40 results about "Conventional medicine" patented technology

The invention provides an external application medicine for incontinent dermatitis and a preparation method thereof. The composition is prepared from active ingredients such as a radix sophorae flavescentis extract, calamine, vitamin E, ceramide, a herba portulacae extract, glycyrrhizic acid, chitosan and colloidal oat powder according to a specific proportion. Moisturizing matrixes such as sodium hyaluronate and glycerol and functional components such as tea tree essential oil are supplemented. And through a preparation process of matching high-speed shearing with ultrasonic dispersion, uniform dispersion and stability of each component are ensured. Experimental results show that the composition shows a remarkable synergistic effect in the aspects of anti-inflammation, antibiosis, skin barrier repair and the like, the comprehensive relieving and repairing effect of the composition is superior to that of a conventional drug control, and all the components and a special preparation process are necessary for achieving the optimal effect. The product has no irritation to human skin, is good in safety, can be prepared into various dosage forms such as cream, hydrogel or spray, and is suitable for nursing and repairing sensitive skin.

The invention discloses a medicine adding device used in cooperation with a hemodialysis machine and a using method of the medicine adding device. The medicine adding device used in cooperation with the hemodialysis machine comprises a blood pipeline and a medicine adding device, the first medicine adding assembly comprises a bin body, a first medicine liquid guide pipe and a flow control assembly. During use, medicine entering the bin body can be slowly injected into the blood pipeline through the first medicine liquid guide pipe by adjusting the flow control assembly. Under an original conventional medicine adding mode, medicine injected into blood at a time through an injector can be slowly injected into the blood when the first medicine adding assembly of the medicine adding device is adopted for medicine adding, so that the medicine can flow into the blood slowly and more dispersedly, is more fully and uniformly mixed with the blood and then flows back into the body of a patient along with the blood successively, and the medicine adding effect is good. A better treatment effect is achieved; and meanwhile, for the medicament needing to be slowly injected, medical personnel do not need to slowly push the piston of the injector to slowly move to inject the medicament, so that the operation difficulty of slowly injecting the medicament is reduced.

The application discloses a dynamic prototype multi-model medical image classification method based on feature credibility evaluation, and relates to the technical field of medical image processing.The method effectively solves the problems in traditional medical image subtype classification, such as lack of high-quality labeled data, high uncertainty of pseudo-labels, and difficulty of static prototypes in adapting to dynamic changes of lesions, and the like.Through construction of a multi-structure feature extraction network and completion of hierarchical feature fusion, the method combines feature cross learning, local attention modeling and expanded convolution to supplement context information, and strengthens semantic consistency and structural continuity of lesion region features.Meanwhile, the method constructs a spatial similarity graph through cosine similarity, and models and fuses a spatial uncertainty graph with any and cognitive uncertainty based on a Dirichlet distribution, obtains a reliable evidence graph through exponential fusion, and generates a pseudo-label with sample-level confidence, so that effective supervision information is accurately screened from a feature level, cumulative deviation of false pseudo-labels is greatly reduced, and stability of a semi-supervised learning process is improved.

This utility model discloses a sterilization device structure, comprising: a storage box, which is electrically connected to a circuit board and a control panel, and has an internal accommodating space with an opening and a storage recess and a storage container recess at the lower end. The accommodating space is equipped with at least one box light; a front door with the opening; a fan disposed in the storage box; a lower partition disposed at the upper end of the storage recess and the storage container recess, and a row of fans fixed to the space between the storage containers below it; at least one spray module disposed in the lower partition; at least one movable shelf disposed in the middle section of the storage box; a lower shelf disposed in the lower section of the storage box; one or more sets of medicine containers disposed in the storage recess and corresponding to the spray module; and an air purification module disposed in the storage container recess. This invention solves the problem that conventional medicines cannot be finely atomized and cannot reach the inner and outer surfaces of shoes through airflow.

