220 results about "Medical teaching" patented technology

The invention relates to the technical field of intelligent medical teaching, and discloses a medical intelligent teaching model construction method based on an ultrasonic AI technology. According to the method, ultrasonic image sequence data and corresponding operation records of a target object are integrated to generate an original teaching data set; carrying out multi-dimensional teaching feature analysis on the dynamic teaching feature parameter set, and extracting a dynamic teaching feature parameter set; constructing an anatomical structure evolution feature tensor according to a time evolution rule of the parameter set, and calculating knowledge density distribution of historical typical cases; setting a teaching anomaly discrimination boundary and generating an anomaly feature index set; capturing ultrasonic image flow and operation behavior data in teaching operation in real time, mapping the ultrasonic image flow and operation behavior data to a multi-scale teaching knowledge space, and calculating spatial distribution similarity with the abnormal feature index set to obtain a real-time teaching deviation coefficient; and constructing a teaching risk prediction network model, and generating a teaching operation quality evaluation result and a teaching strategy adjustment scheme.

The invention relates to the technical field related to medical systems, in particular to a medical teaching and research integrated system based on a common bottom layer, and aims to break through information islands among medical treatment, teaching and scientific research and realize closed-loop linkage and dynamic knowledge conversion of a whole process. The system comprises a diagnosis and treatment decision subsystem, a scientific research queue management subsystem and a teaching subsystem, integrates data through a three-in-one data engine, and realizes information sharing and cooperative work. The diagnosis and treatment decision subsystem provides diagnosis and treatment support for severe diseases based on an expert thinking chain. And the scientific research queue management subsystem is responsible for screening cases, sorting data, implementing quality control and statistical analysis, and adjusting an expert thinking chain according to scientific research results. And the teaching subsystem carries out teaching by using a standardized case presentation mode. Through a feedback closed loop of clinical discovery, scientific research verification, knowledge updating and teaching feedback, rapid propagation and application of medical knowledge are promoted, and the medical service quality and the medical education level are improved.

The invention relates to the technical field of medical teaching molds, in particular to a cervical cancer staging model demonstration teaching aid, and aims to overcome the defects that in the prior art, the demonstration effect is single, the demonstration effect is poor, a model cannot be protected when the device is not used, the model is prone to being damaged, and follow-up use is affected. The device comprises a box body; the handle is fixedly connected to the top of the box body; the number of the upper fixing plates is two, and the two upper fixing plates are fixedly connected to the two sides of the outer portion of the box body correspondingly; the number of the lower fixing plates is two, and the two lower fixing plates are fixedly connected to the two sides of the outer portion of the box body correspondingly; the mounting plate is connected to the interior of the box body in a sliding manner; the second connecting column is fixedly connected to the top of the mounting plate; according to the application, through different model display, the demonstration effect is improved, and after use, the model can be protected to facilitate next use.

The invention relates to a clinical surgery experiment virtual simulation teaching method and device, equipment and a medium. The method comprises the following steps: responding to an obtained teaching task configuration file; the teaching task configuration file comprises a clinical scene and an evaluation standard; calling a corresponding three-dimensional digital physiological model according to the teaching task configuration file, and performing special effect rendering according to the clinical scene to obtain a visual virtual simulation experiment scene; responding to the obtained user action data, performing real-time deformation on the three-dimensional digital physiological model, and generating feedback parameters; the feedback parameter is used for indicating the interaction control to work according to the feedback parameter; and comparing the user action data with preset standard expert action data, and generating a teaching evaluation result based on an evaluation standard. By adopting the method, high fidelity can be carried out on the whole process of clinical surgery experiment teaching, effective technical support is provided for medical skill teaching, and the method is suitable for multi-scene and multi-level medical teaching practice requirements.

The invention relates to the field of neurological rehabilitation medicine teaching instruments, in particular to a device and a system for simulating abnormal muscular tension of a human body, comprising a main body, partitions and a fourth driving device arranged in the main body, the device comprises a main body, a partition arranged in the main body, a first driving device arranged in the partition, a second driving device arranged in the partition and a third driving device arranged in the partition, and the main body and the partition are connected and used for simulating the upper body and arms of a human body. The first driving device, the second driving device, the third driving device and the fourth driving device are sequentially and rotatably connected, so that the problem that an existing human body muscle tension testing device still cannot meet the training requirement of dynamic muscle tension characteristics in the actual use process is solved; and a measured value is higher than a true value due to the fact that the movement of the component is not supported by the auxiliary support during detection.

