1453 results about "Oral problems" patented technology

The invention relates to the technical field of denture manufacturing, and discloses a high-precision digital complete denture 3D printing method which comprises the following steps: obtaining an initial denture model of a target object; acquiring occlusal point adjustment data; acquiring actual adjustment data; adjusting the initial false tooth model based on the actual adjustment data, and converting the adjusted initial false tooth model into a 3D printing instruction for 3D printing; according to the method, stress distribution during occlusion is simulated through finite element analysis, a three-dimensional occlusion thermodynamic diagram is obtained and input into a constructed CNN network model, occlusion point adjustment data are obtained, adjustment data of effective occlusion contact points are mapped into a solid model, and actual adjustment data are obtained; three-dimensional data of the oral cavity of a patient is obtained through a scanner, digital analysis is conducted in combination with a neural network model, the denture manufacturing precision is improved, manufacturing is conducted in a 3D printing mode, the manufacturing efficiency is high, the patient feels comfortable when wearing the denture and occludes the denture well, and the problem of diet difficulty of the implant patient is solved in time.

The invention discloses a data processing method and system for a dental three-dimensional model, and relates to the technical field of dental three-dimensional modeling, and the method comprises the steps: obtaining initial data of oral cavity scanning, recognizing a tooth type in the initial data, and determining a corresponding tooth surface reflection parameter according to the tooth type; generating scanning parameter combinations for different tooth positions according to the tooth surface reflection parameters and the tooth anatomical structure; tooth point cloud data are collected, and a tooth enamel reflective area and a shadow shielding area are identified; performing light reflection removal processing on the enamel light reflection area, performing data completion on the shadow shielding area, and generating corrected tooth point cloud data; and performing registration fusion on the corrected tooth point cloud data to generate a dental three-dimensional model containing a complete dentition. According to the method, the problem of data missing caused by enamel light reflection and adjacent tooth shielding is solved through a differential scanning strategy and regional data processing aiming at specific optical characteristics of teeth, and automatic construction of a high-quality dental three-dimensional model is realized.

The invention provides an intelligent toothbrush based on AI visual identification and an oral health assessment method, and relates to the technical field of artificial intelligence and computer vision. The intelligent toothbrush based on AI visual identification and the oral health assessment method comprise the following steps: S1, based on a built-in multispectral camera of the intelligent toothbrush, dynamically adjusting illumination parameters of different oral regions by adopting a visible light and near-infrared bimodal synchronous acquisition algorithm and through a self-adaptive exposure compensation technology, high-resolution images and transmission data of tooth surfaces and gingival lines are obtained, and a multi-mode oral cavity image data set is generated. Illumination parameters are dynamically adjusted through a multispectral camera to obtain high-resolution bimodal data, the focus detection precision is improved in combination with cross-modal feature fusion, the problem that traditional single-modal imaging is insufficient in early-stage dental caries recognition is solved, and the accuracy of early-stage dental caries recognition is improved based on laser radar point cloud complementation and a three-dimensional surface reconstruction technology. And mapping the two-dimensional focus label into a dynamic three-dimensional plaque distribution model.

The invention provides an oral liquid filling parameter optimization method and system, which is applied to the technical field of automatic production, and is characterized in that parameter adjustment is performed by introducing the change rate of filling weight deviation and combining instantaneous deviation, and meanwhile, long-term trend is continuously recorded and basic parameters are corrected; the problems that in the prior art, filling parameter adjustment lags behind, the convergence speed is low, and fluctuation is likely to be generated are effectively solved, and the filling precision and the qualified product rate are remarkably improved.

The invention relates to the technical field of computers, discloses a tooth three-dimensional precision correction method and system based on multi-source oral data fusion, and aims to solve the problems of low registration precision, serious geometric distortion and lack of function oriented optimization of multi-modal oral data in the prior art. The method comprises the following steps: synchronously obtaining intraoral scanning, CBCT and face three-dimensional point cloud data; carrying out format conversion, denoising and grid simplification preprocessing; tooth surface morphology, root canal anatomy and soft tissue contour features are extracted and coded into uniform feature tensors; and multi-modal data space alignment is realized through staged rigid and non-rigid registration. By means of the scheme, the multi-source data fusion precision and the tooth form restoration accuracy are remarkably improved, full-process automatic efficient processing is achieved, and the clinical real-time performance and high-precision diagnosis and treatment requirements are met.