This invention belongs to the field of medical education, specifically relating to a dynamic intelligent evaluation system for the learning behavior of medical students that integrates AI methods. The system includes: a multi-source data acquisition module for collecting learning behavior data; a data preprocessing and fusion module for data cleaning, standardization, and correlation; a multimodal fusion analysis module that uses a multimodal fusion model to map the learning behavior data into dynamic quantitative scores for the student's ability dimensions; and an evaluation and feedback module for generating dynamic profiles of individual and group abilities, knowledge reinforcement suggestions, and learning path suggestions based on the dynamic quantitative scores. This addresses the problems of evaluation lag and strong subjectivity inherent in traditional medical education evaluation methods.

This invention discloses an adaptive motion decomposition method for medical image registration, belonging to the field of medical image analysis technology. The method includes: constructing a primary medical registration model based on the Transformer motion decomposition module and the adaptive recursive module; training the primary medical registration model using a loss function to obtain a final medical registration model after training; inputting a fixed image and a moving image into the final medical registration model; and finally outputting a full-resolution fine deformation field to achieve registration between the moving and fixed images. This invention overcomes the limitations of traditional medical registration by improving the Transformer motion decomposition-based medical registration model, enabling it to automatically achieve different degrees of refinement decomposition for complex medical images in different regions, thereby improving the accuracy and efficiency of medical registration.

The invention discloses an online inquiry processing method and device, electronic equipment and a computer readable medium, relates to the technical field of e-commerce and internet medical treatment, and compared with a conventional medicine purchasing process that a user selects a drugstore for performance, the online inquiry processing method has the advantages that multiple drugstore terminals capable of performing the performance are pushed to a doctor through a doctor terminal, and the efficiency of medicine purchasing is improved. After a doctor selects a dosage form and a pharmacy terminal, traditional Chinese medicine is prepared, a prescription is made, and then the pharmacy terminal selected by the doctor carries out prescription filling, production, performance and delivery, so that a rapid medicine purchasing mode based on online traditional Chinese medicine inquiry is realized, the traditional Chinese medicine inquiry medicine purchasing process is simplified, the online inquiry processing efficiency is improved, and a closed loop of traditional Chinese medicine inquiry and medicine purchasing is realized.

The application relates to the technical field of data query, and particularly discloses a data query method for a medical experiment system, which comprises the following steps: step S1: establishing a medical experiment report library, binding structured stored experiment information for each piece of experiment data, including experiment object attributes, a detection index set, experiment condition parameters and experiment conclusion keywords; step S2: constructing a knowledge graph based on the experiment information, taking the experiment object attributes as root nodes, the detection index set as secondary nodes, the experiment condition parameters as tertiary nodes, and generating semantic relationship edges between nodes according to the experiment conclusion keywords; and step S3: analyzing an abstract query sentence input by a user, mapping the abstract query sentence to corresponding nodes and semantic edges of the knowledge graph, and returning matched experiment data through path traversal; the method solves the problems of semantic understanding difficulty and insufficient correlation analysis in traditional medical data query, and significantly improves the query efficiency and accuracy.

The invention discloses a medicated diet composition for improving haemorrhoids and a preparation method thereof, and belongs to the field of traditional Chinese medicine, the medicated diet composition is specially used for qi deficiency and blood deficiency type haemorrhoids, and the medicated diet composition is prepared from the following raw materials in parts by mass: 15-30 parts of hairyvein agrimony, 50-80 parts of streaky pork, 15-30 parts of astragalus membranaceus, 10-20 parts of angelica sinensis, 6-10 parts of rhizoma cimicifugae, 100-150 parts of Chinese yam, 6-10 parts of pericarpium citri reticulatae and 10-15 parts of hawthorn. The traditional Chinese medicine composition realizes precise conditioning of homology of medicine and food, not only exerts the treatment effects of tonifying qi and lifting, nourishing blood and stopping bleeding through the medicinal materials, but also supplements nutrition and assists in improving the qi and blood deficiency state by means of food materials, solves the problem that patients of the type need long-term independent conditioning after conventional medicine treatment, and gives consideration to the synergistic effect of treatment and deficiency tonifying.