The invention provides a medical record generation optimization method based on type differentiation, and belongs to the field of natural language processing, and the method comprises the steps: constructing a medical record type classification system, designing an exclusive generation model and a scene rule for different types of medical records such as a first disease course, a daily disease course and a stage knot, and combining with a clinical feedback dynamic optimization generation strategy, thereby achieving the purpose of optimizing the medical record generation. The medical record generation method is suitable for scenes such as clinical medical record writing, medical teaching medical record construction and medical AI auxiliary diagnosis and treatment systems of hospitals at all levels.

The invention relates to the technical field of medical teaching, and discloses a noninvasive intracranial pressure continuous monitoring teaching device and a fluctuation trend prediction method.The noninvasive intracranial pressure continuous monitoring teaching device comprises a protective shell and a closed-loop fluid system integrated in the protective shell, and the closed-loop fluid system is composed of a pump body, an intracranial simulation block, a first connecting pipe, a second connecting pipe, a third connecting pipe and a pressure regulating valve; the output end of the pump body is communicated with an input cavity of the intracranial simulation block through a first connecting pipe, the backflow end of the pump body forms a closed loop through a second connecting pipe, a pressure adjusting valve and a third connecting pipe, a detector used for collecting simulated intracranial pressure data in real time is arranged at the top end of the intracranial simulation block, and a display screen is arranged on the outer surface of the protective shell. A closed-loop fluid loop is constructed through a pump body, an intracranial simulation block and a pressure regulating valve regulated and controlled by PID, cerebrospinal fluid circulation is dynamically simulated, and the problem that traditional teaching lacks real pathological environment simulation and operation safety is effectively solved in combination with an embedded training lumbar puncture hole.

The invention relates to a medical teaching training system based on AI-driven high-simulation SP medical history acquisition, belongs to the field of teaching tools, and is used for extracting corresponding case data according to teaching requirements and determining symptoms and physiological indexes of AI-driven high-simulation SP. Constructing an SP body model; extracting an entity of the medical history acquisition knowledge graph from the current question of the student, and searching a triple corresponding to the entity from the medical history acquisition knowledge graph to obtain a first set; obtaining an SP state entity according to the AI-driven high-simulation SP symptoms, the physiological indexes and the body parameters; searching a triple corresponding to the SP state entity from the first set to obtain a second set; and according to the second set, in combination with the SP character parameters and the emotion parameters, generating an answer of the SP. According to the invention, a large number of medical history collection training opportunities with AI-driven high-simulation SP diversification and low cost can be provided, the teaching cost of standardized patient medical history collection is reduced, and the performance of virtual patients is more stable and objective.

The invention relates to the technical field of medical image processing and three-dimensional reconstruction, and particularly discloses a reconstruction and analogue simulation method based on a cardiac image. The method comprises the following steps: firstly, preprocessing an input CT or MRI medical image, and automatically segmenting a heart multi-tissue structure by using an nnUNetv2 model, including a plurality of anatomical regions such as atrium, ventricle, myocardial tissue and blood pool; and then performing topology repair, smoothing processing and label resampling on the segmentation result to obtain a three-dimensional label body with a continuous structure and a complete boundary. And based on the optimized tag body, constructing a heart three-dimensional surface model by adopting a Marching Cubes algorithm, and generating a multi-material volume grid suitable for finite element analysis. According to an electrode position and a radio frequency parameter set by a user, a radio frequency ablation simulation model based on a Pennes biological heat conduction equation and an Arrhenius model is established, a temperature field and a tissue thermal damage range are calculated, and a simulation result is displayed in a three-dimensional mode in an overlapping mode. According to the method, the integrated process from medical image automatic segmentation to heart three-dimensional reconstruction and thermal simulation is realized, the segmentation precision, the modeling efficiency and the simulation reliability are improved, and the method can be applied to application scenes such as surgical planning, preoperative evaluation and medical teaching.