The invention discloses a pronunciation correction data analysis method based on three-dimensional dynamic oral cavity modeling, and relates to the technical field of pronunciation correction, comprising the following steps: performing function fitting on historical reference points to obtain a normal pronunciation function; acquiring a normal pronunciation range based on the normal pronunciation function and the historical reference point; obtaining side views of the tongue part in the three-dimensional oral cavity modeling when the person to be analyzed pronounces and does not pronounce, and respectively marking the side views as a detection pronouncing diagram and a detection non-pronouncing diagram; scaling the detection pronunciation diagram based on the reference size and the detection unpronunciation diagram to obtain a detection correction diagram; judging whether abnormal pronunciation occurs based on the detection correction graph and the normal pronunciation range; the method is used for solving the problem that the accuracy of judging whether the position of the tongue is correct or not during pronunciation is low due to the fact that a method for judging the correct position of the tongue cannot be established through three-dimensional dynamic oral cavity modeling in an existing pronunciation correction technology.

The invention relates to the technical field of oral health management, and discloses an oral health management system based on big data, which comprises a data acquisition module, a data processing module and a data processing module, the intelligent diagnosis module is used for identifying oral health problems and diagnosing oral diseases through deep learning and an artificial intelligence algorithm, the health management suggestion module is used for predicting the future oral health trend of a user based on historical health data according to an intelligent diagnosis result, and the intelligent prediction module is used for predicting the future oral health trend of the user based on the historical health data. And the remote diagnosis and treatment module is used for providing auxiliary services for remote dental diagnosis and treatment. Through a data acquisition module, a data fusion module and an intelligent diagnosis module, oral cavity data and medical image data of a user are integrated, so that formulation of a personalized health management scheme is achieved, personalized oral cavity nursing schemes, diet guidance and living habit adjustment suggestions are provided for each user, and the user experience is improved. Therefore, the accuracy and effect of oral health management are improved.

The invention provides a deep learning-based oral cavity image recognition method, a storage medium and a deep learning-based oral cavity image recognition system. The method comprises the steps of deploying a federated learning framework and collecting a multi-modal oral cavity image data set; extracting local features to obtain image features, and generating a modal adaptive weight map; a multi-head self-attention mechanism is used for fusing the cross-modal features to generate a fused feature map, and deconvolution up-sampling is carried out to form high-resolution multi-modal feature representation. A tooth segmentation mask is generated based on this representation, and an initial diagnostic report is generated. And aggregating the attention weight of each client through an encryption protocol, and generating interpretable decision support data. And finally, generating a structured clinical report by using a natural language. According to the method, the Grad-CAM thermodynamic diagram is combined with the encrypted and aggregated attention weight, so that the privacy security is guaranteed, the model interpretability is enhanced, the clinical credibility and the diagnosis decision efficiency are improved, and the problems of insufficient diagnosis precision of complex lesions and insufficient utilization of multi-modal information in the prior art are solved.

The invention provides an abutment tooth selection multi-element analysis method based on improved YOLOv11. Comprising the following steps: preprocessing an original desensitized tooth panoramic x-ray film, constructing and marking a self-made data set, and carrying out target detection and tooth key point detection; in the target detection, a dynamic hybrid convolutional network (Dynamic Inception Mixer) and a small object enhanced pyramid (SOEP) are introduced into an original model, and the feature extraction fusion capability is enhanced; a frequency domain-space attention mechanism (FSA) and a ShapeIoU loss function are integrated, the small target recognition and bounding box regression precision is improved, and a DSF-YOLOv11s-detect model is generated. In key point detection, a high-frequency enhanced residual block (HFERB) and a multi-scale attention mechanism (MSGA) are introduced, so that the positioning accuracy is improved, an SIoU loss function is adopted to enhance the sensitivity to tooth direction features, and an HMS-YOLOv11s-pose model is generated. Experiments show that the improved model is better in recognition and positioning effect. The abutment tooth selection multi-element analysis method integrates two models, solves the problems of low minimal lesion recognition rate and insufficient multi-element comprehensive analysis ability of an original model, and promotes precise and intelligent auxiliary decision making of the dental department.

