296 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 aids, and provides an acupoint acupuncture manipulation auxiliary training system special for bone fracture rehabilitation, which comprises the following steps: acquiring acupuncture depths and change angles of a plurality of detection time periods under multiple acupuncture; analyzing the variation difference relationship of the acupuncture depths of adjacent detection time periods, and dividing a plurality of segmentation time periods; based on the variation trend and the variation amplitude of the acupuncture depth in each segmentation time period, quantifying the force application unbalance degree of each acupuncture; analyzing the change relation of the change angle along with the change of the detection time period when the needle is inserted and after the needle is stopped in the needling process, and determining the out-of-control degree of the angle of each needling; in combination with the force application unbalance degree and the needling depth change difference between needle insertion starting and needle insertion stopping in the needling process, the mold deformation degree of each time of needling is obtained; and the suggested needle application depth of subsequent needling is determined, and auxiliary prompting is carried out. The invention aims to solve the problem that the non-uniform mold material affects the judgment of the uniformity of needle applying force by students.

The invention relates to the field of medical teaching, and particularly discloses a clinical examination content generation method and system based on a multi-modal technology, and the method comprises a multi-modal data collection module which is used for collecting clinical medicine related information from a plurality of data sources; the data processing and classifying module is used for processing the clinical medicine related information acquired by the multi-modal data acquisition module and extracting effective medical knowledge and clinical situation data; the data embedding module is used for embedding the extracted data into the text embedding model and converting different types of data in the extracted data into uniform vector representation convenient for processing and training of the text embedding model; the retrieval content generation module is used for performing retrieval in the storage unit embedded into the text model by utilizing a vector retrieval algorithm according to examination requirements to obtain question setting reference data, and generating examination questions in combination with a cue word project; and the content optimization and verification module is used for constructing a real-time feedback mechanism for constructing the text embedding model.

The invention relates to the technical field of medical teaching assistance, and provides an artificial intelligence-based medical virtual patient simulation system, which comprises a virtual patient generation module, which is used for carrying out pathological fusion analysis on disease model data and an individual difference database based on an artificial intelligence model to obtain personalized pathological feature vectors, and carrying out spatial projection on the personalized pathological feature vectors through a spatial projection algorithm, generating a virtual patient based on the pathological feature vector, wherein the virtual patient is used for indicating feedback of a corresponding clinical operation instruction set; the real-time interaction module is used for acquiring and analyzing a clinical operation instruction set to obtain a virtual physiological parameter disturbance value, and performing dynamic deduction on the pathological feature vector according to the virtual physiological parameter disturbance value to obtain physical sign data of a virtual patient; and the intelligent evaluation feedback module is used for calculating a spatial similarity score of the clinical operation instruction set and the standard data set based on the multi-dimensional evaluation matrix, and generating a clinical operation quality report based on the spatial similarity score and the physical sign data. The quality and effect of medical education and training can be 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 discloses an intelligent skin disease recognition system and screening method based on image features, and relates to the technical field of artificial intelligence. Skin disease image data are collected and uploaded to the labeling system, and label labeling is completed through assistance of professional doctors. The constructed skin disease data set covers dermatoscope type data and clinical shot image data. Performing data enhancement, standardization, normalization and image size unified adjustment on the labeled data, and inputting the data into a deep learning model for training; a deep neural network DCSNeXt model suitable for skin disease image feature recognition is designed and constructed, a special classifier is designed according to data categories, and model training and performance testing are carried out on the two types of data; a plurality of existing common image recognition models are further used for carrying out training testing on the data set, and the performance of the data set is compared with the performance of a DCSNeXt model on a test set; in addition, two types of skin disease image data in related literatures in recent two years are collected, and a model with good performance is selected to carry out label-free prediction analysis on the skin disease image data. According to the invention, intelligent characterization analysis of dermatoscope and clinically shot dermatosis images can be realized, technical support is provided for feature extraction and classification of dermatosis images, the method can be widely applied to the fields of dermatology department clinical auxiliary analysis, telemedicine and medical teaching, and development of dermatosis intelligent analysis is promoted.

