116 results about "Medical teaching" patented technology

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 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.

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 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 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.

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 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.

The invention discloses a specialized nurse-oriented blood purification personalized course recommendation method and system, and relates to the technical field of medical teaching. The method comprises the following steps: S1, collecting blood purification operation data, and preprocessing the blood purification operation data; s2, dividing the preprocessed blood purification operation data into four stages, and calculating corresponding operation characteristic values; S3, obtaining operation capability characterization parameters of each stage, constructing a nurse operation evaluation model, and outputting a blood purification operation evaluation value of a nurse; and S4, generating a personalized learning task package based on the hematopurification operation evaluation value and the weight coefficient of each stage, pushing the personalized learning task package to a nurse side, constructing an evaluation difference matrix before and after learning, and performing closed-loop updating of course recommendation. The problem that an existing nurse training system cannot achieve objective evaluation and precise course matching based on multi-dimensional data of the hematology operation process, and consequently learning content is general and insufficient in individuation is solved.

This application relates to the field of medical simulation model manufacturing technology, specifically to a method for fabricating a fourth-level bronchus model, comprising: S1. Reverse modeling based on CT scan data of healthy human bronchi, and using Lasty-R liquid material to 3D print a lost foam of the fourth-level bronchus; S2. Applying a layered coating of platinum silicone to the surface of the lost foam and simulating the histological features of the bronchus to obtain a bronchus blank coated with a silicone layer; S3. Placing the bronchus blank in a heating environment of ≥100℃ to soften and break the internal lost foam into fragments; S4. Adding a lubricant into the cavity of the bronchus blank, removing the lost foam fragments, and obtaining a hollow fourth-level bronchus model. This method simplifies the fabrication process of the fourth-level bronchus model, shortens the cycle time, and reduces costs. The model has high simulation accuracy and strong reusability, meeting the needs of clinical training and medical teaching in multiple scenarios.

This invention relates to the field of medical image processing technology, specifically disclosing a method for automatic 3D reconstruction and printing model generation based on multi-view medical image sequences. The method includes the following steps: acquiring patient medical images and importing them into a method for automatic 3D reconstruction and printing model generation based on multi-view medical image sequences, followed by preliminary verification and processing; connecting a local script and performing sparse reconstruction using COLMAP software; preprocessing the point cloud using statistical filtering and radius filtering to remove outlier noise points and estimate point cloud normals to achieve surface consistency; performing Poisson reconstruction on the cleaned point cloud to generate a 3D mesh, then simplifying the mesh and smoothing the data; and robustly reconstructing a high-precision 3D model, obtaining a printable STL file without manual intervention. This invention facilitates intuitive observation of the three-dimensional morphology of organs or lesions, providing a convenient auxiliary tool for surgical planning and medical teaching.

The invention relates to the technical field of medical teaching, in particular to an AI-based medical image intelligent teaching platform which comprises an image acquisition unit, a question storage unit, a statistical unit, a comparison unit and an analysis unit. And when it is determined that the storage data of the single subclass is abnormal, adjusting the storage data in the image acquisition unit based on a disease detail quantization parameter and an image transverse comparison parameter, comprising the following steps: adjusting a preset acquisition period of acquiring the medical image by the image acquisition unit to a corresponding value, and adjusting the storage amount of the medical image for the single subclass to a corresponding value or adjusting the definition of the medical image for the single subclass to a corresponding value. And whether the stored data of each subclass is qualified is monitored based on the analysis result of the abnormal receipt data of the user, and the stored data in the image acquisition unit is adjusted according to the analysis result, so that the management efficiency of teaching resources is improved.

The invention belongs to the technical field of medical teaching, and particularly relates to a multifunctional clinical simulation teaching demonstration device, which comprises a table plate, and is characterized in that the table plate is connected with a multifunctional plate and a model; the operation part comprises a pressure sensor, and an airflow sensor is connected in the model; the adjusting part comprises a sliding block, and a mounting block is arranged on the sliding block; the switching part comprises a rotating disc, a lamp is connected in the rotating disc, and a track A and a track B are connected in the mounting block; the cleaning part comprises a rotating rod, the rotating rod is slidably connected to an inner cavity of the rotating disc, the lower end of the rotating rod is connected with a driving rod, the lower end of the rotating disc is connected with a rotating pipe, the rotating pipe is arranged below the driving rod, the lower end of the rotating pipe is connected with a wiping plate, and a camera is mounted at the lower end of the mounting block. Teaching demonstration of various conditions can be achieved, the position and angle of the lamp can be adjusted according to needs, different lamps can be switched, and the camera can be cleaned through kinetic energy of the switched lamps.

The invention relates to the technical field of medical intelligent informatization, and discloses a thyroid cancer electronic medical record processing method and system based on multi-modal data, and the method comprises the steps: obtaining a thyroid image and an associated electronic medical record text containing lesion position description; extracting a text orientation semantic vector representing a relative spatial relationship from the text, and extracting a focus morphology feature vector representing a visual morphology and an image spatial relationship vector representing a spatial position relative to a preset anatomical structure from the image; respectively calculating an orientation semantic consistency score and a morphological neighborhood consistency score, and fusing to obtain a comprehensive consistency score; and finally, comparing the comprehensive consistency score with a preset threshold value to determine whether the text description corresponds to the focus in the image. According to the method, cross-modal accurate matching is realized, the diagnosis and treatment data utilization rate and the judgment accuracy are improved, the high efficiency and accuracy requirements of clinical diagnosis and treatment are met, and meanwhile, the method is adaptive to a medical teaching scene.

