57 results about "Medical practice" patented technology

The utility model relates to the technical field of medical practice tool assembly, in particular to a medical injection practice pen automatic assembly line which comprises a circulating conveying mechanism, a positioning mechanism, a shell feeding mechanism, a needle cylinder assembly mechanism, an inner piston assembly mechanism, a cam sleeve assembly mechanism, an inner spring assembly mechanism and a tail cover assembly mechanism. Conveying jigs are conveyed on the circulating conveying mechanism, and the positioning mechanism is used for positioning the conveying jigs on the circulating conveying mechanism. The circulating conveying mechanism is used for driving the conveying jig to sequentially pass through the shell feeding mechanism, the needle cylinder assembling mechanism, the inner piston assembling mechanism, the cam sleeve assembling mechanism, the inner spring assembling mechanism and the tail cover assembling mechanism. The shell feeding mechanism is used for placing shells and piston sleeves on the conveying jig. The problems that existing manual assembly is low in efficiency and high in difficulty are solved. The production capacity is greatly increased, the production cost is reduced, and mass production is facilitated.

The utility model relates to the technical field of medical practice tool assembly, in particular to a medical injection practice pen piston assembly line which comprises a conveying mechanism, a positioning mechanism, an inner piston assembly mechanism, a cam sleeve assembly mechanism and an inner spring assembly mechanism. The inner piston assembling mechanism comprises a transparent sleeve feeding mechanism, a piston rod feeding mechanism, a cam rod feeding mechanism, an assembling rotary disc mechanism, a pressing mechanism and a material taking and assembling mechanism. A conveying jig is conveyed on the conveying mechanism, a piston sleeve is placed on the conveying jig, and the positioning mechanism is used for positioning the conveying jig on the conveying mechanism; the cam sleeve assembling mechanism is used for grabbing and orienting a cam sleeve and then assembling the cam sleeve on a piston rod, and the cam sleeve assembling mechanism is used for grabbing and assembling a cam lantern ring on a cam rod; the problems that existing manual assembly is high in difficulty and low in efficiency are solved.

In some embodiments provided herein is a generative foundation model trained over millions of health system-scale electronic health records along with web-scale medical text corpora to acquire knowledge of both medical practices and theories, and use of the generative model for rare disease diagnosis (including rare ophthalmic, diseases and rare systemic diseases), emergency condition identification (including ophthalmic emergencies and systemic emergencies), complex disease solving ("diagnostic puzzles"), or generating multimodal medical imaging reports (including ophthalmic images and radiology images such as X-rays and CT scans). In some embodiments, the generative model involves the use of language data, for pre-training, language data for supervised finetuning using a instruction tuning approach (e.g., QA pairs), and a human-machine hybrid evaluation strategy. In some embodiments, both the pre-training and supervised finetuning phases involve the use of a particular method of scaling to extend the context window. In some embodiments, the human-machine hybrid evaluation strategy involves language data for automated evaluations, as well as evaluations by generalists and by different specialists (e.g., ophthalmologists and radiologists) of varying levels of experience. In some embodiments, the generative foundation model, MetaGP, is used for unmet clinical needs through integration of medical and multimodal imaging data.

This invention relates to a deep semantic analysis method and system for medical practice compliance. The method includes: acquiring multi-source heterogeneous medical data and medical compliance data; standardizing the medical data and medical compliance data; training a first AI model and a second AI model to judge the compliance of illegal medical practices based on the standardized medical data and clinical semantic elements; acquiring patient medical data and multimodal appeal materials in real time; dynamically prioritizing the appeal materials using a multi-factor weighting method based on the trained first AI model and second AI model; identifying evidence of medical practices from the multimodal appeal materials based on the priority classification results using a third AI model; and structuring the evidence of medical practices. This invention, through the collaboration of a rule base and interpretable AI, achieves multi-level judgment and accountability for illegal medical practices, improving the accuracy and automation of medical practice compliance review.