The invention discloses a multi-modal intelligent medical teaching practical training system and a data processing method. The system comprises a medical data acquisition module used for acquiring multi-source heterogeneous medical data; the preprocessing module is used for preprocessing the collected medical data, including data synchronization; the medical data quality evaluation module is used for evaluating the medical data quality by adopting a quality scoring function to obtain a data quality evaluation result, and performing feature extraction on the corresponding medical data if the evaluation result is higher than a set value; the feature extraction module is used for performing medical feature extraction on the medical data after quality evaluation by using a multi-branch neural network, the multi-branch neural network comprises a CNN branch, an RNN branch and a GNN branch, and time-frequency features, time-sequence features and spatial features in the medical features are extracted respectively; and the feature fusion module is used for performing feature fusion on the medical features of each branch obtained by the feature extraction module by adopting a fusion function, and combining the multi-modal features extracted by different branches to form uniform feature representation. According to the system and the method, the multi-source heterogeneous data synchronization precision can be improved.

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 provides an ultrasonic image generation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a three-dimensional simulation model and scanning parameters of a virtual probe, carrying out the dynamic section scanning of the three-dimensional simulation model according to the scanning parameters of the virtual probe, obtaining a plurality of section images of the three-dimensional simulation model, and carrying out the dynamic section scanning of the three-dimensional simulation model; and according to the plurality of section images, dynamically generating and displaying a plurality of ultrasonic-like images of the three-dimensional simulation model. Through the three-dimensional modeling and image processing technology, the ultrasonic image generation process is simplified, the dependence on a physical probe is reduced, the real-time performance is enhanced, the clinical real-time feedback requirement is met, the cost is reduced, and the method is easier to popularize in primary medical institutions and medical teaching.

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 discloses an intelligent medical record analysis and simulation diagnosis and treatment system for medical teaching, and relates to the field of intelligent medical treatment, and the system comprises a cloud database which is used for uploading patient diagnosis and treatment cases and storing the patient diagnosis and treatment cases; the selection module is used for selecting a patient diagnosis and treatment case in the cloud database and taking the selected diagnosis and treatment case as a to-be-simulated diagnosis and treatment case; the editing module is used for obtaining the to-be-simulated diagnosis and treatment case selected by the selection module, reading and manually editing diagnosis logic and medication details on the basis of the to-be-simulated diagnosis and treatment case, and massive real and high-quality learning resources are provided for medical teaching by collecting numerous standard cases of successful rehabilitation of patients and performing screening and classified storage; a user can select from the cases for simulation diagnosis and treatment and manually edit diagnosis logic and medication details, and understanding and application of medical knowledge are deepened in practice.

The invention relates to the technical field of artificial intelligence, in particular to a training data construction method for a medical teaching large model, and the method comprises the following steps: S1, predefining a medical teaching case JSON template; s2, acquiring case data for medical teaching; s3, performing slot matching on the medical teaching data obtained in the step S2 to obtain training data for a medical teaching large model; according to the method, the medical teaching case data of various different file types are subjected to data identification and extraction, speculation based on the large language model, format analysis and carding to obtain the prefabricated JSON data, and the method is suitable for training of the medical teaching large model in the medical teaching process and in the education and training environment of medical teaching products. The blank of a training data construction method for a medical teaching large model for assisting teaching in a high-simulation medical environment of products in the field of medical teaching is filled.

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 invention discloses a spatial pose pointing and positioning method for surgical field video acquisition, and belongs to the technical field of clinical medical teaching instruments. The method comprises the following steps: designing a two-dimensional code target for indicating the pose of a shooting target, and obtaining a coordinate system transformation model between each two-dimensional code on the target and a target body; after receiving an identification instruction sent by the two-dimensional code target, the surgical field video acquisition equipment controls a camera to shoot the two-dimensional code target, identifies the pose of a two-dimensional code pattern, and determines the spatial pose of the target according to the coordinate system transformation model after error compensation; determining an expected shooting pose of the camera according to the calculated target space pose, and controlling the camera to move to the expected shooting pose to shoot the shooting target; visual servo control is adopted to adjust the shooting pose of the camera. The efficiency of surgical operation teaching video recording is improved, resource waste is reduced, and a user can autonomously indicate and adjust the shooting pose of the camera.

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.

1. The name of the product under this design: Wireless practical training and teaching auxiliary instrument (168NW). 2. Purpose of this design product: Auxiliary instrument for medical teaching and production of electronic courseware. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the key points of the design: Design 1 Stereoscopic Drawing 1. 5. Designate Design 1 as the base design.

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.