displayed oral data. (S103)
[0133] Here, the first tooth may be a tooth to be fabricated as a prosthesis. Additionally, the first tooth may be at least one, but for convenience of explanation in the embodiments of the present invention, it is described based on one tooth.
[0134] In an embodiment, the processor (111) can detect a user input selecting a first oral data among the displayed oral data.
[0135] Additionally, in the embodiment, the processor (111) may provide an oral image matched to the first oral data based on the prosthetic design interface according to the detected user input.
[0136] FIG. 5 is an example of an oral image provided through a prosthetic design interface according to an embodiment of the present invention.
[0137] Referring to FIG. 5, in the embodiment, the processor (111) can display an oral image matched to the first oral data based on the prosthetic design interface (DI).
[0138] The prosthetic design interface (DI) according to the embodiment may be an interface that designs a prosthetic according to sequential steps based on oral data obtained by analyzing the oral model based on an oral image displaying a 3D oral model and an arch line. More specifically, the prosthetic design interface (DI) determines parameters for designing a prosthetic at each step sequentially while providing appropriate oral-related information at each step, and synthesizes and modifies the determined parameters on the oral image, thereby allowing the user to effectively and easily design a prosthetic.
[0139] At this time, since the prosthetic design interface (DI) in step S103 is provided only for the selection of the first tooth, it may be provided in a relatively simplified manner compared to the prosthetic design interface (DI) in the subsequent steps.
[0140] For example, the processor (111) can display an oral image (500) and a tooth selection area (510), and when a user selects a first tooth (TH) according to a tooth number displayed in the tooth selection area (510), the first tooth (TH) can be highlighted with a predetermined line.
[0141] That is, the processor (111) can display an oral image by providing a prosthetic design interface (DI) to the display (DP) of the processor (110) and detect a first tooth selection input. At this time, the input to the display (DP) may be a touch input.
[0142] Additionally, in the embodiment, the processor (111) can obtain prosthetic design information for the determined first tooth. (S105)
[0143] Specifically, in the embodiment, the processor (111) can obtain prosthetic design information for the first tooth based on a prosthetic design artificial intelligence model by linking with the artificial intelligence server (130-1).
[0144] In the embodiment, the artificial intelligence model for prosthetic design may be a deep learning model that takes a first tooth and oral data matched to the first tooth as input data and prosthetic design information as output data.
[0145] In this case, the term "prosthesis" may refer to an artificial replacement for one or more teeth or related tissues. For example, when the prosthesis is defined as an implant, which is a material that serves as the root of a tooth, the prosthesis may refer to any one or all of the following: an implant fixture inserted into the alveolar bone, an implant abutment connected to the implant fixture, and an implant crown that covers the upper side of the implant abutment and forms the outer upper part of the artificial tooth.
[0146] In addition, types of prosthetics may include inlays, onlays, crowns, laminates, bridges, copings, implants, or dentures.
[0147] In addition, in a broad sense, prosthetics may also include dental aids such as surgical guides, orthodontic appliances, and articulators.
[0148] That is, the prosthesis design information according to the embodiment may include at least one parameter among a tooth area to be restored, a prosthesis type, a margin line, an insertion axis, internal parameters of the prosthesis (e.g., minimum thickness, margin thickness, cement gap, contact distance, pontic base gap), a prosthesis size, a tooth alignment direction, a side arch line, and / or a tooth number of the prosthesis to be restored.
[0149] In addition, the margin line may include at least one of a lingual archline, a buccal archline, a mesial boundary, or a distal boundary.
[0150] In addition, in the embodiment, the processor (111) can generate a virtual prosthesis design as is based on the acquired prosthesis design information, or generate a virtual prosthesis design after a predetermined modification.
[0151] At this time, in the embodiment, the processor (111) may provide a prosthetic design interface that allows the user to manually change certain elements (e.g., prosthetic type and / or prosthetic internal parameters) included in the acquired prosthetic design information and to view the modified items in 3D.
[0152] That is, in the embodiment, the processor (111) can generate a virtual prosthesis design according to the prosthesis design information based on the prosthesis design interface (DI). (S107)
[0153] In an embodiment, the processor (111) can display a virtual prosthesis design, which is an object that sketches and / or draws a prosthesis in 3D based on prosthesis design information, in the prosthesis design interface (DI).
[0154] In other words, the prosthetic design interface (DI) according to the embodiment may be an interface for viewing and / or modifying a virtual prosthetic design based on user input.