The application relates to the technical field of intelligent medical teaching, and discloses a medical intelligent teaching model construction method based on ultrasonic AI technology. The method collects ultrasonic image sequence data of a target object and corresponding operation records, generates an original teaching data set, carries out multi-dimensional teaching feature analysis on the original teaching data set, extracts a dynamic teaching feature parameter set, constructs an anatomical structure evolution feature tensor according to the parameter set and the time evolution law, calculates the knowledge density distribution of historical typical cases, sets a teaching anomaly discrimination boundary and generates an abnormal feature index set according to the knowledge density distribution, captures ultrasonic image flow and operation behavior data in real time, maps the ultrasonic image flow and the operation behavior data to a multi-scale teaching knowledge space, calculates the spatial distribution similarity of the abnormal feature index set, obtains a real-time teaching deviation coefficient, constructs a teaching risk prediction network model, and generates a teaching operation quality evaluation result and a teaching strategy adjustment scheme.

The present application relates to medical teaching aid technical field, especially intelligent feedback type thyroid ablation operation simulation training device. The model includes a simulation person, a cervical vertebra module, a thyroid module and a simulation nodule. The simulation nodule is made of a thermal response material, has a heating element inside, an ablation needle integrated with a temperature sensor, and a control unit triggers heating according to the sensor signal, so that the physical state of the nodule changes and the real ablation effect is simulated. The present application has a simple structure, can provide intuitive visual and tactile feedback, and is used for medical staff surgical skill training and objective examination.

1. The name of the design product: ionized particle flow device. 2. The use of the design product: central air conditioning ionized particle flow device for fresh air supply in hospital pathology department or other medical teaching laboratory. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention belongs to the field of medical teaching training, and discloses a urinary surgery simulation training method and system based on tactile feedback, and the method comprises the steps: collecting operation behavior data and force change data, and obtaining a preliminary perception sequence; obtaining a classified organization state cluster according to the preliminary sensing sequence; extracting a hand feeling perception feature from the classified organization state cluster to obtain an update cluster; aiming at the update cluster and the operation behavior data, constructing a support vector machine model to train a tactile feedback response to obtain a dynamic matching function; processing the tactile feedback response data through a dynamic matching function to obtain an optimized feedback sequence; acquiring tissue state update from the optimized feedback sequence, and performing real-time calibration on hand feeling perception by adopting an information processing link to obtain a calibrated perception model; and according to the calibrated sensing model and the force change data, generating a corresponding operation processing track. According to the method, high authenticity and low delay of tactile feedback are realized, and an accurate dynamic matching result is provided for a complex operation scene.

The invention relates to the technical field of medical teaching aids, and discloses a laryngoscope operation training method and device based on sensor intelligent feedback, and the method comprises the steps: reconstructing a human body oral cavity simulation model for training, simulating anatomical mechanical gradients including a tongue body, a pharynx and teeth, and obtaining a simulated model; burying pressure sensors with different precisions under the skin of each key part in the simulation model according to the anatomical mechanics of the part; the oral cavity simulation model is connected to carry out laryngoscope operation training, signals of all the pressure sensors are collected in real time and converted into digital signals, key parameters of the pressure signals are obtained through calculation after analysis and processing so as to judge the contact state, and corresponding acousto-optic feedback and alarm are automatically triggered according to the contact position and the contact state. An intelligent sensing network with biomechanical simulation capability is constructed, the contact strength in a laryngoscope operation path is evaluated through a multi-level pressure monitoring and dynamic feedback mechanism, and a quantitative evaluation system of operation quality is established.

1. The name of the design product: head and neck muscle model. 2. The use of the design product: for display, medical teaching demonstration. 3. The design points of the design product: in the combination of shape and color. 4. The picture or photo that best shows the design points: perspective view 1. 5. The design for which protection is sought contains color. 6. The bottom surface of the design product is a part that is not easy to see or cannot be seen during use, and the top view is omitted.