The invention relates to the technical field of oral liquid bottle cleaning and sterilizing, in particular to an oral liquid filling bottle body cleaning and sterilizing device. Comprising a case, an inner frame is arranged in the case, a motor, an inner gear ring and an outer gear ring are fixedly mounted on the inner frame, an intermittent shaft and a revolution shaft are rotatably mounted on the inner frame, two transmission interruption areas are arranged on the inner frame and correspond to the position between the inner gear ring and the outer gear ring, and a transmission wheel is mounted at the output shaft end of the motor; three fan-shaped tooth sections and three tooth-free arc sections are alternately arranged on the transmission wheel, the central angles of the three fan-shaped tooth sections are gradually increased by 30 degrees in the clockwise direction, and a driven gear meshed and matched with the fan-shaped tooth sections is mounted on the intermittent shaft. The device has the beneficial effects that through precise linkage of the motor, the transmission wheel, the variable-speed shaft, the inner gear ring and the outer gear ring, a stepped dehydration system is constructed, and the problem that stubborn water stains of traditional oral liquid bottle cleaning and sterilizing equipment are difficult to peel off is solved.

The invention belongs to the technical field of medical equipment, and particularly relates to a mask type vomit collecting device for the emergency department, the mask type vomit collecting device comprises a mask body, a mouth biting device is arranged on the inner side of the mask body, the mouth biting device comprises an arc-shaped flaring part and a circular tube part, an upper tooth groove and a lower tooth groove which are concave inwards are formed in the arc-shaped flaring part, and the circular tube part is communicated with the arc-shaped flaring part; the round pipe part is provided with a hard pipe section and a corrugated pipe section; the end, away from the arc-shaped flaring part, of the round pipe part is connected with a spitting pipe which penetrates through the mask body, the end, away from the mouth biting device, of the spitting pipe is connected with a conveying hose, and the end, away from the spitting pipe, of the conveying hose is connected with a collecting box. An elastic ring body is arranged on the edge of the mask body, two fixing bands are fixedly connected to the mask body, and the ends, away from the mask body, of the two fixing bands are detachably connected. By means of the device, vomitus of a patient can be conveyed into the collecting box in a closed mode, the vomitus cannot be exposed, and therefore people are prevented from feeling uncomfortable, and the vomitus pollution problem and the people infection problem are avoided.

The invention discloses a CBCT tooth segmentation method and system based on an anatomical perception cascade network, and the method comprises the steps: a first stage, carrying out the simplified dichotomy segmentation based on an original CBCT image and a coarse segmentation network taking 3D U-Net as a trunk, outputting maxillary and mandibular tooth probability graphs, and taking the maxillary and mandibular tooth probability graphs as prior information to guide the generation of an SDM; in the second stage, the original CBCT image and the calibrated maxillary tooth probability graph and the calibrated mandibular tooth probability graph are spliced together, a formed multi-channel input tensor is input into a fine segmentation network, the fine segmentation network takes Residual U-Net as a trunk, and an improved AGBR module and an improved SDMAA module are integrated in an encoder-decoder architecture of the fine segmentation network; and the decoder fuses all refined and re-calibrated feature maps, and upsamples and reconstructs 42 types of instance segmentation results with correct topology and clear boundaries. According to the method, the problem that in the prior art, when the inherent and local boundary fuzzy defect in CBCT is overcome, an effective pertinence mechanism is lacked is solved, and precise and robust 42-class instance segmentation can be achieved.

