Implant tooth implant brand identification system and identification method based on big data

Abstract

The invention discloses a dental implant brand identification system and method based on big data, and the method comprises the steps: creating a dental implant brand database, and storing the related data, data and 3D models of dental implants and abutment products of various brand series produced by various manufacturers in the database; the client side service module can receive input information of various different modes and index and inquire the input information, so that a patient and a doctor can inquire data information of an implant and an abutment or related accessories of the implant tooth through an application program of a mobile terminal APP or a computer terminal or a webpage, systematic knowledge in the aspect of the implant tooth is provided for the patient, and the patient can know the implant tooth conveniently. A more reasonable medical scheme is provided for doctors, and the doctors are helped to realize experience accumulation and skill improvement; a manufacturer can maintain data of the dental implant and the abutment of the brand, so that a patient and a doctor can more comprehensively know product information and product performance of the brand, and better popularization and service are provided.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic production of implant bases, and in particular to a big data-based dental implant brand recognition system and recognition method. Background Art

[0002] Dentures are artificial teeth that replace missing natural teeth. They are restorations made after partial or complete tooth loss in the upper and lower jaws. They include implants, abutments, and crowns. The choice of dental implants usually needs to consider the patient's oral health, the material of the implant, the surface treatment process of the implant, the shape and structure of the implant, and the patient's personal financial situation.

[0003] Since people rarely come into contact with relevant information in their daily lives, patients usually receive dental implant brands recommended by doctors or friends, and then search the Internet to learn about the relevant information of the brand of dental implants. The information obtained in this way is relatively scattered and unsystematic.

[0004] Doctors usually make recommendations to patients based on their oral health conditions. However, each patient's condition is different. For example, patients' periodontal disease, alveolar bone mass, oral inflammation, etc. require doctors to summarize experience in a large number of practices in order to propose reasonable treatment plans and recommend appropriate implant brands. Doctors' understanding of various implant brands comes from brand introductions and their own practical experience. Therefore, doctors need more cases to understand the applicable situations of implant brands and accelerate the growth of their own medical skills. Summary of the invention

[0005] In view of this, it is necessary to provide a dental implant brand identification system and identification method based on big data to facilitate patients and doctors to understand the performance of implants.

[0006] A dental implant brand identification system based on big data is used for storing, maintaining and retrieving dental implant brand information data, the system comprising: Dental implant brand database module, used for dental implant brand data maintenance, database security management, data backup management, to achieve the query, analysis and statistics of dental implant brand data in the database; A database search module is used to search the dental implant brand database for data according to the query request initiated by the client and to feed back the search result to the client that initiated the request; The client service module is used to receive the customer's query information, initiate a query request to the database retrieval module, and display the final query results; Among them, the field information of the dental implant brand information database includes manufacturer information, brand name, series name, specifications, models, materials, 3D models, sizes, interface types of implants, abutments and their accessories, product advantages and disadvantages, recommended applicable groups, wearing precautions, implant cases, and links to accessories related to implants and abutments in the database.

[0007] Preferably, the dental implant brand database module includes: The field information management module is used to configure the field information of the dental implant brand information database, and to add, delete, modify and update the field information; The information data maintenance module is used to add, delete, modify and update the brand information of dental implants, implants, abutments and interface data, check the integrity and rationality of the data, and manage the data storage of the database; The information security management module is used to manage database user permissions, encrypted storage and backup of data, and record system operation logs.

[0008] Preferably, the client service module includes a mobile client module and a web client module, and the client service module is used for user registration, login and user information management, inputting information to be queried, and preliminarily identifying the information to be queried, and initiating a query request to the database retrieval module; Among them, the types of registered users include system administrator users, manufacturer users, doctor users and ordinary users; The information to be queried includes text information, image information, and product and brand scan information of implants and abutments.

[0009] Preferably, the database retrieval module comprises: A query information processing module is used to receive the query information transmitted by the client segment service module and conduct a rationality review on the received information; The information query module is used to determine the query conditions and perform corresponding information retrieval in the target database to obtain the query results; The query result feedback module is used to generate the obtained query results into the data format required by the user according to the user's needs.