The invention discloses a clinical medicine practical skill multi-dimensional evaluation and analysis system, and relates to the technical field of clinical medicine education and skill evaluation, and the system comprises a multi-source data collection module which obtains operation and other multi-dimensional data; the data standardization preprocessing module unifies formats, corrects exceptions, encrypts and desensitizes; the data intelligent quantitative calculation module converts a quantitative result by using an algorithm; the multi-dimensional dynamic evaluation module constructs a three-dimensional model, sets three stages of periods, and combines AI and manual output scores; the personalized feedback module generates a report and a scheme and supports multi-scene data linkage; according to the method, multi-source data is integrated, the limitation of single data of traditional evaluation is broken through, the difficult-to-quantify ability is converted into objective indexes through an intelligent algorithm, a three-dimensional evaluation model and a three-level evaluation period are constructed, skill development is dynamically tracked, AI and manual rechecking are fused, efficiency and accuracy are balanced, and a personalized scheme and a multi-scene report are generated. And clinical medicine evaluation upgrading is promoted.

The invention relates to the technical field of medical education, and discloses a virtual simulation method for an interactive anesthesia crisis skill training scene, and the method comprises the following steps: constructing a high-fidelity operating room and a crisis processing scene in a virtual environment; physiological parameter changes of the patient are simulated in real time and fed back to the student interface; recording and analyzing operation steps, decision-making time and physiological feedback of the trainee in training; and the learning path of the trainee is dynamically adjusted through a multi-objective optimization algorithm, so that the training effect is enhanced. According to the invention, through a personalized learning path and a real-time feedback mechanism, the effectiveness of anesthesia crisis skill training is improved. Students practice in a vivid virtual environment, and the clinical decision-making ability and the operation accuracy are enhanced. Meanwhile, the system is continuously updated to ensure that the training content is consistent with the latest medical practice, high-quality medical professionals are cultivated, and the medical service quality is comprehensively improved.

The utility model relates to the technical field of medical practice tool assembling, in particular to medical injection practice pen piston needle cylinder assembling equipment which comprises a circulating conveying line, a positioning mechanism, a conveying jig, a piston cylinder feeding mechanism, a needle cylinder assembling mechanism and a material taking and assembling mechanism. The circulating conveying line is used for conveying a conveying jig, the positioning mechanism is used for positioning the conveying jig on the circulating conveying line, and the piston barrel feeding mechanism is used for feeding piston barrels to the conveying jig; the needle cylinder assembling mechanism comprises a needle cylinder feeding device, a first spring feeding device, a second spring feeding device and a rotating disc device, and a needle cylinder assembling jig is arranged on the rotating disc device. The piston needle cylinder assembling machine achieves automatic assembling of the piston needle cylinder, adopts full-automatic assembling, is high in assembling efficiency and is suitable for mass production. The problems that existing manual assembly is low in efficiency and high in difficulty are solved.

The invention discloses a clinical medicine practice skill evaluation system, and relates to the technical field of clinical medicine education, and the system comprises the following components: a comprehensive data processing module which collects and preprocesses real patient electronic medical record data and examinee multi-modal data, fuses all modal data features, cleans the electronic medical record data, and stores the cleaned electronic medical record data; providing data for subsequent modules; the personalized intelligent virtual patient is generated based on the electronic medical record data of the real patient, rich and diversified clinical simulation scenes are provided for examinees, the complexity and diversity of the real patient are achieved, the illness state can be adjusted in real time according to decisions of the examinees, the uncertainty and complexity of the clinical scenes are simulated, and the clinical simulation experience of the examinees is improved. The system has the advantages that the system is simple in structure and convenient to use, clinical thinking of examinees can be cultivated and improved in practice, the examinees can learn to make accurate judgment and decisions when the illness state changes, and meanwhile, the examinees can exercise the strain capacity of the examinees through interaction with virtual patients so as to better adapt to various challenges in actual clinical work.

The invention discloses an intelligent medical system based on multi-modal data fusion, and the system comprises a multi-modal data feature extraction module which is used for extracting the internal information of medical image data Fimg, pathological section data Fpath, text case data Ftext and voice case data Faudio; the inter-modal relationship analysis module is used for obtaining a visual consistency feature Fvis and a first association intensity mark of image-pathology fusion, obtaining a language consistency feature Flang and a second association intensity mark of text-voice fusion, and obtaining a key association feature Fcross representing the association intensity of vision and language and a third association intensity mark; and the fusion module is unified to obtain final judgment data. Aiming at the common problem of image and pathology inconsistency in medical practice, the method not only records consistency information, but also systematically analyzes various aspects of inconsistency, and provides more comprehensive reference for clinical decision making.