[0155] At this time, if the virtual prosthesis design is an image file (hereinafter referred to as prosthesis 3D modeling data) that has been fully rendered based on a CAM program, it is a file that allows the virtual prosthesis design to be viewed in 3D from any direction, and since the file size is very large, it may be difficult to view and / or modify it directly on a low-spec display (DP) placed on the processing machine (110).
[0156] Therefore, in the embodiment, the processor (111) can convert large volume prosthetic 3D modeling data into low volume viewpoint images so that the 3D visualized virtual prosthetic design can be viewed and / or modified even on the processor itself.
[0157] FIG. 6 is a conceptual diagram illustrating a virtual prosthesis design converted into a viewpoint image according to an embodiment of the present invention.
[0158] Here, the view point image according to the embodiment may be an image in which the visualization range is limited so that 3D viewing is possible only at a predetermined angle and / or point.
[0159] In the embodiment, the processor (111) can convert 3D modeling data of a prosthesis modeled in 3D based on a CAM program into a viewpoint image.
[0160] In detail, referring to FIG. 6, in an embodiment, the processor (111) can convert prosthetic 3D modeling data (1001) based on a 3D program (e.g., CAM) into a viewpoint image (1002).
[0161] A CAM program refers to a program that extracts the 3D coordinate system of an object, determines the shape using that coordinate system, and selects a cutting tool so that a virtual prosthesis can be fabricated immediately. Like the aforementioned CAD program, files produced by such a CAM program have a very large file size.
[0162] That is, in the embodiment, the processor (111) can convert a virtual prosthesis design represented by prosthesis 3D modeling data (1001) into a low-capacity viewpoint image (1002) so that it can be displayed and / or controlled on the display (DP) of the processing machine (110).
[0163] In the embodiment, the prosthetic 3D modeling data (1001) may be a full rendering file that allows 3D viewing from all angles. Meanwhile, in the embodiment, the view point image (1002) may be a partial rendering file that allows 3D viewing only from a predetermined angle.
[0164] That is, the view point image (1002) may include at least one view point (V1, V2, V3, V4). The view point may be a predetermined angle.
[0165] Additionally, the above view point may be an angle in which certain features are displayed for a virtual prosthesis to be fabricated for the patient's first tooth. These view points may be manually set by a doctor or a prosthesis maker and / or automatically set by an artificial intelligence model for prosthesis design.
[0166] Based on this, providing a virtual prosthesis design as a viewpoint image according to an embodiment of the present invention enables modification of the prosthesis to be manufactured even on a processing machine with low specifications and slow data transmission and reception speeds, and has the effect of reducing the load on the processing machine due to the data volume applied.
[0167] Returning to the embodiment, the processor (111) can visualize and display certain information included in the prosthetic design information based on the prosthetic design interface (DI) at at least one view point (V1, V2, V3, V4).
[0168] FIGS. 7 and FIGS. 8 are examples of virtual prosthetic designs provided through a prosthetic design interface according to an embodiment of the present invention.
[0169] Referring to FIGS. 7 and FIGS. 8, in the embodiment, the processor (111) can display a virtual prosthetic design generated according to prosthetic design information based on the prosthetic design interface (DI).
[0170] For example, the processor (111) can display a first viewpoint image (1002-1) based on a first viewpoint such as FIG. 7 and a second viewpoint image (1002-2) based on a second viewpoint such as FIG. 8.
[0171] In this embodiment, the processor (111) may primarily display the prosthetic design information as a line when visualizing the prosthetic design information based on the prosthetic design interface (DI). Meanwhile, points or other symbols may also be used to set the arch line or tooth boundary. However, lines may be the most effective for intuitively representing boundaries and the dental arch in a two-dimensional oral image.
[0172] For example, referring to FIG. 7, the processor (111) can display a first margin line (ML) including at least one dot (D) and an insertion axis (AX).
[0173] Additionally, in the embodiment, the processor (111) can change a predetermined angle and / or magnification ratio based on the setting area (620) of the first and second view point images (1002-1, 1002-2).
[0174] In detail, the processor (111) can detect user input changing a predetermined angle based on the setting area (620) and change the predetermined angle from (a) to (b) as shown in FIG. 8 to display the second view point image (1002-2) for viewing.
[0175] Additionally, in the embodiment, the processor (111) can change the virtual prosthesis design according to a predetermined user input based on the setting area (620) of the first and second view point images (1002-1, 1002-2).