[0010] And, a dental implant brand recognition method based on big data, which is used to identify dental implants and abutments through the dental implant brand recognition system based on big data as described above, comprising the following specific steps: Step 1: Create a dental implant brand database, configure the database information fields, obtain and input dental implant brand data, and related data of implants, abutments and accessories of each brand; Step 2: The user enters the information to be queried through the client; Step 3: search the dental implant brand database according to the information to be queried, and feed back the query results to the client; Step 4: The client displays the query results.

[0011] Preferably, the specific steps of obtaining and inputting dental implant brand data in step 1 include: Step 1.1, batch import the dental implant and abutment data stored in the file into the dental implant brand database through commands; Step 1.2: Integrate, convert and clean the dental implant and abutment data obtained from multiple systems or data sources, and then import them into the dental implant brand database; Step 1.3: Automatically classify the newly input product data by brand through the autonomous learning mechanism of artificial intelligence.

[0012] Preferably, the specific steps of step 2, in which the user inputs the information to be queried through the client, include: Step 2.1, register a user through the client. The registered user types include manufacturer users, doctor users and general users; Step 2.2, the dental implant brand database system authenticates the manufacturer user and the doctor user to ensure the information security of the database; Step 2.3, enter the text information, image information or scanned information to be queried in the query box; Among them, the text information includes descriptive text of implants and abutments used for fuzzy query; the picture information includes brand pictures of dental implants, pictures of implants or abutments, and pictures of the interface between implants and abutments; the scan information includes physical scanned pictures of implants or abutments obtained through the scanning function of the mobile terminal; Step 2.4: After the manufacturer user passes the authentication, the system specifies the data area that the manufacturer user can operate.

[0013] Preferably, in step 2.4, after the manufacturer user passes the authentication, the system specifies the data area that the manufacturer user can operate, including: Step 2.4.1, the manufacturer user enters the brand introduction information of the manufacturer; Step 2.4.2, the manufacturer user enters the data information of each series of products within the brand, including the specifications, models, materials, sizes, interface types and 3D models of implants and abutments, advantages and disadvantages, and precautions when using; In step 2.4.3, the system reviews the integrity and rationality of the product data entered by the manufacturer.

[0014] Preferably, the specific steps of searching the dental implant brand database according to the information to be queried in step three include: Step 3.1, receiving the query information sent by the client, and performing intelligent retrieval on the received images and entity scanned images; Step 3.2, sort the retrieved query results according to the user type.

[0015] Preferably, in step 4, the specific steps of the client displaying the query results include: Step 4.1, the client receives the query result sent by the dental implant brand database; Step 4.2, the query results are displayed on the display screen, and the query results include text information, picture information, and audio and video information; when the user type is a doctor user, the query results include brand recommendation information retrieved based on the input query conditions, and relevant diagnosis and operation cases of implant and abutment implant surgery; when the user type is an ordinary user, the query results include text descriptions and picture information of the queried brand information of dental implants, materials, advantages and disadvantages of brand implants and abutments, and audio and video information on the product performance introduction of the corresponding brand of dental implants and wearing precautions.

[0016] In the above-mentioned dental implant brand identification system and identification method based on big data, a dental implant brand database is created, and the relevant information, data and 3D models of dental implants and abutment products of each brand series produced by each manufacturer are stored in the database. The client service module can receive input information of various modes, and index and query it, so that patients and doctors can query the data information of dental implants and abutments or related accessories through mobile terminal APP, computer terminal application or web page, provide patients with systematic dental implant knowledge, provide doctors with more reasonable medical solutions, and help doctors accumulate experience and improve skills; enable manufacturers to maintain the brand of dental implants and abutment data, so that patients and doctors can have a more comprehensive understanding of the brand's product information and product performance, and provide better promotion and service. The dental implant brand identification method in this technical solution has a flexible retrieval method, a wide database coverage, and provides a good communication platform for patients, doctors and manufacturers. The technical solution of the present invention is simple, easy to implement, low-cost, and easy to promote. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a module block diagram of a dental implant brand identification system based on big data according to an embodiment of the present invention.

[0018] Figure 2 It is a flow chart of a dental implant brand identification method based on big data according to an embodiment of the present invention.

[0019] Figure 3 and Figure 4This is an example of a 3D model diagram of the base in the big data-based dental implant brand identification system according to an embodiment of the present invention.