To confirm a factor that affects a result of a medical practice in a medical service support device, a method, and a program.SOLUTION: A processor acquires practice information including date and time related to a medical practice and information related to an index value related to the medical practice, the date and time being included in a reference target period, which is a target period for analysis of an increase or decrease in the index value, and a comparison target period, which is a target period for comparison of the increase or decrease in the index value, derives a difference between a first statistical value of the information related to the index value in the comparison target period and a first statistical value of the information related to the index value in the reference target period for each of a plurality of item values of at least one item, derives an influence degree on the increase or decrease in the index value in the reference target period relative to the comparison target period for each item value of the item on the basis of a second statistical value based on the practice information in the reference target period and the difference, and performs display processing for displaying the influence degree for at least one item value included in the item.SELECTED DRAWING: Figure 4

The present invention relates to an apparatus for accurately positioning a transcranial magnetic stimulation (TMS) coil over a target position on a patient's head. The apparatus includes a TMS coil with an integrated real-time display device that shows the position of the coil relative to the patient's head. A processor for calculating the coils spatial coordinates using a three-dimensional tracking method and transmitting the information to the display. A synchronization mechanism providing real-time updates of display as the TMS coil moves thus, providing immediate feedback to the operator. This enables precise alignment of the coil with the target position. The invention offers advantages by improving treatment accuracy, reducing errors and providing user-friendly, real-time feedback for precise coil positioning. The scope of the invention extends to clinical settings, brain research and therapeutic applications where it can enhance treatment consistency and support expanded uses of TMS in medical practice and research.

A processor acquires medical information including date information associated with a medical practice for a target patient and prediction date information for predicting a fall of the target patient, derives fall prediction information of the target patient using a prediction model that has been trained through machine learning to predict the fall of the target patient based on the number of elapsed days derived from the date information and the prediction date information, and notifies of the fall prediction information.

The present disclosure includes methods (100, 200) for improving surgical accuracy and effectiveness in medical procedures by using an augmented reality system (300). The method (100, 200) involves: generating a preoperative plan in an augmented reality environment by visualizing a holographic representation of a patient's anatomy; recording program data according to the preoperative plan; using the recorded data to update the augmented reality system; and applying the updated system to establish a continuously improved feedback loop. According to the method, by integrating real-time data feedback into the operation process, the accuracy of the operation is improved, the effect of the patient is improved, the program is optimized, and continuous improvement of medical practice is promoted.

The present invention discloses a CBCT three-dimensional image recognition method for adenoid size assessment, which relates to the technical field of medical practice and includes: calculating the volume of the adenoid after setting the boundary based on the CBCT image, enhancing and correcting the boundaries of the adenoid and the nasopharyngeal airway based on strip convolution, and the multi-scale feature fusion module outputs the volume and the evaluated size of the adenoid. The present invention enables one-stop processing from image data input to adenoid volume calculation through an automated system, accurately identifies the three-dimensional adenoid boundary based on the sine strip convolution model and automatically corrects it, combines the multi-scale fusion algorithm to output the volume ratio, and this method can eliminate the problems of manual calibration error and multi-software collaboration in traditional methods, ensure cross-patient data consistency, significantly improve efficiency, simplify the operation process on a unified platform, compress the traditional manual operation of several hours into fully automated minute-level processing, and provide a standardized and high-precision diagnostic tool for clinical practice.