The utility model provides a brush head and an electric toothbrush and relates to the technical field of oral cavity cleaning, the brush head comprises a brush head body and a soft rubber piece, the brush head body is provided with a head part and a rod part connected with the head part, the head part is used for fixing bristles, and the rod part is used for being matched with a brush handle assembly; wherein the back face of the head portion is concavely arranged to form a vibration reduction cavity, an elastic supporting piece is arranged in the vibration reduction cavity, the brush head body is sleeved with the soft rubber piece or formed with the soft rubber piece, and the soft rubber piece at least covers the back face of the head portion and completely covers the vibration reduction cavity. The elastic supporting piece is constructed to be at least partially connected with the inner wall of the soft rubber piece in an abutting mode so as to be matched with the soft rubber piece for vibration reduction. Therefore, the problem that an existing brush head coated with soft rubber is poor in vibration reduction effect is solved.

The invention relates to the technical field of medical care, and discloses an intelligent oral sputum suction system based on multi-parameter feedback and a self-adaptive pressure adjusting method.The method comprises the steps that in a pipeline cleaning state, a standard load lookup table of working parameters of a negative pressure pump and pipeline negative pressure is established; in the sputum suction operation process, a first measurement value of the negative pressure of the pipeline and a second measurement value of the working parameters of the negative pressure pump are obtained in real time; according to the first measurement value, determining a corresponding negative pressure pump working parameter from the standard load lookup table as a standard working parameter, and when the second measurement value is higher than the standard working parameter, determining a compensation amount for correcting the first measurement value based on a difference value between the second measurement value and the standard working parameter, compensating the first measurement value according to the compensation amount to obtain a calibration negative pressure value; and if the calibrated negative pressure value exceeds the preset safety negative pressure upper limit, the working parameters of the negative pressure pump are adjusted to reduce the actual negative pressure. The problem of damage caused by inaccurate reading of the sensor in the prior art is effectively solved.

The invention relates to the technical field of artificial intelligence auxiliary medical treatment, and discloses a child tooth trauma intelligent grading and dynamic processing decision auxiliary system. A trauma identification module; an injury condition grading module; a processing suggestion generation module; a prognosis risk dynamic evaluation module; and a man-machine interaction module. The method comprises the following steps: acquiring an image containing child tooth trauma information and clinical data; utilizing a multi-label classification model to identify a trauma type; calculating a comprehensive injury condition score through a hierarchical multi-modal scoring network and determining an injury condition grade; calling a knowledge graph and a rule engine to generate and dynamically correct a processing suggestion; and continuously updating the prognosis risk assessment result based on the time sequence review data. The invention aims to solve the problems of strong evaluation subjectivity and complex decision in the diagnosis and treatment of the tooth trauma of children, provides standardized and intelligent decision assistance for clinic, and realizes closed-loop prognosis management.

The utility model relates to the technical field of medical equipment, discloses a non-invasive ear vagus nerve stimulator, and solves the problems that a stimulator and a stimulating electrode of a conventional ear vagus nerve stimulator need to prop open an auricular concha area, so that a patient is prone to generating ear pressing pain, and subsequent normal treatment is affected. Through the elastic force of the C-shaped elastic column, clamping force is generated between the stimulator body and the flexible clamping block which are connected with the C-shaped elastic column, the stimulator body and the flexible clamping block are clamped on the front face and the back face of the ear respectively, the stimulator body is fixed to the position of the auricular conchae, a discharging head on the electrode mechanism can be attached to the auricular conchae conveniently, and the electrode column is elastically supported through the rubber column. According to the ear protection device for the auricular conchae, the rubber columns elastically support the electrode columns, so that when the ear protection device is used for coping with the ears of different patients, the rubber columns can adaptively deform, and the discharge heads on the surfaces of the electrode columns can be better attached to the auricular conchae.

The invention discloses a human face mouth shape coordination generation method based on geometric constraints, and relates to the technical field of image generation, and the method comprises the steps: 1, synchronously generating face vertex index tables corresponding to mouth opening and closing spatial form matrixes one by one; 2, based on the facial vertex index table, mapping the lip and gum combined boundary constraint set to a unified coordinate system to form a geometric prior constraint tensor; 3, performing multi-modal topological cascade reversible mixed transformation on the geometric prior constraint tensor to obtain a high-dimensional tooth texture candidate tensor and constraint consistency confidence spectrum; and step 4, using the high-dimensional tooth texture candidate tensor and the constraint consistency confidence spectrum as input, completing anti-aliasing, illumination compensation and gamma correction on a unified rendering pipeline, and finally obtaining a mouth shape coordination synthetic frame sequence. According to the method, the sense of reality, geometric consistency and time sequence coherence of tooth textures in the mouth shape synthesis process are effectively improved, and the problem that lips and teeth are not coordinated in an existing method is solved.