[0020] Figure 5 It is the display result of the client in the method for identifying the brand of dental implant based on big data in the embodiment of the present invention. Figure 1 .

[0021] Figure 6 It is the display result of the client in the method for identifying the brand of dental implant based on big data in the embodiment of the present invention. Figure 2 .

[0022] Figure 7 It is the display result of the client in the method for identifying the brand of dental implant based on big data in the embodiment of the present invention. Figure 3 . DETAILED DESCRIPTION

[0023] This embodiment takes a dental implant brand identification system and identification method based on big data as an example, and the present invention will be described in detail below in conjunction with specific embodiments and drawings.

[0024] See also Figure 1 , showing a dental implant brand identification system based on big data provided by an embodiment of the present invention, which is used for storing, maintaining and retrieving dental implant brand information data, the system comprising: Dental implant brand database module, used for dental implant brand data maintenance, database security management, data backup management, to achieve the query, analysis and statistics of dental implant brand data in the database; A database search module is used to search the dental implant brand database for data according to the query request initiated by the client and to feed back the search result to the client that initiated the request; The client service module is used to receive the customer's query information, initiate a query request to the database retrieval module, and display the final query results; Among them, the field information of the dental implant brand information database includes manufacturer information, brand name, series name, specifications, models, materials, 3D models, sizes, interface types of implants, abutments and their accessories, product advantages and disadvantages, recommended applicable groups, wearing precautions, implant cases, and links to accessories related to implants and abutments in the database.

[0025] Preferably, the dental implant brand database module includes: The field information management module is used to configure the field information of the dental implant brand information database, and to add, delete, modify and update the field information; The information data maintenance module is used to add, delete, modify and update the brand information of dental implants, implants, abutments and interface data, check the integrity and rationality of the data, and manage the data storage of the database; The information security management module is used to manage database user permissions, encrypted storage and backup of data, and record system operation logs.

[0026] Specifically, the information security management module is used not only to manage the user's modification authority to data information, but also to manage the user's viewing authority to data information. For example, a manufacturer user can only modify and update the brand data of the manufacturer; a doctor user can view medical cases; a patient user cannot view the size information of implants and abutments, etc.

[0027] Specifically, the manufacturer information also includes a link to the manufacturer's network address, so that customers can quickly access the manufacturer's homepage and increase their understanding of the manufacturers of dental implants and abutments.

[0028] Specifically, the links in the database of implant- and abutment-related accessories enable dentists to quickly locate the same series of dental implant products and their accessories, avoiding the tedious operation of searching for each accessory one by one in the database.

[0029] Preferably, the client service module includes a mobile client module and a web client module, and the client service module is used for user registration, login and user information management, inputting information to be queried, and preliminarily identifying the information to be queried, and initiating a query request to the database retrieval module; Among them, the types of registered users include system administrator users, manufacturer users, doctor users and ordinary users; The information to be queried includes text information, image information, and product and brand scan information of implants and abutments.

[0030] Specifically, the client service module also includes: Dental implant common sense push module, which is used to introduce the basic knowledge of dental implants, the structure of teeth, the components and influencing factors of dental implants, the surgical risks and timing of dental implants, postoperative precautions, and the wearing and maintenance common sense of dental implants; The new dental implant product introduction module is used to introduce the performance and materials of new dental implant products, the advantages and disadvantages of different implants and abutments and their accessories, and the applicable groups.

[0031] Preferably, the database retrieval module comprises: A query information processing module is used to receive the query information transmitted by the client segment service module and conduct a rationality review on the received information; The information query module is used to determine the query conditions and perform corresponding information retrieval in the target database to obtain the query results; The query result feedback module is used to generate the obtained query results into the data format required by the user according to the user's needs.