The invention discloses a real-time feedback teaching method and system for a medical dummy, and relates to the technical field of medical education, and the method comprises the steps: collecting multi-source behavior data generated when a student operates the medical dummy through a sensor group, carrying out the feature extraction, carrying out the real-time comparison, and generating decision deviation data, when the deviation exceeds a threshold value, an intervention instruction is triggered, teaching intervention is executed, operation deviation can be captured in real time, targeted guidance can be dynamically generated, multi-source behavior data are collected and analyzed in real time and compared with a standard clinical decision path, operation deviation of trainees can be detected in real time, teaching intervention is automatically triggered when the deviation is too large, and teaching efficiency is improved. Therefore, timeliness and accuracy of medical teaching feedback are improved, wrong operation is prevented from being solidified, and training efficiency is improved.

The application discloses an AR-based real-time guiding teaching system and method for nursing operation, and relates to the technical field of medical teaching.The system constructs a virtual-real fusion nursing teaching scene through AR glasses equipment, realizes real-time synchronization of multi-terminal pictures by using P2P communication technology, and solves the technical problems of physical vision obstruction and unclear observation of rear-row students in traditional teaching.Meanwhile, the system introduces AI action recognition and matching technology, realizes real-time error correction feedback for student operation, can analyze operation errors, and generates a personalized error correction summary table and matching video.The application improves the immersion and interactivity of nursing teaching, reduces the influence of geographical position on teaching quality, and has a wide application prospect.

The utility model discloses a multifunctional comprehensive experiment table for medical teaching, and relates to the technical field of medical teaching aids. The design that the upper surface is concave downwards and the lower concave surface is inclined is adopted, and the top drainage through groove is formed in the lower side, so that automatic flowing and drainage of liquid are achieved; and through a swing rocker arm mechanism driven by an electric cylinder, parallel and synchronous descending of the storage plates is achieved, and the operation requirements of users with different heights are met. The whole structure is stable, operation is convenient, the problems that a traditional experiment table is subjected to liquid retention, cleaning is difficult, and the height of a storage plate is fixed are solved, the safety and environmental friendliness of equipment are improved, and the multifunctional experiment table meets the diversified experiment requirements of modern medical teaching.

The invention discloses a multi-task medical language model training method based on a task decoupling distillation and fusion mechanism. The method is suitable for structured inquiry and medical knowledge teaching with obvious structural differences. The method comprises the following steps: firstly, constructing structured inquiry task data and medical teaching task data; a triple format is generated through normalization, and a soft label is introduced; performing unified soft label generation on the multi-task data by using a large teacher model, and completing general knowledge distillation through a student model; performing decoupling fine tuning on different tasks to obtain a sub-task model; performing label reconstruction on the original data by the sub-model to improve the task alignment degree; and finally, unifying the sub-task knowledge into a multi-task language model through fusion training. According to the method, an NF4 asymmetric quantization technology is introduced to compress the model weight, and the reasoning video memory and delay are remarkably reduced while the performance is kept. The method can be widely applied to multi-task modeling of inquiry, teaching, reasoning and the like in a medical artificial intelligence system, and has the advantages of high accuracy, high expansibility, friendly deployment and the like.

This application provides a time-slice intelligent annotation method for knowledge tags in medical teaching videos, relating to the field of video data processing and annotation. It includes: acquiring medical teaching video parsing information, which includes audio-text information, screen content information, and teacher instruction / gesture information; determining the current base time slice as a time slice to be filled based on the audio-text information, wherein the time slice to be filled is one with referential explanations but without a fully identified explicit medical knowledge tag; determining the screen instruction area in the time slice to be filled based on the teacher instruction / gesture information, and extracting medical clues from the area; associating and matching the regional medical clues with preceding medical knowledge tags to determine the implicit medical knowledge tags corresponding to the time slice to be filled; binding the implicit medical knowledge tags with the time slice to be filled to generate time-slice annotation results; thereby reducing the omission of medical knowledge tags in medical teaching videos due to teacher referential explanations.

The invention discloses a skill assessment method and system applied to clinical medicine teaching, and relates to the technical field of clinical medicine assessment. A multi-user cooperation operation video is obtained from the assessment scene and analyzed, an actual operation track path of the first user in the three-dimensional space is obtained, the actual operation track path is analyzed in combination with the multi-user cooperation operation video, and an operation score is obtained; extracting a voice instruction of the first user from the multi-user cooperative operation video, and performing closed-loop evaluation on the voice instruction to obtain a communication score; extracting a plurality of interaction sub-videos from the multi-user cooperation operation video, performing sight line extraction and posture recognition on the plurality of interaction sub-videos to obtain sight line attention duration and posture scores, and determining team cooperation scores according to the sight line attention duration and the posture scores; and performing weighted summation calculation on the operation score, the communication score and the team cooperation score to obtain a skill assessment score, and generating a skill assessment report according to the skill assessment score. By implementing the provided technical scheme, the skill level of the operator is accurately evaluated.

The invention relates to a remote medical teaching system. The remote medical teaching system comprises at least one teaching end device and at least one demonstration end device. The teaching end equipment comprises a teaching end actuating structure and a teaching end processor which are electrically connected with each other. The demonstration end device comprises a demonstration end actuating structure and a demonstration end processor which are connected with each other. The teaching end actuating structure is used for changing the pose state after interaction with a teacher. And the teaching end processor is used for identifying the pose change of the teaching end actuating structure, recording pose change data and sending the pose change data at the same time. And the demonstration end processor is used for receiving the pose change data sent by the teaching end processor and enabling the demonstration end actuating structure to make corresponding pose change according to the pose change data. The teaching end processor is further used for generating a damping change signal according to the operation state of the virtual model and sending out the damping change signal. And the demonstration end processor is used for receiving the damping change signal and controlling the demonstration end actuating structure to generate corresponding damping according to the damping change signal.