This invention represents a marked improvement in pediatric oral hygiene, especially focusing on the vital early stages of an infant's oral development. Offering a versatile, easy-to-use device from the onset of an infant's life, the present device lays the groundwork for robust oral health, significantly reducing the risk of future dental issues. The unique design, combined with its adaptability and effectiveness in early oral care, makes it an indispensable tool in fostering comprehensive oral hygiene from infancy, thereby contributing to the lifelong dental well-being of individuals.

The invention belongs to the technical field of medical materials, and particularly relates to a tooth whitening composition and a preparation method thereof, the tooth whitening composition comprises the following components by weight: 5%-15% of hydrogen peroxide, 0.5%-1.5% of a gel matrix, 0.2%-1.0% of a thickener, 5%-10% of a humectant, 3%-8% of propylene glycol, 0.05%-0.2% of a chelating agent, 1%-3% of a sweetener, 0.1%-0.5% of sodium fluoride, and the balance of water. Aiming at the problems that an existing tooth whitening product is relatively low in pH value (most of 4.0-5.0), easy to irritate gingiva and sensitive in tooth manufacturing, and the existing tooth whitening product needs to be stored in a dark place at a low temperature and is short in whitening validity period, the pH value of the product is adjusted to 5.5-6.5, so that the product is close to oral saliva, the irritation can be reduced, the stability of the product can be ensured, the product is not easy to decompose, and the tooth whitening effect is good. Active ingredients are prevented from losing efficacy in advance, and the whitening validity period is prolonged.

The invention discloses a self-detection method and system for oral hypofunction of old people, and particularly relates to the technical field of medical health, the system comprises a login unit, an evaluation questionnaire unit and an intervention guidance unit, and the method comprises the following steps: B1, user registration and login; b2, performing dynamic logic interactive evaluation; b3, performing multi-dimensional classification evaluation; b4, risk grading and intervention generation; by means of the system and method, the elderly can complete self-detection at home through a mobile phone applet, self-detection can be conducted on the oral cavity weakness progress of the elderly anytime and anywhere, an oral cavity health exercise method can be provided according to problems, the oral cavity weakness progress of the elderly is delayed, and the life quality of the elderly is improved; software adopts audio-video combination, image-text combination and other modes, the oral health condition of an evaluator is obtained through questions and answers, the answers are based on selection questions, subjective assume or ambiguity is avoided, and the self-detection success rate and accuracy of old people are improved.

The invention discloses a duplex adjacent surface forming sheet system, which belongs to the field of oral cavity medical instruments and comprises a first forming sheet and a second forming sheet, the fixing ring is used for clamping the two sides between the first forming piece and the second forming piece which are attached to ensure that the first forming piece and the second forming piece are attached to teeth; a hollow groove is formed in the middle of the second forming sheet, and a positioning connecting structure connected with the second forming sheet is arranged on the first forming sheet; the positioning connecting structure comprises mounting holes which are symmetrically formed in the two sides of the middle of the first forming piece and matched with the two ends of the second forming piece. By means of the design, the two forming pieces can be overlaid at the same time, and perfect wrapping of the adjacent faces of the two teeth and accurate recovery of the contact are achieved. In addition, the gap between the two adjacent faces can be integrally planned through the mode, and many defects caused by respective filling in a traditional mode are overcome, for example, the problems that filling of the other adjacent face hole is hindered due to the fact that one filling body is too large, and food is impacted due to deviation of a contact area are solved.