The application discloses a kind of based on knowledge graph's simulation clinical experiment environment interaction method, specifically related to medical artificial intelligence and clinical simulation technical field;Initial disease entity node and its corresponding symptom feature set are acquired, and initial pathological state graph with time factor is constructed;Based on user interaction behavior extraction operation feature vector, utilize graph neural inference model to carry out multi-hop semantic path inference, generate post-interaction state graph;Further calculate the semantic shift degree caused by user operation, dynamically adjust graph inference weight;Extract relevant etiological entity and generate pathological evolution chain, calculate response difference degree in combination with user subsequent behavior, dynamically adjust virtual patient feedback, trigger path rollback operation if necessary;The application can realize the precise modeling and response control based on knowledge graph in clinical simulation environment, improve the interaction intelligence, explainability and stability of system, applicable to medical teaching, virtual diagnosis training and the like scene.

The utility model belongs to the technical field of medical teaching models, and particularly discloses a simulation limb arteriovenous hemorrhage simulation device which comprises a simulation blood storage device and a simulation limb, a blood pressure circulation control box is arranged between the simulation blood storage device and the simulation limb, and the simulation blood storage device is connected with the blood pressure circulation control box through a liquid extraction pipe. An artery tube set used for simulating artery blood supply and blood overflow and a vein tube set used for simulating vein blood supply and blood overflow are arranged in the simulation limb, and a liquid outlet of the blood pressure circulation control box is communicated with a backflow opening of the simulation blood storage device and an artery blood outlet in the simulation limb through the artery tube set. Or the liquid outlet of the blood pressure circulation control box is communicated with the backflow port of the simulation blood storage device and the vein bleeding port on the simulation limb through the vein tube group. According to the utility model, the artery tube group and the vein tube group are arranged in the simulation limb, so that blood pressure changes in different states, including arterial high-pressure bleeding, vein low-pressure errhysis and other scenes, are simulated, and the sense of reality of training is enhanced.

The invention relates to the technical field of medical teaching appliances, in particular to an intelligent feedback thyroid ablation operation simulation training device. The model comprises a simulation person, a cervical vertebra module, a thyroid gland module and a simulation nodule block. The simulation nodule is made of a thermal response material, a heating element and an ablation needle integrated temperature sensor are arranged in the simulation nodule, and the control unit triggers heating according to a sensor signal, so that the physical state of the nodule generates observable change, and a real ablation effect is simulated. The device is simple in structure, can provide visual visual and tactile feedback, and is used for surgical skill training and objective examination of medical staff.

The invention relates to the technical field of medical teaching simulation, and discloses a tracking type teaching platform based on learning model data interaction, which comprises a focus expert analysis and storage module, a training image acquisition module, an acquisition position comparison module, an analysis report generation module, a training result comparison module and a comprehensive evaluation module, the comprehensive evaluation module comprehensively evaluates a teaching training result based on comparison results of the acquisition position comparison module and the training result comparison module; according to the invention, based on the comparison of training results, the excursion frequency of the collection position is used as the proficiency degree or accuracy for examination, so that the identification and judgment ability of the student on the focus is evaluated more accurately and comprehensively, the comprehensiveness of teaching management is improved, and the teaching management can be more accurate and accurate based on a teaching training result curve. And determining a further learning direction of the student so as to carry out personalized enhancement.

The utility model discloses a craniocerebral dissecting table for medical test and teaching, and relates to the technical field of medical teaching, the craniocerebral dissecting table comprises a base and a positioning head frame, the positioning head frame is arranged on the base through a fixing support, the front side of the positioning head frame is provided with an open skull placing position, and the positioning head frame is arranged on the base. An upper positioning rod and a lower positioning rod which are used for fixing the skull are arranged on the upper side and the lower side of the skull placing frame respectively, the upper positioning rod is rotationally connected with the skull, and the lower positioning rod is fixedly connected with the skull and rotationally connected with the positioning head frame. The positioning head frame is provided with a damping piece used for enabling the lower positioning rod to rotate in a damping mode. The skull is fixed through the upper positioning rod and the lower positioning rod, the skull is driven to rotate through rotation of the lower positioning rod, the position of the skull can be kept still through the damping piece under the condition that the lower positioning rod does not have external force, and therefore the skull structure can be observed at different angles.