The invention discloses a large language model system for optimizing an operation plan and resource allocation. The large language model system comprises a data acquisition and preprocessing module, a large language model training module, an operation plan optimization module, a resource allocation optimization module, a contest support module and a system integration and deployment module, a large amount of patient data can be automatically analyzed and processed by using an optimization system of a large language model, so that an operation plan and resource allocation are more efficient, accurate and consistent, a treatment scheme better meeting patient requirements can be provided, the operation effect and satisfaction degree are improved, and the patient experience is improved. The system can also carry out dynamic adjustment and optimization according to real-time data and feedback so as to cope with changing conditions, the system optimizes operation plans and resource allocation, operation waiting time and idle time of an operating room can be shortened, the utilization efficiency of resources of the operating room can be improved, training and optimization can be carried out by utilizing rich operation data, and the operation efficiency of the operating room can be improved. And standardization of medical practice and continuous quality improvement can be promoted.

The invention relates to the field of organ transplantation in biomedical technology, and particularly discloses normal-temperature perfusion protection liquid for thoracoscopic surgery training as well as a preparation method and application of the normal-temperature perfusion protection liquid. The components of the perfusion protection liquid mainly cover sodium chloride, carbohydrates, adenosine and dexamethasone. The perfusion protection liquid has the advantages that on one hand, the components of the protection liquid are simple, complex components of a traditional perfusion protection liquid are abandoned, and the raw material obtaining and economic cost is greatly reduced; and on the other hand, the perfusion protection liquid gets rid of the limitation of low-temperature storage and can be stably stored in a normal-temperature environment. Compared with the prior art, the perfusion protection liquid provided by the invention not only has simple components, but also breaks the constraint of cold chain transportation and low-temperature storage, solves the problems of complex components and harsh storage conditions of the existing protection liquid, provides a more convenient and efficient solution for thoracoscopic surgery training and even wider medical practice, and has broad application prospects. The method has a wide application prospect and an extremely high practical value.

The utility model relates to the technical field of medical practice tool assembling, in particular to a medical injection practice pen cam assembling mechanism which comprises a conveying mechanism, a positioning mechanism, a transparent sleeve feeding mechanism, a piston rod feeding mechanism, a cam rod feeding mechanism, an assembling rotary disc mechanism, a pressing mechanism and a material taking and assembling mechanism. A conveying jig is conveyed on the conveying mechanism, a piston sleeve is placed on the conveying jig, and the positioning mechanism is used for positioning the conveying jig on the conveying mechanism; an assembling jig is arranged on the assembling rotary disc mechanism, and the pressing mechanism is used for pressing and assembling a cam rod to a transparent sleeve and limiting a piston rod; the material taking and assembling mechanism is used for grabbing the assembled cam rod and assembling the cam rod and the transparent sleeve to the piston sleeve. The problems that existing manual assembly is high in difficulty and low in efficiency are solved.

The invention discloses a clinical medicine practice skill evaluation standard formulating system, and relates to the technical field of medical education evaluation, and the system comprises a system resource and authority presetting module, an evaluation content construction module, a user role responsibility clarification module, a multi-scene evaluation execution and data processing module, and an evaluation system dynamic optimization and sharing module. According to the method, on the basis of a clinical ability framework of a medical examination institution, examination outline requirements of clinical practitioners are integrated, clinical thinking and humanistic care dimensions are supplemented, a four-class eight-dimensional process evaluation mode is innovatively constructed, the problems that in traditional evaluation, the result is heavy, the process is light, and the evaluation dimension is single are solved, and the evaluation efficiency is improved. The four classes cover the learning and practice links of students, the eight dimensions further refine the specific evaluation indexes, and then are in butt joint with clinical skill training center equipment, multiple classes of teaching tools are integrated, and hardware and software support is provided for landing of four-class eight-dimension evaluation; the data of each dimension is obtained in real time in the scene inside and outside the school, and the comprehensive evaluation result is generated.

Systems, methods, and devices for medical practice management. Such embodiments can allow for communication between a practitioner, patient, caretaker, pharmacist, and / or other person responsible for care. Some embodiments include the ability to schedule appointments or other blocks of time for a physician's schedule. Some embodiments include artificial intelligence based systems that can provide diagnostic and / or prognostic capabilities and / or the ability to stratify patients based on risk and / or severity.

1. Name of the product in this design: Graphical User Interface for Medical Insurance DIP Management Decision System of Electronic Device. 2. Intended use of this design: for use in an electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: To display and analyze medical data under the DIP payment method, assist hospital management in decision-making, optimize resource allocation, monitor medical expenses, and supervise medical practices. The main view is the initial interface of the software. Click the Risk Analysis button in the main view to enter the interface change status diagram.