The invention discloses a quality control method based on a levocarnitine oral solution preparation process, and relates to the technical field of quality detection. The quality control method based on the preparation process of the levocarnitine oral solution comprises the following steps: acquiring oral solution monitoring data; evaluating oral liquid quality; feeding back a result; and optimizing quality control parameters. According to the method, oral liquid quality evaluation is carried out through the obtained oral liquid monitoring data, the process quality feedback data is obtained, then the process parameter algorithm model is constructed according to the process quality feedback data, result feedback is carried out, and finally whether quality control parameter optimization is carried out or not is judged based on the process parameter algorithm model. The effect of improving the character stability of the prepared levocarnitine oral solution is achieved, and the problem that in the prior art, the quality of the prepared levocarnitine oral solution is difficult to control is solved.

The invention relates to the technical field of inquiry systems, in particular to an auxiliary inquiry system for oral treatment. Comprising an oral disease knowledge graph construction and inquiry knowledge base establishment module, a patient information acquisition and preprocessing module, an AI guide type inquiry module, a symptom correlation analysis and disease preliminary auxiliary prediction module, an auxiliary inquiry report generation module and a doctor feedback interaction and model iteration optimization module. According to the method, the problems of inaccurate patient description and key symptom omission in traditional inquiry are solved by constructing the oral disease knowledge graph, designing a multi-modal information acquisition and preprocessing process, generating an AI guide type inquiry process, combining the knowledge graph and machine learning to realize preliminary auxiliary disease prediction, and establishing a strict data security mechanism; the integrity and accuracy of symptom information collection are ensured through multi-modal information collection and dynamic guide inquiry.

The invention discloses an oral dispersion liquid composition capable of effectively inhibiting bacteria, and relates to the technical field of nano-emulsion / micro-capsule suspension liquid. Aiming at the problems of transient antibacterial effect, strong irritation and poor dispersibility of the traditional oral care product, the composition is prepared by adopting a nano-emulsion and micro-capsule technology. A bacteriostatic agent (such as nano-silver and thyme volatile oil) is wrapped in urea formaldehyde microcapsules through an interfacial polymerization method, and protection and controlled release of active ingredients are achieved. The nano-emulsion is prepared by compounding Span and Tween emulsifiers, so that high dispersity and permeability are ensured; tea polyphenol is added as an antioxidant, so that the stability is enhanced. The preparation method comprises the steps of nano-emulsion preparation, active ingredient microencapsulation, disperse system construction and sterilization filling, and the particle size D90 of a final product is smaller than or equal to 200 nm. The composition has a lasting antibacterial effect, good stability and safety, and is suitable for oral health maintenance.

The utility model discloses a convenient-to-assemble water tank for an oral irrigator, relates to the technical field of water tanks, and aims to solve the problem that the conventional water tank is troublesome to assemble and disassemble, and adopts the technical scheme that the convenient-to-assemble water tank comprises a water tank and an oral irrigator, two connecting rods I are symmetrically fixed at the upper part of the water tank, and limiting blocks are fixed at the upper parts of the connecting rods I; two first notches are symmetrically formed in the peripheral side of the oral irrigator, second notches are formed in the two sides of the bottom of the oral irrigator, the limiting blocks are arranged in the second notches in a sliding fit mode, limiting rods are arranged in the first notches in a sliding fit mode, and fixing blocks are fixed to one ends of the limiting rods. The limiting block is aligned with the second notch to be inserted into and extrude the fixing block, the limiting block and the fixing block are connected in a clamped mode, the water tank can be rapidly installed, meanwhile, the water tank can be disassembled only by pressing the two limiting rods at the same time, water can be conveniently added into the water tank, meanwhile, the water tank can be conveniently installed, operation is easy, and practicability is high. Four cushion blocks are arranged at the bottom of the water tank, so that the device is more stable during placement.

The invention discloses an intraoral scanning data correction method based on dynamic feature weight adjustment. The method comprises the following steps: S1, acquiring initial intraoral scanning data acquired by intraoral scanning equipment; s2, acquiring full oral cavity three-dimensional model data generated by cone beam computed tomography equipment; s3, extracting three-dimensional model information of a single tooth; s4, performing three-dimensional registration on the three-dimensional model information of the single tooth and a corresponding tooth model in the CBCT data based on a dynamic feature weight adjustment algorithm; s5, generating a full oral cavity correction model; s6, using a physical model generated by warehouse scanning as a verification standard; and S7, outputting the corrected full oral cavity three-dimensional model. According to the method, the problems of precision and consistency in oral three-dimensional scanning data are solved, the precision of the corrected whole oral model is remarkably improved, and the method has high practicability and clinical application value.