[0176] For example, the processor (111) can change the virtual prosthesis design by detecting in the setting area (620) an input that changes at least one parameter among the attributes of the prosthesis itself, such as the prosthesis type, margin line, insertion axis, internal parameters of the prosthesis (e.g., minimum thickness, margin thickness, cement gap, contact distance, pontic base gap), prosthesis size, and / or side arch line, excluding the input that changes the first tooth determined in step S103 among the information included in the prosthesis design information.
[0177] More specifically, the processor (111) determines one of the dot (D), the first margin line (ML) and / or the insertion axis (AX), and can change the position or angle of the corresponding element based on the setting area (620).
[0178] Additionally, the processor (111) can acquire and display and / or provide a viewpoint image that reflects the change element immediately according to the change element. Furthermore, it may support linking this viewpoint image with the user's other device so that the prosthetic design interface (DI) is displayed on the other device.
[0179] Meanwhile, in the case of a centrally managed processing machine (110), in another embodiment, the processor (111) may obtain a prosthetic design already completed at a dental laboratory and correspond it with the oral data of one patient to display it directly on the processing machine (110). In this case, steps S101 to S107 may be omitted.
[0180] Additionally, in the embodiment, the processor (111) can generate processing data for producing the generated virtual prosthesis design. (S109)
[0181] In detail, in the embodiment, the processor (111) can obtain processing data for a virtual prosthesis design based on a prosthesis processing AI model by linking with an artificial intelligence server (130-1).
[0182] In the embodiment, the artificial intelligence model for processing the prosthesis may be a deep learning model that takes prosthesis design information as input data and processing data as output data.
[0183] At this time, the processing data according to the embodiment may be information including at least one parameter among the name, shape, type, direction, thickness, and / or dimension of various tools (e.g., cutting tool (e.g., bur)) and / or the prosthesis itself (e.g., block) of the processing machine (110) used for manufacturing the prosthesis.
[0184] In other words, processing data may be information that determines the cutting tool, material, and shape (e.g., 3D coordinate system) most suitable for the shape of the virtual prosthesis to be produced.
[0185] In addition, in the embodiment, the processor (111) can visualize and display processing data based on the prosthetic processing interface (MNI).
[0186] FIG. 9 is an example of processing data provided through a prosthetic processing interface according to an embodiment of the present invention.
[0187] Referring to FIG. 9, in the embodiment, the processor (111) can display processing data for a virtual prosthesis design based on a prosthesis processing interface (MNI).
[0188] For example, the processor (111) can display a third view point image (1002-3) that displays processing data according to the third view point in 3D as in FIG. 9 on the prosthetic processing interface (MNI).
[0189] Additionally, in an embodiment, the processor (111) can view and / or change certain elements of the processing data based on the setting area (720) of the prosthetic processing interface (MNI).
[0190] For example, the processor (111) can view and / or change detailed processing data including bur dimensions, block material and dimensions, sprue type, rotation, thickness, etc. based on the setting area (720).
[0191] In addition, as described above in the prosthetic design interface (DI), a viewpoint image reflecting the change elements can be acquired, displayed, and / or provided immediately upon change of processing data.
[0192] Accordingly, users can check and modify the actual shapes of various tools to be used in the actual process, which has the effect of improving process accuracy.
[0193] When the user confirms the design and processing data of the prosthesis to be finally manufactured through the prosthesis design interface (DI) and / or the prosthesis processing interface (MNI), in the embodiment, the processor (111) can control the processing machine (110) to start a prosthesis manufacturing process to produce the actual prosthesis based on the generated processing data. (S111)
[0194] Additionally, in the embodiment, the processor (111) can control the processing machine (110) to sequentially perform each step included in the prosthesis manufacturing process.
[0195] At this time, the processing machine (110) and multiple tools (e.g., blocks and / or cutting tools) used in the prosthesis manufacturing process may each have an RFID chip with a unique code recorded therein embedded therein. In addition, the unique codes of the tools used at each stage of the prosthesis manufacturing process may be pre-matched.
[0196] That is, the user can tag the tool to be used in the prosthesis manufacturing process to the processing machine (110), and accordingly, in the embodiment, the processor (111) can recognize the tool used in the prosthesis manufacturing process based on short-range communication (e.g., RFID).
[0197] Additionally, in the embodiment, the processor (111) can determine whether the recognized tool is a tool suitable for the corresponding step of the pre-set prosthetic manufacturing process by comparing the first tool matched to the first step of the prosthetic manufacturing process with the tool recognized based on short-range communication.