[0032] The following are examples of various specifications and models of implant abutment interfaces in the database: The interfaces are divided into: cone type, triangle type, quadrilateral type, hexagonal type, octagonal type, plum blossom type Each interface category is divided into subcategories according to the shape, specifications, and models of the implant interface: for example: Conical type: TA-001-Magagen EZ-Plus MINI NON Conical type: TA-002-Magagen EZ-Plus Regular NON Conical type: TA-003-Dentium Superline Standard NON Conical type: TA-004-Osstem GSTS Mini NON Conical type: TA-005-Osstem GSTS Regular NON Triangle: TB-001-Anthogyr Axiom Triangular type: TB-002-Camlog Conelog 3.3 Triangle type: TB-003-Camlog Conelog 3.8 Triangle type: TB-004-Camlog Conelog 4.3 Triangle type: TB-005-Camlog Conelog 5.0 Four-sided: TC-001-Straumann NC Quad: TC-002-Straumann RC Four-sided: TC-003-Wego Regular Four-sided: TC-004-Wego Mini Four-sided: TC-005-Trausim BL NC Hexagonal type: TD-001-Adin NP3.0 Hexagonal type: TD-002-Adin RP3.5 Hexagonal: TD-003-Astra OsseoSpeed ​​3.5-4.0 Hexagonal: TD-004-Astra OsseoSpeed ​​4.5-5.0 Hexagonal: TD-005-Astra EV 3.6 Octagonal: TE-001- Bioconcept TL RN Octagonal: TE-002- Bioconcept TL WN Octagonal: TE-003-Straumann RN Octagonal: TE-004-Straumann WN Octagonal: TE-005-Trausim TL RP Torx type: TF-001-DIO SM Torx Mini Torx type: TF-002-DIO SM Torx Regular Plum blossom type: TE-003-Straumann BLX RB Plum blossom type: TE-003-Straumann BLX WB Plum blossom type: TE-004-Dentaurum implant tiologic3.7-4.2 See also Figure 3 and Figure 4 , showing an example of a 3D model diagram of an implant abutment in the database of this embodiment.

[0033] Also, see Figure 2 , a method for identifying a brand of a dental implant based on big data is shown, which is used to identify a dental implant and a base through the dental implant brand identification system based on big data as described above, and includes the following specific steps: Step 1: Create a dental implant brand database, configure the database information fields, obtain and input dental implant brand data, and related data of implants, abutments and accessories of each brand.

[0034] The specific steps of obtaining and inputting dental implant brand data in step 1 include: Step 1.1, batch import the dental implant and abutment data stored in the file into the dental implant brand database through commands; Step 1.2: Integrate, convert and clean the dental implant and abutment data obtained from multiple systems or data sources, and then import them into the dental implant brand database; Step 1.3: Automatically classify the newly input product data by brand through the autonomous learning mechanism of artificial intelligence.

[0035] Step 2: The user enters the information to be queried through the client; Step 2 includes: Step 2.1, register a user through the client. The registered user types include manufacturer users, doctor users and general users; Step 2.2, the dental implant brand database system authenticates the manufacturer user and the doctor user to ensure the information security of the database; Step 2.3, enter the text information, image information or scanned information to be queried in the query box; Among them, the text information includes descriptive text of implants and abutments used for fuzzy query; the picture information includes brand pictures of dental implants, pictures of implants or abutments, and pictures of the interface between implants and abutments; the scan information includes physical scanned pictures of implants or abutments obtained through the scanning function of the mobile terminal; Step 2.4: After the manufacturer user passes the authentication, the system specifies the data area that the manufacturer user can operate.

[0036] Step 2.4.1, the manufacturer user enters the brand introduction information of the manufacturer; Step 2.4.2, the manufacturer user enters the data information of each series of products within the brand, including the specifications, models, materials, sizes, interface types and 3D models of implants and abutments, advantages and disadvantages, and precautions when using; In step 2.4.3, the system reviews the integrity and rationality of the product data entered by the manufacturer.

[0037] Step three, search the dental implant brand database based on the information to be queried, and feed back the query results to the client.

[0038] Step three includes: Step 3.1, receiving the query information sent by the client, and performing intelligent retrieval on the received images and entity scanned images; Step 3.2, sort the retrieved query results according to the user type.

[0039] Step 4: The client displays the query results.

[0040] Step 4 includes: Step 4.1, the client receives the query result sent by the dental implant brand database; Step 4.2, the query results are displayed on the display screen, and the query results include text information, picture information, and audio and video information; when the user type is a doctor user, the query results include brand recommendation information retrieved based on the input query conditions, and relevant diagnosis and operation cases of implant and abutment implant surgery; when the user type is an ordinary user, the query results include text descriptions and picture information of the queried brand information of dental implants, materials, advantages and disadvantages of brand implants and abutments, and audio and video information on the product performance introduction of the corresponding brand of dental implants and wearing precautions.