The invention relates to a health index monitoring tooth socket and a monitoring method thereof, and the method comprises the steps: collecting an optical signal in an oral cavity in real time through a collection module, and extracting a DC component and an AC component from the optical signal; and evaluating the signal quality of the direct-current component and the alternating-current component according to the standard signal proportion, and obtaining a target direct-current component and a target alternating-current component which meet the standard signal quality. On the basis of the cross correlation between the target direct-current component and the target alternating-current component, the blood oxygen saturation health index is obtained through a piecewise function. Based on the target alternating component, the heart rate health index is obtained through peak value detection. The problem of low monitoring accuracy of a monitoring method for monitoring health indexes in related technologies is solved.

The invention relates to a composition with functions of protecting gingiva and repairing enamel and a preparation method of the composition, and belongs to the technical field of oral care. The composition contains a functional additive, a plant compound fermentation extract and the like, the functional additive is a mixture of corn starch, calcium phosphosilicate, hydroxyapatite, ubiquinone, sodium guaiazulene sulfonate, menthol and vitamin E, and the plant compound fermentation extract is obtained by fermenting and purifying honeysuckle flowers, radix polygonati officinalis and dandelions according to a specific proportion. Through the synergistic effect of the fermentation extract and the functional components, the problems that an existing toothpaste body is hardened, the storage stability is poor, the gingival protecting effect is short, and the enamel repairing persistence is insufficient are solved, the gingival protecting effect can be enhanced, the enamel repairing effect can be improved, the stability of the toothpaste body can be optimized, the antibacterial property and the oral mucosa relieving effect are achieved, and the oral cavity repairing effect is achieved. And the preparation process is scientific and reasonable, and is suitable for daily oral care.

The invention relates to a method and a device for generating a panoramic curved surface fault slice based on a CBCT image of three-dimensional segmentation, and the method comprises the steps: S1, carrying out the three-dimensional segmentation of teeth and a mandible in the CBCT image through a deep learning algorithm, and obtaining a tooth and mandible segmentation result; s2, acquiring a reference dental arch line for representing the dentition condition of the patient based on the segmentation result; s3, adjusting the dental arch line of each layer of slice containing the segmentation result based on the segmentation result and the reference dental arch line; and S4, extracting panoramic slice data from the CBCT image according to the dental arch line of each layer of slice, and generating a panoramic curved surface fault slice. According to the method, by means of the segmentation result, the oral cavity panoramic image with the target anatomical structure is accurately extracted from the CBCT image, a dentist can conveniently measure the length, the angle and the like, the adjacent relation of the dentition periphery can be conveniently observed, meanwhile, radiation absorption of secondary shooting is avoided, and the imaging accuracy is improved. And the problems of poor patient cooperation, inaccurate focusing positioning and the like during panoramic actual shooting are solved.

The invention provides an oral ceramic restoration optical prediction matching method and system based on deep learning, relates to the technical field of oral medicine, and solves the limitation problems that existing oral restoration is low in clinical colorimetric accuracy, depends on artificial experience, has medical technology communication information deviation and the like. The method comprises the following steps: acquiring spectral data of natural teeth, dentin, enamel and different types of ceramics, and calibrating the semi-permeability of enamel and ceramic samples by using an extinction coefficient; obtaining a ceramic-dentin complex and composite spectrum data thereof, constructing a multi-layer sensor model and completing training; and splicing the dentin spectral data and the ceramic spectral data into an initial input vector, splicing the initial input vector with the calibrated semi-permeable constraint vector, and inputting the spliced initial input vector into a multi-layer sensor model to obtain a model matching result. The intelligent model for automatically generating the natural tooth defect repair scheme is established based on the deep learning technology, the intelligent repair design and the visual repair effect are achieved, and clinical application is effectively guided.