2168 results about "Oral problems" patented technology

The invention relates to a CBCT image tooth segmentation method. The method comprises the following steps: generating a two-dimensional oral cavity panoramic film from a CBCT image; carrying out tooth two-dimensional segmentation and tooth ID classification on the two-dimensional oral cavity panoramic film by adopting a deep learning algorithm; calculating a key point coordinate of a two-dimensional single tooth and mapping the key point coordinate to a three-dimensional CBCT image coordinate; respectively cutting the CBCT image to obtain an area of each tooth; segmenting each three-dimensional tooth region by adopting a deep learning algorithm; and assigning ID to all the tooth segmentation results, and splicing to obtain a three-dimensional tooth segmentation result. According to the method, accurate segmentation of the tooth area in the CBCT image can be realized, complex conditions such as tight tooth arrangement, similar shapes and artifact interference can be effectively handled, the problems of tooth segmentation result fusion, ID confusion and metal artifact interference can be effectively solved, and resource consumption is remarkably reduced by determining the tooth key points on the panoramic film, so that the tooth segmentation efficiency is improved. The overall segmentation efficiency is improved, and the segmentation time is shortened, so that the accuracy of the segmentation result and the processing speed are improved.

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 present disclosure relates to a dental scanning system for generating a digital three-dimensional representation of a dental object, the system comprising an intraoral scanning device comprising one or more projector units configured to project a pattern on a surface of the dental object; and two or more cameras configured to acquire one or more sets of images; wherein the scanning system further comprises one or more processors configured to determine one or more image features within each set of images; solve a correspondence problem within each set of images such that points in 3D space are determined based on the image features, wherein said points form a solution to the correspondence problem, wherein the correspondence problem is solved for groups of pattern features; and generate a digital three-dimensional representation of the dental object, wherein the solution to the correspondence problem is used to generate the three-dimensional representation.

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 utility model discloses a tooth washing device with an automatic water injection function and a water outlet device, which comprise a handheld tooth washing device and a base, the tooth washing device is provided with a water storage tank, and the tooth washing device is arranged on the base in a removable manner; the water inlet mechanism is connected with the circuit board; a water passing hole is formed in the bottom of the water storage tank, a water stop piece is installed at the water passing hole, and the water stop piece opens the water passing hole when the oral irrigator is arranged on the base and closes the water passing hole when the oral irrigator is lifted; when the water passing hole is opened, the water passing hole is communicated with the water inlet end of the water inlet mechanism, so that water is injected into the water storage tank when the water inlet mechanism is opened. The water storage tank has an automatic water injection function, so that manual water injection of a user is avoided, the user can use the water storage tank more conveniently, and the problem that the water storage tank is difficult to be filled with water can be 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.

According to the novel mandibular protraction appliance and the digitization-based manufacturing method thereof, a vestibular shield is arranged on the lip side of the lower anterior teeth of the mandibular protraction appliance, and the appliance can effectively seal the oral cavity and improve the dry mouth symptom possibly occurring when a traditional mandibular protraction appliance is worn; the common mouth breathing problem of patients with obstructive sleep apnea hypopnea syndrome (OSAHS) is solved, and the limitation of lip inclination of lower anterior teeth caused by a traditional mandibular advancement appliance is reduced more remarkably.

The utility model discloses an implant tooth guide plate which comprises a guide plate body, a clamping groove is formed in the inner side of the guide plate body, a positioning steel sheet is installed in the clamping groove, a positioning hole is formed in the positioning steel sheet, and a moving groove is formed in the connecting position of the positioning steel sheet and the clamping groove. Positioning bolts are installed at the two ends of the sliding rod correspondingly, a limiting block is installed at the other end of the guide plate body, and an elastic strip is installed in the limiting block. Compared with an existing device, the dental implant guide plate has the advantages that the position of the positioning steel sheet can be conveniently moved through the moving groove, so that the positions of the positioning steel sheet and the positioning holes can be finely adjusted according to actual requirements, the positioning holes are accurately aligned with teeth of a patient, and the guide plate body and the sliding rod can mutually stretch and retract, so that the width of the guide plate can be conveniently adjusted; the guide plate can be better matched with the oral cavity of a patient, and the problem that the overall use cost rises due to the fact that each patient needs a guide plate corresponding to the patient is solved.

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 utility model provides a multi-specification oral liquid bottle boxing device which comprises a rack, a middle-layer frame is arranged above the rack, a box conveying line is arranged on the middle-layer frame, a bottle conveying line is arranged on one side of the box conveying line, a top-layer frame is arranged above the middle-layer frame, and a transverse moving force is arranged on one side of the top-layer frame. According to the device, each grabbing head is provided with an independent motor, the distance can be freely adjusted, the device can easily adapt to diversified product sizes, the universality and market competitiveness of the device are enhanced, and the device is convenient to use, high in practicability and suitable for large-scale popularization and application. The problem that in the background technology, each grabbing head cannot be freely adjusted is solved.

The invention relates to the technical field of dental restoration, and discloses a digital customized preformed crown and bridge restoration manufacturing method, which comprises the following operation steps: S10, data import and preprocessing: establishing an order in 3shape software, importing high-quality intraoral scanning data, preprocessing the scanning data to ensure the accuracy and integrity of the data, and storing the data in a database; a basis is provided for subsequent design; and S20, performing virtual tooth extraction and accurate design: performing virtual tooth extraction operation, ensuring that the adjacent surface and the root are smooth after tooth extraction, avoiding excessive repair or false repair, accurately repairing the edge line and the adjacent surface of the digital customized preformed prosthesis by referring to original working mold data, and performing back-cutting according to a target form before restoring a virtual prepared abutment form. According to the manufacturing method of the digitally customized preformed crown and bridge prosthesis, the problems that the existing finished preformed crown is single in variety, natural and inconsistent in appearance and color with the interior of the mouth, the precision is low, and the prosthesis is not matched with the abutment in position are solved.

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.

An expansion-type root canal filling medical instrument combination based on tooth root tip biological sealing, and a use. The medical instrument comprises a sealant composition and a titanium material root canal obturating point; the sealant composition is composed of a liquid agent, component-A powder, and component-B powder that are isolated from each other before use, the component-A powder comprises 75%-95% of tricalcium silicate and 5%-25% of β-tricalcium phosphate, and the component-B powder is composed of 45%-55% of nano zirconium dioxide, 44.7%-52% of calcium hydroxide, and 0.3%-3% of calcium oxide; the surface of a root canal section (1) of the titanium material root canal obturating point is provided with a thread (102) tending to be horizontal, and a thread groove of the root canal obturating point is used for being filled with a prepared sealant; the surface of a dental crown section (2) is provided with a retention groove section. The medical instrument combination solves the problems of root canal treatment failure or poor long-term effect and the like caused by volume shrinkage after existing sealants and gutta percha points are filled, and can realize high-safety, high-biocompability, high-quality and high-density root canal filling.

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.