The invention discloses a flight personnel health management method and system for vestibular function inspection abnormity, and relates to the technical field of flight personnel management, and the management method comprises the steps: obtaining a multi-source health data set of a target flight personnel, constructing a load characteristic variable, and carrying out the synchronous storage; according to the load characteristic variables, performing screening normalization processing action, and inputting the processed data to a pre-constructed linear evaluation model; according to the technical key points, a linear weighting model is adopted in the operation management method, the initial flight adaptability is output, and a flight adaptability threshold value is set, so that on one hand, rapid grading and discrimination of the health adaptability of the flight personnel are realized, and the continuous operation efficiency of the high-confidence flight adaptability personnel is guaranteed; and on the other hand, the preliminary evaluation mechanism is used as a condition triggering tool, and related processes of VEMP supplementary inspection are activated under corresponding conditions, so that the problems of low efficiency and overweight medical burden caused by one-time cutting in traditional medical screening are solved, and the effects of on-demand detection and accurate starting of resource optimization configuration are achieved.

The invention provides a traditional medicine AI translation engine, which converts literatures such as traditional Chinese medicine and Ayurbark from a concept space to a modern medicine semantic space. A neural machine translation and semantic mapping combined double-stage method is adopted, ancient Chinese, Sanskrit and the like are translated firstly, then a traditional concept is automatically annotated as a modern term (such as liver depression and qi stagnation)-liver dysfunction caused by emotion depression), and a knowledge graph associated entity is constructed. And multi-language and multi-format output is supported, and semantic annotation teaching materials or computable knowledge data are generated, so that non-traditional Chinese medicine background researchers can understand medical cases and take the medical cases into evidence-based research. International propagation and academic mining of traditional medicine are promoted, traditional Chinese medicine digitization is assisted, and great strategic significance is achieved.

The invention belongs to the technical field of biological agents, and particularly relates to application of Roseburia inulinivorans in preparation of a medicine for treating and / or preventing enteritis. The invention finds that the intestinal bacteria Roseburia inulinivorans can improve ulcerative colitis by adjusting the steady state of microorganisms, protecting the integrity of intestinal barriers and maintaining the steady state of immunity. According to the application, the curative effect of Roseburia inulinivorans on colitis is comprehensively evaluated, and the Roseburia inulinivorans has the functions of resisting inflammation, recovering immune balance, resisting oxidative stress, resisting pyroptosis, regulating bile acid metabolism, relieving endothelial dysfunction and intestinal ecological dysfunction and the like, and particularly, the Roseburia inulinivorans can achieve the treatment effect the same as that of a clinical conventional medicine mesalazine. And meanwhile, the Roseburia inulinivorans has no side effects, so that the Roseburia inulinivorans have no side effects. Therefore, the Roseburia inulinivorans is very likely to become a good candidate drug for improving the ulcerative colitis.

The invention relates to the technical field of digital medical information processing, in particular to a digital diagnosis and treatment-oriented Chinese character knowledge graph construction method, which comprises the following steps of S1, performing acquisition, sentence segmentation, word segmentation, character standardization and entity labeling on a multi-source medical text, and generating a text set with structured entity information; and S2, extracting a stroke sequence and structural information of each Chinese character in the text to establish font representation, and constructing a font similarity relation graph to represent structural similarity and component sharing relation between characters. According to the method, accurate construction of the character-level medical knowledge graph is realized through structured processing and consistent mapping of fonts and semantics of the multi-source medical text, so that the problems that most traditional medical knowledge extraction methods are based on word-level modeling, and the medical entity recognition precision is insufficient due to the lack of structural semantic association of a font level are solved.

The invention provides a concept-semantic migration clinical auxiliary system which maps traditional medical diagnosis (such as liver fire hyperactivity) to a modern medical semantic space and automatically prompts corresponding western medicine examinations (ALT, blood pressure and the like). Based on a DIKWP semantic model, the system performs parallel reasoning on western medicine diagnosis and a traditional conditioning scheme, and an intelligent layer comprehensively outputs traditional and western medicine combined optimization suggestions. A doctor interface visually displays a mapping result and a joint scheme, and supports interactive adjustment. The system helps doctors to quickly convert traditional diagnosis into quantitative basis, avoids missed diagnosis, and improves comprehensiveness and personalization of diagnosis and treatment decisions. The system is suitable for hospital outpatient service, multidisciplinary consultation and basic telemedicine, promotes cooperation of traditional Chinese medicine and western medicine, and has wide application prospects and intellectual property values.