The utility model relates to the technical field of multi-angle installation of puncture outfits, and discloses a puncture outfit capable of being installed and used at multiple angles, the puncture outfit is provided with a clamping device and an auxiliary mechanism, the clamping device is used for fixing the puncture outfit, the auxiliary mechanism is used for enhancing the fixing effect of the puncture outfit, and the problem that in modern medical practice, the puncture outfit cannot be installed and used at multiple angles is solved. Although a puncture outfit serves as an important tool in the field of minimally invasive surgery, application of the puncture outfit in the long-time complex surgery process still faces a challenge that the risk of tissue damage is increased due to the fact that the puncture outfit slightly shakes in the continuous operation period, and therefore the overall efficiency and safety of the surgery are affected. The design of many puncture outfits in the current market always focuses on the convenience of puncture and the establishment of channels, but cannot fully consider how to effectively stabilize the puncture outfits and prevent vibration caused by natural breathing movement of a human body and surgical operation or slight displacement caused by the weight of instruments in the whole surgery process.

An information processing method according to an aspect of the present disclosure causes a computer to execute operations to thereby generate data for medical AI / drug discovery AI, the operations including: acquiring multiple image information (acquisition unit), in which each of the multiple image information is generated by a medical device having one or more imaging functions and private information contained in such image information has been subjected to an anonymization process (anonymization unit); acquiring multiple clinical information related to medical practice for a patient, in which private information associated with the multiple clinical information has been anonymized; selecting target image information suitable as data for medical AI / drug discovery AI from among the multiple image information, selecting target clinical information to be used as the data for medical AI / drug discovery AI from among the multiple clinical information (selection unit); associating disease information related to a disease and organ information related to an organ with the target image information and the target clinical information (association unit); and performing standardization on the target image information and the target clinical information (standardization unit).

A medical support robot includes: a storage that houses a medical instrument; at least one robotic arm including a tip including an end effector that handles the medical instrument; a traveling structure that supports the storage and the at least one robotic arm and travels; and circuitry that performs control that may comprising causing the traveling structure to move to a medical robot that is a robot that performs medical practice.

The utility model relates to medical equipment technical field, specifically disclose a detachable infusion regulator, including can combine and separate first side combination shell and second side combination shell, still include: connecting structure, set up one contact's edge portion of first side combination shell and second side combination shell, first side combination shell and second side combination shell can rotate around the edge portion and realize the opening and closing action, guide structure, fixedly arranged on the inner wall surface among first side combination shell and / or second side combination shell, all -round has promoted the practicality and reliability of infusion regulator, effectively solved the operation of traditional infusion regulator possibly existing, the problem such as inaccuracy of adjustment and stability deficiency, provided high -efficient, safe infusion operation tool for medical staff, greatly optimized infusion process, has important significance in medical practice.

The utility model discloses a simulation teaching model for simulating chest fluctuation, which comprises a chest simulation model, the surface of the chest simulation model is provided with a chest pressing fluctuation part, and the chest simulation model is internally provided with a pressing fluctuation assembly corresponding to the chest pressing fluctuation part. The pressing fluctuating assembly comprises a supporting seat, limiting sleeves and lifting fluctuating rods, the supporting seat is provided with at least one limiting sleeve, each limiting sleeve is provided with one lifting fluctuating rod in a lifting mode, and the top ends of the lifting fluctuating rods correspondingly abut against the chest pressing fluctuating part; a steering engine used for repeated lifting motion is further arranged between the chest pressing fluctuating part and the supporting base. The chest simulation device is provided with the chest simulation model and the pressing fluctuating assembly, the chest fluctuating motion is driven through the lifting and reciprocating motion of the steering engine of the pressing fluctuating assembly, the fluctuation of the chest of the human body is simulated, a real practice simulation scene is provided for medical practice of medical personnel, and the operation ability of the medical personnel is improved.