[0041] Specifically, in this embodiment, when a user queries a brand of dental implant information through a client, based on the query information input by the user, such as the brand name, implant or abutment picture, the implant or abutment entity is scanned or photographed. For the picture input by the user or the image information obtained by scanning and photographing, first, the query information processing module performs operations such as equalization, stretching, smoothing filtering, and sharpening on the image to improve the clarity of the image, and then segments the image, and automatically classifies and identifies the image based on traditional pattern recognition methods and deep learning algorithms. The information query module retrieves the information in the database based on the query information, and the query result feedback module pushes the query results to the client. The query results are displayed externally on the display of the client.

[0042] For example, see Figure 5 and Figure 6 , showing the appearance, structural features and related text introduction of the implant and abutment. Users can intuitively see the appearance structure of the implant and abutment, as well as the interface structure between the abutment and the implant. The design of Morse taper and internal hexagon is adopted to obtain precise positioning through static fit; it also includes the micro-pitch structure of the implant to promote and maintain the formation of cortical bone tissue; as well as the material and surface treatment process of the implant and abutment.

[0043] See also Figure 7 , showing the production process, packaging process and disinfection process of dental implants, including the purification of the implant production line and the surface treatment process of the implant. The implant is sandblasted and double acid etched to increase the adhesion between bone cells and implants. Plasma treatment is used for final purification during the production process of implants and abutments. The production environment meets the ISO7 cleanliness standard, and gamma rays with strong penetrating power are used for product disinfection. In the packaging process of dental implants, in addition to meeting the requirements for the operating environment, the material of the packaging material, the packaging process and the label content are also explained, so that users can more easily identify the type and main parameters of the implant.

[0044] Specifically, the query result feedback module also feeds back to the client animation or video information such as the dental implant surgery process and wearing precautions, so that users can quickly and intuitively understand various aspects of information related to dental implants.

[0045] In the above-mentioned dental implant brand identification system and identification method based on big data, a dental implant brand database is created, and the relevant information, data and 3D models of dental implants and abutment products of each brand series produced by each manufacturer are stored in the database. The client service module can receive input information of various modes, and index and query it, so that patients and doctors can query the data information of dental implants and abutments or related accessories through mobile terminal APP, computer terminal application or web page, provide patients with systematic dental implant knowledge, provide doctors with more reasonable medical solutions, and help doctors accumulate experience and improve skills; enable manufacturers to maintain the brand of dental implants and abutment data, so that patients and doctors can have a more comprehensive understanding of the brand's product information and product performance, and provide better promotion and service. The dental implant brand identification method in this technical solution has a flexible retrieval method, a wide database coverage, and provides a good communication platform for patients, doctors and manufacturers. The technical solution of the present invention is simple, easy to implement, low-cost, and easy to promote.

[0046] It should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A dental implant brand identification system based on big data, used for storage, maintenance and retrieval of dental implant brand information data, characterized in that: The system comprises: Dental implant brand database module, used for dental implant brand data maintenance, database security management, data backup management, to achieve the query, analysis and statistics of dental implant brand data in the database; A database search module is used to search the dental implant brand database for data according to the query request initiated by the client and to feed back the search result to the client that initiated the request; The client service module is used to receive the customer's query information, initiate a query request to the database retrieval module, and display the final query results; Among them, the field information of the dental implant brand information database includes manufacturer information, brand name, series name, specifications, models, materials, 3D models, sizes, interface types of implants, abutments and their accessories, product advantages and disadvantages, recommended applicable groups, wearing precautions, implant cases, and links to accessories related to implants and abutments in the database.

2. The big data-based dental implant brand identification system according to claim 1, characterized in that: The dental implant brand database module includes: The field information management module is used to configure the field information of the dental implant brand information database, and to add, delete, modify and update the field information; The information data maintenance module is used to add, delete, modify and update the brand information of dental implants, implants, abutments and interface data, check the integrity and rationality of the data, and manage the data storage of the database; The information security management module is used to manage database user permissions, encrypted storage and backup of data, and record system operation logs.

