68 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.

To provide a medical support method capable of making a medical instrument, such as an ultrasound probe and a stethoscope, autonomously contact with an appropriate position on a subject. A medical support method to be executed by a medical support robot device that performs medical practice to a subject using a medical instrument includes: a step (1) of imaging the subject at a plurality of imaging positions to acquire acquired three-dimensional point cloud information on the subject, two-dimensional image information, and imaging position coordinate information at each of the imaging positions, a step (2) of generating a single set of integrated three-dimensional point cloud information on the subject by using a plurality of sets of the acquired three-dimensional point cloud information and a plurality of sets of the imaging position coordinate information, a step (3) of determining a position of a specific site on the subject that is predetermined in a plurality of sets of the two-dimensional image information, and a step (4) of estimating a position of a diagnostic site on the subject that is subjected to the medical practice in the integrated three-dimensional point cloud information by using anatomical statistic information and the position of the specific site on the subject.

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.

An optimized lead generation, management, communication, and tracking system is disclosed. In particular, the system may allow for the automation of business, clinical, and computing activities for a practice, organization, business, or other entity. The system utilizes a comprehensive and robust online portal with digital software functions and digital communications capabilities to accomplish tasks that are traditionally performed by personnel or unable to be performed by personnel. For example, the system is capable of attracting, screening, and scheduling patients for procedures to be performed at a medical practice. Additionally, the system may communicate with a patient before and after a medical procedure, track patient outcomes after a patient undergoes a procedure, and calculate key performance metrics and indicators specific to the entity and / or the procedure. Notably, use of the system substantially reduces errors and costs associated with the operation of the entity, while simultaneously optimizing the use of computing resources.

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 invention provides a fully automatic device for taking a post-needle patch, comprising a shell, a post-needle patch taking port being provided on the shell, a post-needle patch placing device being provided in the shell, the post-needle patch placing device being located at one side of the post-needle patch taking port, a waste tape recovery device being provided in the shell, the waste tape recovery device being located below the post-needle patch taking port, a photoelectric sensor being provided at one side of the post-needle patch taking port, and a PCB control board being electrically connected to the photoelectric sensor being provided in the shell. The invention can realize automatic peeling of the adhesive patch from the waste tape without the user having to touch the invention in the whole process, thereby ensuring aseptic operation and reducing the difficulty of operation to the greatest extent; and can prevent the user from touching the device during use, thereby reducing cross contamination; and effectively solves the problem that it is difficult for medical staff to peel off the adhesive dressing due to wearing latex gloves during clinical operation, and at the same time, multiple-piece loading also meets the quick requirements in hospital medical practice.

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.

To more appropriately support diagnosis when performing diagnosis accompanied by a medical practice remotely.SOLUTION: A remote medical support system 1 includes a work mechanism 25, an operation mechanism 15, a movement control unit 313, and a presentation unit 314. The work mechanism 25 is a mechanism for performing a medical practice including palpation to a subject. The operation mechanism 15 is a mechanism for receiving a remote operation to the work mechanism 25 from an operator. The movement control unit 313 controls the movement of the work mechanism 25 in response to the remote operation received by the operation mechanism 15, and transmits reaction force given to the work mechanism 25 in response to the touch of the work mechanism 25 onto the subject to the operator as a force tactile sense through the operation mechanism 15. The presentation unit 314 presents support information for supporting diagnosis based on the medical practice acquired on a work mechanism side to the operator.SELECTED DRAWING: Figure 5

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.

[Problem] To more appropriately support diagnosis when diagnosis accompanied by a medical action from a remote place is performed. [Solution] A remote medical support system 1 comprises a work mechanism 25, an operation mechanism 15, an operation control unit 313, and a presentation unit 314. The work mechanism 25 is a mechanism for performing a medical action including palpation of a subject. The operation mechanism 15 is a mechanism for receiving a remote operation for the work mechanism 25 from an operator. The operation control unit 313 controls the operation of the work mechanism 25 according to the remote operation received by the operation mechanism 15, and transmits the reaction force applied to the work mechanism 25 in response to the contact of the work mechanism 25 with the subject to the operator via the operation mechanism 15 as a tactile force. The presentation unit 314 presents, to the operator, support information for supporting diagnosis based on the medical practice acquired on the work mechanism side.

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).

To provide a system according to an embodiment that automatically records and summarizes the details of a conversation during a medical examination, and efficiently creates a medical chart, a medical care specification, and a prescription.SOLUTION: A system according to an embodiment comprises a receiving unit, a creation unit, a determination unit, and a prescription unit. The receiving unit records the details of a conversation during a medical examination. The creation unit summarizes the details of the conversation recorded by the receiving unit to create a medical chart. The determination unit automatically determines points for every medical practice summarized by the creation unit to create a medical care specification. The prescription unit creates a prescription for drug on the basis of a symptom summarized by the creation unit.SELECTED DRAWING: Figure 1

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 present subject matter relates to a system (100) and a method (300) for detecting lung abnormalities in a medical image (101). The clinical decision support system designed to revolutionize medical diagnosis and treatment recommendations. The system (100) employs a multi-faceted approach, combining data collection, intelligence-based imaging model (207), and language model (208), each playing a pivotal role in enhancing clinical decision-making. Data collection forms the foundation, aggregating diverse data sources including chest images, patient history records, EHS, clinical research data and updated healthcare guidelines. This dataset fuels the training and optimization of intelligent models, ensuring their accuracy and relevance. Integration of the intelligent imaging and language model outputs yields an overall confidence score. The system then furnishes a comprehensive output, encompassing diagnosis, confidence score, and tailored treatment recommendations, facilitating informed clinical decision-making. This innovative framework holds promise in augmenting medical practice, offering enhanced diagnostic precision and personalized treatment guidance.