This item is a portable and storable Shirodhara treatment device used to perform Shirodhara, a treatment method of Ayurveda, a traditional medical system originating in India and Sri Lanka, in which heated oil or other substances are dripped onto the forehead or between the eyebrows of the person receiving treatment.

1. The name of the design product: hand peeling machine. 2. The use of the design product: the design product is used for stripping of medicine from conventional medicine plates. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1.

The invention relates to an internet hospital diagnosis and treatment method and system for contemporary AI fusion medicine, and the method comprises the steps: constructing a traditional medicine AI diagnosis disease sequence model and a modern medicine AI diagnosis disease sequence model in the system in advance, and constructing a traditional medicine AI diagnosis disease sequence and a modern medicine AI diagnosis disease sequence of a patient based on the models, further constructing a contemporary AI fusion medical disease sequence of the patient, and before a treatment scheme is determined, selecting a disease needing to be treated and a treatment mode from the contemporary AI fusion medical disease sequence by the patient, so that a contemporary AI fusion medical system performs artificial intelligence processing and determines an auxiliary treatment scheme.

The utility model discloses a solid preparation medicine bottle convenient for administration. The solid preparation medicine bottle comprises a bottle body and a bottle cap, wherein a structure for limiting the total amount of single administration is arranged in the bottle body; the bottle opening of the bottle body is provided with a structure for limiting the single-time administration dosage, and the bottle opening and the bottle body are matched with each other to achieve the purpose of convenient administration. The structure for limiting the total single-time administration amount comprises an administration bin, a sliding rail, a sliding knob, a connecting rod and a bottle opening outer wall extension arm. The structure for limiting the medicine outlet amount of single-time medicine administration comprises a bottle opening medicine blocking module, and the bottle opening medicine blocking module provides resistance in the medicine administration process so that it can be guaranteed that the reasonable medicine outlet amount can be obtained under the controlled condition of medicine in a medicine administration bin. According to the technical scheme, the medicine feeding defect of a conventional medicine bottle in the prior art is overcome, and the medicine bottle is wide in use scene and suitable for people of all ages.

The invention provides a lower limb vascular medical image classification method based on multi-modal feature fusion, and relates to the technical field of computer vision. According to the method, accurate segmentation of a vascular structure is cooperatively completed in a unified model by means of a multi-modal feature depth fusion framework. Through collaborative optimization of an MDFA multi-scale cavity fusion attention mechanism and a BFM dual-channel feature interaction module, the severity of vasculopathy and the evolution law of the vasculopathy after intervention are learned from two levels of pixel-level accurate outlining of vascular morphology and multi-dimensional risk layering of clinical prognosis. Compared with a traditional medical image segmentation and classification process, the blood vessel segmentation accuracy is improved, meanwhile, accurate prediction of the curative effect of a postoperative patient can be assisted, and the system efficiency and reliability of vascular disease diagnosis and treatment decisions are remarkably improved.

The invention relates to the technical field of medicines, in particular to application of a vitamin B compound in preparation of an anti-dizziness medicine, the vitamin B compound is adopted for preparing the anti-dizziness medicine, and the residual dizziness symptom can be effectively relieved; through quantitative verification of a fatigue score vertigo disorder scale (DHI), negative effects of vertigo on daily activities, emotions and functions of a patient can be reduced; moreover, compared with conventional medicines such as betahistine, the pharmaceutical composition is safer for pregnant women, children, old people and patients with special medical history, and is beneficial to improving the medication compliance of otolithiasis patients.