The invention discloses a peripheral plasma metabolism marker combination for evaluating whether atrial fibrosis exists in an atrial fibrillation patient or not and an evaluation method, and belongs to the technical field of biologication.The metabolism marker combination comprises suberic acid, epoxy eicosatrienoic acid, 9-hexadecenoic acid ethyl ester, 2, 2-dimethyl glutaric acid and succinamide, and the suberic acid, the epoxy eicosatrienoic acid, the 9-hexadecenoic acid ethyl ester, the 2, 2-dimethyl glutaric acid and the succinamide are sequentially added into the peripheral plasma metabolism marker combination. An AFMFI model is constructed based on an atrial fibrosis evaluation method of the metabolic marker combination and fibrosis prediction factors proved by medical practice. Compared with a single marker, the metabolic marker combination and the AFMFI model systematically solve the problems of insufficient sensitivity, invasive risk and high cost in the prior art.

The application provides a kind of aromatic Chinese herbal medicine composition for relieving dysmenorrhea, comprising the following components: Bai Zhi, clove, mugwort leaf, fennel, shanzhai, cassia, angelica, chuanxiong, rhizoma cyperi, costus, rose, osmanthus, styrax.The application selects 13 kinds of aromatic Chinese herbal medicine according to the symptoms of cold coagulation and blood stasis type dysmenorrhea, further makes a sachet for relieving cold coagulation and blood stasis type dysmenorrhea, and intervenes the patients with cold coagulation and blood stasis type dysmenorrhea, which shows that the sachet can relieve abdominal pain and dysmenorrhea accompanying symptoms of the patients, reduce the pain disaster level, and alleviate negative emotions, highlights the potential of various Chinese herbal medicine aromatherapy as a natural therapy for relieving dysmenorrhea, and the non-invasive and convenient multiple aromatic Chinese herbal medicine inhalation therapy has excellent tolerance.The application expands the application range of aromatic Chinese herbal medicine and aromatherapy, promotes the understanding and application of traditional Chinese medicine principles in modern medical practice, and helps to actively promote the inheritance and development of traditional Chinese medicine culture.

A processor acquires medical practice information including date and time related to a medical practice and information related to an index value related to the medical practice, derives a difference between a first statistical value of the information related to the index value in the comparison target period and a first statistical value of the information related to the index value in the reference target period for each of a plurality of item values of at least one item, derives an influence degree on the increase or decrease in the index value in the reference target period relative to the comparison target period for each item value of the item, based on a second statistical value based on the medical practice information in the reference target period and the difference, and performs a display process for displaying the influence degree for at least one item value included in the item.

To provide an information processing method, a storage medium, and an information processing device that allow medical data to be efficiently utilized.SOLUTION: A method generates data for medical AI / drug discovery AI by causing a computer to execute: acquiring a plurality of pieces of image information in each of which personal information included in the image information has been subjected to anonymization processing; acquiring a plurality of pieces of clinical information that are obtained by anonymizing associated personal information for medical practice for a patient; selecting target image information suitable as the data for medical AI / drug discovery AI from among the plurality of pieces of image information; selecting target clinical information to be used as the data for medical AI / drug discovery AI from among the plurality of pieces of clinical information; associating disease information related to a disease and organ information related to an organ with the target image information and the target clinical information; and executing standardization on the target image information and the target clinical information.SELECTED DRAWING: Figure 3

The application discloses a kind of based on attention mechanism's multimodal asynchronous timing prediction method and device, it is related to artificial intelligence auxiliary diagnosis and treatment technical field, wherein, prediction method includes: obtaining multimodal data in medical practice, and the obtained multimodal data is preprocessed;Nonlinear time series attention matrix and asynchronous time series prediction module based on simple attention mechanism are constructed;Based on asynchronous time series prediction module, time series attention matrix and the static feature and time series feature of multimodal data are input, the output static feature and time series feature are obtained and are spliced, and prediction result is obtained based on maximum pooling operation;According to the cross entropy loss between the obtained prediction result and multimodal data label, time series attention matrix and asynchronous time series data prediction module are iteratively trained;Based on the asynchronous time series data prediction module of training completion, multimodal asynchronous timing prediction is realized.The application is helpful to realize the early screening and prevention of disease.