The embodiment of the invention discloses a vein puncture training error correction system and method based on multi-modal perception, and belongs to the technical field of medical teaching systems. The problem that the real-time performance and the accuracy of error correction in venipuncture training are low is solved. The data acquisition unit is used for acquiring corresponding venipuncture training operation data and blood vessel response data of the trainee in the current training mode; the coding unit is used for coding the blood vessel response data in real time and constructing a blood vessel state coding sequence; the association unit is used for associating the venipuncture training operation data with the blood vessel state coding sequence to form a coupled data stream; the prediction unit is used for inputting the coupled data flow into a preset venipuncture deviation prediction model, performing operation deviation prediction and generating compensation parameters based on an operation deviation prediction result; and the error correction unit is used for sending an early warning to the trainee based on the operation deviation prediction result and the compensation parameter, and giving operation guide data to realize vein puncture training error correction.

The invention discloses a 3D printing-based thyroid puncture model manufacturing method capable of being trained under the guidance of B-type ultrasound, and relates to the field of medical teaching model manufacturing. The core of the method is that a 3D printing technology and a traditional casting technology are fused, and firstly, a split thyroid shaping mold capable of being customized in a personalized mode is printed through digital design; then, a polyvinyl alcohol-graphite powder composite material with a specific ratio is adopted to simulate thyroid tissues and nodules respectively, so that the high simulation degree of the model on acupuncture handfeel and B-type ultrasonic images is ensured; and then through innovative two-stage casting and a special nodule fixing structure, the precise positioning problem of the suspended nodule in the model is solved. And finally, performing freeze-thaw cycle treatment to obtain a finished product. The high-simulation thyroid model manufacturing method suitable for ultrasonic guided puncture training has the advantages of being low in cost, high in simulation degree and high in individuation.

The utility model relates to the technical field of medical teaching appliances, in particular to an examination and suture teaching model capable of simulating perineum lacerations of different degrees, which comprises a model main body with a genital-imitating structure, the model main body is provided with incisions reflecting at least two degrees of lacerations, the incisions are sequentially marked as I-degree laceration and II-degree laceration, and the incisions are respectively marked as I-degree laceration and II-degree laceration. The vagina-imitating structure comprises a vagina epithelium, a perineum epithelium and a perineum muscle which are arranged in sequence; wherein the incision is obtained by cracking the vaginal epithelium to the perineal muscle by the vaginal-imitating structure. According to the scheme, an efficient platform integrating foundation and advanced suture training is provided for trainees through an innovative multi-level anatomical structure and laceration design of different depths. Students can clearly identify and practice examination and suture skills of various perineum lacerations, so that obstetrical lacerations of different degrees can be better dealt with in actual clinic, and a higher clinical skill level is achieved.

The utility model discloses a portable simulation oxygen inhalation teaching demonstration device belongs to medical teaching appliance technical field. The device includes installation support, oxygen inhaler, micro air pump, venturi booster pipe and compensation bottle. The installation support is constituted by base, support rod and support assembly, and the oxygen inhaler, micro air pump, venturi booster pipe and compensation bottle are all installed on the support assembly. The airflow generated by micro air pump enters venturi booster pipe, and utilizes venturi effect to form negative pressure at the throat and communicates with compensation bottle, and finally inputs the stable airflow to oxygen inhaler. The utility model solves the problems of the existing oxygen inhaler, such as relying on fixed high pressure gas source, lacking support after being separated from wall surface and unstable oxygen bag gas supply pressure, realizes the portability of oxygen inhalation operation teaching and the simulation of flow regulation, and is suitable for nursing teaching and practical operation examination.

The invention relates to the technical field of medical teaching instruments, in particular to a 3D printing simulation tooth model for root canal therapy training teaching, and a construction method of the 3D printing simulation tooth model comprises the following steps: constructing a multi-modal tooth image data set by fusing CBCT volume data and oral cavity scanning point cloud information, extracting a root canal system structure based on an anatomical registration and depth segmentation algorithm, and constructing a multi-modal tooth image data set; a high-precision three-dimensional entity model is generated by combining B-spline surface reconstruction and a topological repair mechanism, an anatomical reference is established by taking a medullary cavity-root canal joint as a coordinate origin, and a curvature control point network is designed for four root canal types; space coordinates are controlled through sagittal plane, coronal plane and cross section angles, and adjacent points are connected to construct a constant-curvature arc section to realize form quantization; and fusing the quantized root canal curve with the tooth shell model, additionally arranging a pulp opening hole and a root canal positioning point, exporting an STL format, and performing SLA photocuring printing verification. According to the invention, anatomy fidelity control and standardized teaching application of the personalized root canal model are realized.