[0198] Additionally, in an embodiment, the processor (111) can control the processing machine (110) to start the first step when the first tool and the recognized tool match.
[0199] Accordingly, the processor (111) according to an embodiment of the present invention can support the prosthetic manufacturing process to be carried out normally in real time based on short-range communication between the processing machine (110) and / or a plurality of tools.
[0200]
[0201] In summary, the method and system for providing a prosthetic design service based on an all-in-one dental processing machine according to an embodiment of the present invention enables AI design and advanced chairside milling of prosthetics solely through the display of the processing machine without linking with other devices or complex design processes, thereby saving time and procedures required for linking with separate devices and significantly increasing the economic efficiency of the prosthetic manufacturing process.
[0202] In addition, the method and system for providing a prosthetic design service based on an all-in-one dental processor according to an embodiment of the present invention provides an interface that allows for immediate modification and viewing on the processor itself, thereby enabling modification of the prosthetic to be produced even on a processor with low specifications and slow data transmission and reception speeds, and has the effect of reducing the load on the processor due to the data volume applied to it.
[0203] In addition, the method and system for providing a prosthetic design service based on an all-in-one dental processing machine according to an embodiment of the present invention has the effect of increasing the speed of the prosthetic manufacturing process by reducing the loading procedure of a CAD or CAM program by immediately outputting the 3D shape of the target prosthetic.
[0204] In addition, the method and system for providing a prosthetic design service based on an all-in-one dental processing machine according to an embodiment of the present invention provides a processing machine device capable of handling everything from prosthetic design to processing in one go, thereby enabling the sale of the processing machine and, at the same time, the sale of consumable materials such as blocks and processing tools required for design, which generates profit for the intermediate seller.
[0205] The embodiments according to the present invention described above may be implemented in the form of program instructions that can be executed through various computer components and recorded on a computer-readable recording medium. The computer-readable recording medium may include program instructions, data files, data structures, etc., either individually or in combination. The program instructions recorded on the computer-readable recording medium may be those specifically designed and configured for the present invention or those known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes; optical recording media such as CD-ROMs and DVDs; magneto-optical media such as floptical disks; and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, and flash memory. Examples of program instructions include machine code, such as that generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. Hardware devices may be modified into one or more software modules to perform processing according to the present invention, and vice versa.
[0206] The specific embodiments described in this invention are examples and do not limit the scope of the invention in any way. For the sake of brevity of the specification, descriptions of prior electronic configurations, control systems, software, and other functional aspects of said systems may be omitted. Additionally, the connections of lines or connecting members between components shown in the drawings are illustrative of functional connections and / or physical or circuit connections, and may be replaced or additionally represented as various functional connections, physical connections, or circuit connections in actual devices. Furthermore, unless specifically stated as “essential,” “importantly,” etc., a component may not be strictly necessary for the application of the invention.
[0207] Furthermore, although the detailed description of the present invention has been explained with reference to preferred embodiments of the invention, those skilled in the art or those with ordinary knowledge in the relevant technical field will understand that various modifications and changes can be made to the invention without departing from the spirit and technical scope of the invention as set forth in the claims below. Accordingly, the technical scope of the present invention should not be limited to the contents described in the detailed description of the specification, but should be determined by the claims.
[0208] The present invention has industrial applicability in that it can be widely utilized as a system for producing customized prostheses quickly and efficiently while reducing the burden of data processing in dental hospitals or dental laboratories by providing an integrated system from prosthetic design to processing using the display of the dental processing machine itself and cloud computing.
Claims
1. A method in which a computing system including memory and a processor provides a prosthetic design service based on an all-in-one dental processing machine, wherein A step of displaying at least one oral data stored on a cloud server; A step of determining a first tooth in an oral model displaying the above oral data; A step of obtaining prosthetic design information for the first tooth determined above; A step of generating a virtual prosthesis design based on the prosthesis design information according to the prosthesis design interface; A step of generating processing data for producing the above-mentioned virtual prosthesis design; and A step of controlling the all-in-one dental processor to start a prosthesis manufacturing process based on the above processing data; A method of providing prosthetic design services based on an all-in-one dental processing machine.
2. In Paragraph 1, The step of displaying at least one oral data above is, The step of obtaining first oral data including oral scan data, oral details, and patient personal information for the first patient uploaded to the cloud server, and A step comprising displaying patient personal information matched to the first oral data on the display of the all-in-one dental processor. A method of providing prosthetic design services based on an all-in-one dental processing machine.