3. The big data-based dental implant brand identification system according to claim 2, characterized in that: The client service module includes a mobile client module and a web client module. The client service module is used for user registration, login and user information management, inputting information to be queried, and performing preliminary identification of the information to be queried, and initiating a query request to the database retrieval module; Among them, the types of registered users include system administrator users, manufacturer users, doctor users and ordinary users; The information to be queried includes text information, image information, and product and brand scan information of implants and abutments.

4. The dental implant brand identification system based on big data according to claim 1, characterized in that: The database retrieval module comprises: A query information processing module is used to receive the query information transmitted by the client segment service module and conduct a rationality review on the received information; The information query module is used to determine the query conditions and perform corresponding information retrieval in the target database to obtain the query results; The query result feedback module is used to generate the obtained query results into the data format required by the user according to the user's needs.

5. A method for identifying a dental implant brand based on big data, used to identify a dental implant and abutment through a dental implant brand identification system based on big data as described in any one of claims 1 to 4, characterized in that: The specific steps include: Step 1: Create a dental implant brand database, configure the database information fields, obtain and input dental implant brand data, and related data of implants, abutments and accessories of each brand; Step 2: The user enters the information to be queried through the client; Step 3: search the dental implant brand database according to the information to be queried, and feed back the query results to the client; Step 4: The client displays the query results.

6. The method for identifying a dental implant brand based on big data according to claim 5, characterized in that: The specific steps of obtaining and inputting dental implant brand data in step 1 include: Step 1.1, batch import the dental implant and abutment data stored in the file into the dental implant brand database through commands; Step 1.2: Integrate, convert and clean the dental implant and abutment data obtained from multiple systems or data sources, and then import them into the dental implant brand database; Step 1.3: Automatically classify the newly input product data by brand through the autonomous learning mechanism of artificial intelligence.

7. The method for identifying a dental implant brand based on big data according to claim 5, characterized in that: The specific steps of step 2, in which the user inputs the information to be queried through the client, include: Step 2.1, register a user through the client. The registered user types include manufacturer users, doctor users and general users; Step 2.2, the dental implant brand database system authenticates the manufacturer user and the doctor user to ensure the information security of the database; Step 2.3, enter the text information, image information or scanned information to be queried in the query box; Among them, the text information includes descriptive text of implants and abutments used for fuzzy query; the picture information includes brand pictures of dental implants, pictures of implants or abutments, and pictures of the interface between implants and abutments; the scan information includes physical scanned pictures of implants or abutments obtained through the scanning function of the mobile terminal; Step 2.4: After the manufacturer user passes the authentication, the system specifies the data area that the manufacturer user can operate.

8. The method for identifying a dental implant brand based on big data according to claim 7, characterized in that: In step 2.4, after the manufacturer user passes the authentication, the system specifies the data area that the manufacturer user can operate, including: Step 2.4.1, the manufacturer user enters the brand introduction information of the manufacturer; Step 2.4.2, the manufacturer user enters the data information of each series of products within the brand, including the specifications, models, materials, sizes, interface types and 3D models of implants and abutments, advantages and disadvantages, and precautions when using; In step 2.4.3, the system reviews the integrity and rationality of the product data entered by the manufacturer.

9. The method for identifying a dental implant brand based on big data according to claim 5, characterized in that: The specific steps of searching the dental implant brand database based on the information to be queried in step 3 include: Step 3.1, receiving the query information sent by the client, and performing intelligent retrieval on the received images and entity scanned images; Step 3.2, sort the retrieved query results according to the user type.

10. The method for identifying a dental implant brand based on big data according to claim 5, characterized in that: In step 4, the specific steps of displaying the query results on the client include: Step 4.1, the client receives the query result sent by the dental implant brand database; Step 4.2, the query results are displayed on the display screen, and the query results include text information, picture information, and audio and video information; when the user type is a doctor user, the query results include brand recommendation information retrieved based on the input query conditions, and relevant diagnosis and operation cases of implant and abutment implant surgery; when the user type is an ordinary user, the query results include text descriptions and picture information of the queried brand information of dental implants, materials, advantages and disadvantages of brand implants and abutments, and audio and video information on the product performance introduction of the corresponding brand of dental implants and wearing precautions.

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