This invention belongs to the field of medical teaching aids technology, specifically a cardiopulmonary resuscitation (CPR) first aid skills training device, including a head training module, a neck connection module, a chest training module, a base platform, and a control module. The head module includes a head shell, a simulated oral cavity, an angle sliding shaft, and a sensing unit. The neck module is equipped with an automatic closing device to achieve coordinated airway opening and closing. The chest module incorporates a compression simulation unit, a vibration module, and electrode pressure pads. The control module coordinates data transmission and feedback from all units. This invention solves the problems of existing CPR training devices, such as limited functionality, inaccurate operation detection, unrealistic scenario simulation, delayed feedback, and scattered assessment data. These devices fail to provide comprehensive error correction guidance for trainees, struggle to recreate realistic scenarios such as airway obstruction and insufficient ventilation, resulting in poor training effectiveness and failing to meet the needs of precise clinical emergency training. This invention achieves accurate capture of the entire operation process, real-time feedback, and standardized assessment, improving the professionalism and practicality of the training.

1. Name of this design product: Medical teaching head model display stand. 2. Purpose of this design: For use in teaching head model display. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The application discloses a colonoscope simulation training box and belongs to the field of medical teaching aids, which comprises a box body, a positioning structure and a traction structure. The box body comprises a wall plate and a bottom plate. The positioning structure comprises a detachable connecting holder and a fixed tube clamp. The holder is fixedly connected with the bottom plate. The positioning structure is provided with a plurality of holders. The simulation tube is of a flexible structure. The space pose of the corresponding part of the simulation tube is changed by adjusting the position and angle of the holder, and the shape of the simulation tube is changed. The traction structure is connected with the bottom plate and comprises a connecting seat and a traction line which are connected with each other. The traction line is further connected with a movable tube clamp. The movable tube clamp is detachably connected with the simulation tube. When the traction line drives the movable tube clamp to move towards the connecting seat, the included angle of the parts of the simulation tube on both sides of the movable tube clamp is reduced. Through the above arrangement, the ex vivo colon can simulate the shape in the human body, including a part of relatively fixed intestinal segments and a part of relatively free intestinal segments, and different angle of the bending angle can be simulated according to the training difficulty.

The invention relates to a medical image processing and three-dimensional reconstruction simulation system. The medical image processing and three-dimensional reconstruction simulation system comprises image loading, image processing, three-dimensional reconstruction, simulation analysis and multi-view display. The system loads various medical image formats, provides real-time display of axial, sagittal and coronal slices, extracts information of key parts by using an image segmentation strategy, generates a high-precision three-dimensional model based on a Marching Cubes algorithm, supports thermal and electrophysiology analysis, can automatically input physiological parameters, simulates heat distribution and current distribution of tissues, supports interactive adjustment, and is high in accuracy and high in accuracy. And a user can conveniently observe image details and analysis results. By using the system, the medical image processing efficiency and the three-dimensional reconstruction precision can be improved, meanwhile, the multi-dimensional analysis requirement of a complex anatomical structure is met through a simulation analysis function, and the system can be widely applied to medical diagnosis, surgical planning and medical teaching scenes.

The invention belongs to the technical field of medical teaching information, and particularly relates to an umbilical cord model umbilical vein indwelling catheter module improvement system and method based on a novel biomimetic material. The system focuses on clinical training requirements of umbilical vein catheterization in newborn intensive care, and overcomes core defects of a traditional training model in material bionic degree, operation feedback precision and durability by innovating a bionic material formula, optimizing a catheterization channel structure and designing a multi-dimensional sensing feedback and evaluation algorithm. A practical operation training solution with real operation hand feeling, accurate quantitative evaluation and high reusability is provided for medical teaching, and the system is suitable for skill training in scenes such as medical colleges and hospital neonatology departments.