3. In Paragraph 2, The step of determining the first tooth for the above-mentioned first oral data is, A step of extracting first oral scan data included in the first oral data, and The step of capturing the extracted first oral scan data at a first angle and saving it as a first oral image, and The step of displaying the stored first oral image on the display of the all-in-one dental processor, and A step comprising determining the tooth where touch input is detected in the first oral image shown above as the first tooth. A method of providing prosthetic design services based on an all-in-one dental processing machine.
4. In Paragraph 1, The step of obtaining prosthetic design information for the first tooth is, It includes a step of obtaining prosthetic design information from a prosthetic design AI model by linking with an AI server, and The above-mentioned AI model for prosthetic design is, An artificial intelligence model that takes a first tooth and oral data matched to the first tooth as input data and prosthetic design information for the first tooth as output data, and The above prosthetic design information is, Includes at least one parameter among the tooth area to be restored, prosthesis type, margin line, insertion axis, internal parameters of the prosthesis, prosthesis size, tooth alignment direction, side arch line, and tooth number of the prosthesis to be restored. A method of providing prosthetic design services based on an all-in-one dental processing machine.
5. In Paragraph 1, The step of generating a virtual prosthesis design based on the above prosthesis design information is: A step of converting a virtual prosthesis design represented by 3D prosthesis modeling data into a viewpoint image, and The step of displaying the converted view point image on the display of the all-in-one dental processing machine, and A step comprising changing the virtual prosthesis design according to user input detected based on the above prosthesis design interface. A method of providing prosthetic design services based on an all-in-one dental processing machine.
6. In Paragraph 5, The step of converting the above virtual prosthesis design into a viewpoint image is, A step comprising generating a viewpoint image by restricting the visualization range of the above-mentioned prosthesis 3D modeling data, which is capable of 3D viewing from all angles, so that 3D viewing is possible only at at least one pre-set viewpoint. A method of providing prosthetic design services based on an all-in-one dental processing machine.
7. In Paragraph 1, The step of generating the above processed data is, It includes a step of obtaining processing data from a prosthetic processing AI model by linking with an AI server, and The above artificial intelligence model for prosthetic processing is, It is an artificial intelligence model that uses prosthetic design information as input data and processed data as output data, and The above processed data is, A tool comprising at least one parameter among the name, shape, type, orientation, thickness, and dimension of a tool comprising at least one of a bur, a block, and a sprue. A method of providing prosthetic design services based on an all-in-one dental processing machine.
8. In Paragraph 1, The step of generating the above processed data is, The step of visualizing the above processing data and displaying it on the display of the all-in-one dental processing machine, and A step comprising changing the processing data according to user input detected based on a prosthetic processing interface A method of providing prosthetic design services based on an all-in-one dental processing machine.
9. In Paragraph 7, The step of controlling the all-in-one dental processor to start the above-mentioned prosthesis manufacturing process is, A step of recognizing the tool tagged to the all-in-one dental processing machine based on near-field communication, and A step of comparing a first tool matched to the first step of the above-mentioned prosthesis manufacturing process with the recognized tool, and A step comprising controlling the all-in-one dental processing machine to start the first step when the first tool and the recognized tool match. A method of providing prosthetic design services based on an all-in-one dental processing machine.
10. At least one memory; and An all-in-one dental processing machine comprising at least one processor that reads at least one application stored in the memory and provides a prosthetic design service; The instructions of the above processor are, Acquire oral data that is the target of the work, and Display an oral model using the oral data obtained above, and Determine the first tooth in the oral model shown above, and Obtain prosthetic design information for the first tooth determined above, and Based on the prosthetic design interface, a virtual prosthetic design according to the above prosthetic design information is generated, and Generate processing data for manufacturing the above-mentioned virtual prosthesis design, and Controlling the all-in-one dental processor to start the prosthesis manufacturing process based on the above processing data A system that provides prosthetic design services based on an all-in-one dental processing machine.
Citation Information
Patent Citations
Temporary dental prosthesis for use in developing final dental porsthesis
EP4218664A2
Method for digitally designing dentures using existing dentures - Patent Application 20070122997
JP2022550721A
System For Rendering 3D Data
KR1020180109412A
Method manufacturing jig for PRA and the using the thereof jig
KR102656766B1
KR20230046389A