The invention discloses a gynecological cleaning solution and a preparation method thereof, and the cleaning solution comprises the following components in percentage by weight: 0.85%-1.05% of modern medical composite components, 6.0%-7.0% of traditional medical multi-stage extracts, 11.0%-13.0% of a functional auxiliary material system and the balance of purified water. The modern medical composite components comprise 11 components such as chlorhexidine gluconate, the traditional medical multi-stage extracts comprise 6 extracts such as sophora flavescens total alkaloids, and the functional auxiliary materials comprise a humectant, an emulsifier and the like. The preparation method comprises the steps of multi-stage pretreatment of medicinal materials, gradient extraction, refining and purification, nano embedding of modern components and preparation forming. The cleaning solution can efficiently inhibit and kill bacteria, fungi, trichomonad and the like in a broad spectrum, repair vaginal mucosa and maintain micro-ecological balance, has synergistic interaction of traditional Chinese medicine and western medicine and few adverse reactions, is suitable for various gynecological infectious diseases, and has good clinical application value.

The traditional Chinese medicine hopper comprises a front panel, a back panel and two side panels, a bottom panel is fixedly connected, an opening is formed in the upper portion of the bottom panel, the two side panels are parallel, the height of the front panel is lower than that of the back panel, a medicine identification label is arranged on the front panel and used for displaying information and bar codes of medicine, and a medicine taking opening is formed in the front panel. The medicine taking opening is movably connected with a medicine taking door. The height of the front panel is lower than that of the back panel, and the medicine feeding port is larger than that of a conventional medicine hopper, so that medicine feeding is facilitated; the front panel is provided with the medicine taking opening, the medicine taking door is opened, medicine at the high position can be taken conveniently, and working efficiency is improved.

The application provides an auricular point positioning method, a positioning device and a storage medium, and comprises the following steps: acquiring a human ear image; detecting the human ear image based on a pre-established auricular point detection model to label a physiological structure region on the human ear image; analyzing the physiological structure region to obtain distribution points of each auricular point to obtain an ear sticker navigation map; and enabling a user to apply an ear sticker on a target auricular point according to the ear sticker navigation map. In the application, the positions of standard defined auricular points are accurately found in different ears by combining AI technology. The auricular point positioning is convenient to use, and the knowledge and experience requirements of the user are greatly reduced. The traditional medicine and AI are combined, the auricular point knowledge can be more accurately inherited, and the ear sticker correction function helps the user to accurately use the ear sticker, and the treatment effect is guaranteed.

The invention provides a training method and system based on guidance imagination training in combination with music stimulation. The training method comprises the following steps: firstly, collecting oxyhemoglobin concentration values of prefrontal cortex layers of two sides of a user through an fNIRS instrument; the user is guided to carry out motor imagery training by matching music stimulation with various sensory stimulation; then inquiring whether the user completes the training task or not, judging the reply of the user by using biological recognition, and collecting the HbO concentration value of the PFC region on the two sides again when the user finishes training; the training effect is evaluated by comparing the concentration values before and after training; the rehabilitation exercise device is used for better combining motor imagery training and five-element music. Rehabilitation exercise combining modern medical motor imagery training and traditional medical five-tone therapy is achieved, the depression psychology of a patient is improved, significant significance is achieved, and meanwhile the defects that training effect evaluation is not visual enough and lacks objective basis can be effectively overcome by extracting, analyzing, processing and displaying signals of a brain functional area.

The application discloses a medical report generation method based on dual-branch feature fusion. Traditional medical image report automatic generation methods usually only use convolutional neural networks to extract image features, focus on local details, and cannot capture global relationships well. Therefore, the application first proposes a medical image report generation method based on dual-branch feature fusion (Dual-Branch Feature Fusion Network for Medical Report Generation, DBFFN), which combines the advantages of Transformers and convolutional neural networks to extract global features and local features of medical images, captures global relationships, and focuses on local subtle semantic information. A multi-scale feature fusion module (Multi-Scale Feature Fusion Module, MSFFM) is designed to align image features and fuse semantic information. A large number of experiments on the IU-X-Ray dataset prove the effectiveness of the DBFFN model and the MSFFM fusion module proposed by the application.

The invention discloses a GAN-based medical image enhancement method. The method comprises the following steps: designing a CNN architecture based on hepatic lesion classification; performing traditional medical image data enhancement; generating a hepatic lesion image through the GAN; and carrying out data enhancement and model training on the medical image based on the GAN. According to the invention, the generative adversarial network is utilized to generate a high-quality synthetic medical image, especially a hepatic lesion image, so that the problems of small sample size and unbalanced category of a data set are solved. A training data set is expanded by generating a realistic lesion image in combination with a classical data enhancement method (such as rotation, flipping, translation and zooming). The liver lesion classification CNN architecture design comprises three convolutional layers, two full-connection layers and a Dropout layer to extract effective features and prevent overfitting. A comprehensive data enhancement and model training strategy comprises the combination of a GAN generated image and a traditional enhanced image, the selection of training parameters and the setting of monitoring indexes, and the effectiveness of model training and the improvement of classification performance are ensured.

The invention discloses a portable diagnosis and treatment box for general medicine, which belongs to the field of medical instruments and comprises a box body, a first sliding plate, a second sliding plate, a first drawer and a second drawer. Horizontal sliding and 0-180-degree rotation of the drawers are achieved through sliding plate-pin shaft-notch linkage so as to optimize space utilization and material taking, the first drawer is provided with the storage grooves for storing conventional medicine instruments in a classified mode, and the second drawer comprises the medicine storage box with the controllable temperature and humidity and the disinfection groove with the ultraviolet disinfection lamp. A backpack belt, a lifting belt, a solar panel and a door plate capable of being unfolded to form an operation table are further arranged, the problems that an existing diagnosis and treatment box is poor in space layout, special medicine is difficult to store and the like are solved, and general medical out-call requirements are met.

The invention provides a cross-culture medical semantic ontology fusion system, which constructs a unified semantic space of medical systems such as traditional Chinese medicine, Ayurbark, Western medicine and the like based on a DIKWP five-layer model, and realizes lossless alignment and intelligent interoperation of multi-source medical concepts. According to the system, traditional terms such as kidney-yang deficiency and Dosha imbalance are bidirectionally converted with a modern medical semantic structure, a semantic gap is eliminated, and cross-language diagnosis and treatment reasoning and knowledge retrieval are supported. And generating a multi-medical-view diagnosis and treatment scheme by fusing a decision support engine. The system promotes fusion and maintains cultural medicine speaking right while keeping semantic independence of each system, provides key technical support for intelligent medical treatment, can be applied to a traditional and western medicine combination platform and a traditional medical education and multi-culture decision system, and has important strategic value and wide application prospect.

The invention belongs to the technical field of biomedical treatment, and particularly relates to an application of Roseburia inulinivorans. The invention provides an application of Roseburia inulinivorans in the preparation of a medicine for treating and / or preventing diabetes mellitus, and a preparation method of the Roseburia inulinivorans. The intestinal bacteria Roseburia inulinivorans can relieve type 2 diabetes mellitus by adjusting intestinal microorganisms and metabolites thereof, protecting the integrity of intestinal barriers and improving the inflammatory state and insulin resistance, particularly, the curative effect of the intestinal bacteria Roseburia inulinivorans is close to the therapeutic effect of a clinical conventional medicine metformin, and the intestinal bacteria Roseburia inulinivorans are small in side effect, more stable in therapeutic effect, small in economic burden and more suitable for application and popularization.

This invention discloses a medical text classification testing method, device, and storage medium, belonging to the interdisciplinary field of natural language processing and machine learning. The method includes: inputting acquired medical case text data into a pre-constructed medical text classification model for feature vector extraction to obtain medical text feature vectors; based on the medical text feature vectors, using a metaheuristic algorithm to globally optimize the hyperparameters of the medical text classification model to obtain a globally optimized hyperparameter combination; according to the globally optimized hyperparameter combination, using Bayesian optimization to fine-tune the local hyperparameters of the medical text classification model to obtain an optimized medical text classification model; and applying the medical text classification model to obtain text classification test results. This invention solves the problems of high false negative rates and low classification accuracy in traditional medical text classification methods, significantly improving the accuracy and efficiency of medical text classification.