24 results about "Clinical teaching" patented technology

The invention discloses an AI-based auxiliary system for clinical teaching of cerebrovascular diseases, particularly relates to the field of disease management, and comprises a multi-modal information summarization module, a feature extraction module, a cross-modal deduction module, a dynamic incremental learning module, a virtual case generation module and a teaching evaluation feedback generation module. According to the AI-based auxiliary system for clinical teaching of cerebrovascular diseases, millisecond-level time domain alignment is carried out through a multi-modal information gathering module, a mapping relation table of image space coordinates and physiological signal timestamps is established, the problem of time sequence deviation caused by asynchronous processing of sub-channels is solved, and time-space alignment of multi-source data is achieved; feature decoupling of images and physiological signals is achieved through a feature extraction module, and relevance between cross-modal features is enhanced; dynamic information of blood flow velocity and blood pressure fluctuation of blood vessels is fused into attention scores through a cross-modal deduction module, and a causal relationship between variables is established, so that time-space consistency of clinical logic during deduction of complex cases is improved.

The invention discloses a heuristic medical education large model fine tuning method and device based on clinical thinking. The method comprises the step of constructing a clinical thinking framework based on clinical teaching data and expert opinions. According to the heuristic medical education large model fine tuning method and device based on clinical thinking, a structured clinical teaching corpus is formed through a clinical thinking framework, a three-agent collaborative architecture of a teacher agent, an expert agent and a student agent is constructed based on the clinical teaching corpus, and a final data set is generated through the collaborative architecture. And training and fine tuning are carried out through the final data set to obtain the final medical education large model, so that the interactivity, adaptability and teaching guidance capability of the final medical education large model are remarkably improved. The final medical education large model can gradually guide students to conduct reasoning and exploration according to a clinical thinking framework, while the teaching logicality is kept, the independent thinking ability of users is effectively stimulated, moderate guidance and feedback are provided, and therefore the actual requirements of clinical teaching are met.

The invention discloses a human body acupoint automatic positioning method, system and device based on deep learning and a storage medium. A body part area containing an acupoint is quickly positioned through a target detection model; utilizing a key point detection model to accurately detect anatomical key point coordinates in the region; innovatively, firstly, according to a preset traditional Chinese medicine acupoint positioning rule knowledge base, mathematical calculation is conducted on the key point coordinates, and initial acupoint coordinates are obtained; then a local image area with the initial coordinates as the center is intercepted, a lightweight self-adaptive fine tuning network is input, fine offset compensation is conducted on the initial coordinates according to local image features, and final high-precision acupoint coordinates are output. In addition, the invention further provides a double-model cooperative training process, weighted screening is carried out on training samples by utilizing a region detection model so as to improve the training quality of a key point detection model, and traditional Chinese medicine knowledge and a modern artificial intelligence technology are deeply fused so as to improve the training quality of the key point detection model. The method overcomes the defects of black box, high data dependence, poor generalization and the like of a pure data driven model, has the advantages of high positioning precision, high reliability, good interpretability and the like, and is suitable for multiple fields of traditional Chinese medicine clinic, teaching, health service and the like.

1. The name of the design product: table mat (clinical teaching of traditional Chinese medicine simulation case teaching). 2. The use of the design product: the design product is used to increase the comfort of the table surface contact. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: front view. 5. The design product is a thin product, and the left view, right view, top view and bottom view are omitted.

This invention discloses a method and apparatus for fine-tuning a large-scale medical education model based on clinical thinking, comprising constructing a clinical thinking framework based on clinical teaching data and expert opinions. This method and apparatus forms a structured clinical teaching corpus through the clinical thinking framework, and constructs a three-agent collaborative architecture—teacher agent, expert agent, and student agent—based on the corpus. The final dataset is generated through this collaborative architecture, and fine-tuned using the final dataset to obtain the final large-scale medical education model. This significantly improves the interactivity, adaptability, and teaching guidance capabilities of the final large-scale medical education model. The final model can gradually guide students to reason and explore based on the clinical thinking framework, effectively stimulating users' independent thinking ability while maintaining the logical flow of teaching, providing appropriate guidance and feedback, thus meeting the actual needs of clinical teaching.

The invention provides an artificial intelligence-based ear-nose-throat specialized clinical teaching effect evaluation system. The system comprises a natural language processing module, a computer vision analysis module, a virtual patient evaluation module, an otoscope image acquisition device, an image recognition module, an intelligent scoring and feedback module, a literature retrieval scoring module, a data management module and a visual presentation module. According to the system, multi-modal data of students in the processes of voice answering, skill operation, virtual inquiry, otoscope image recognition and literature retrieval are collected, automatic analysis and scoring are carried out, an ability evaluation report and personalized feedback are generated, standardization and intelligence of teaching evaluation are achieved, and the teaching efficiency is improved. The comprehensive ability evaluation device is suitable for comprehensive ability evaluation in the ear-nose-throat specialized medical teaching process. The system has the advantages of objective scoring, efficient processing, visual feedback and the like.

The invention discloses a traditional Chinese medicine menstrual prescription clinical teaching evaluation method based on information entropy. The method comprises the following steps: constructing a conditional probability knowledge base; initializing a diagnosis space and a feature space, determining each diagnosis feature in the diagnosis space and each symptom problem distribution initial prior probability in the feature space based on a conditional probability knowledge base, and calculating to obtain an initial information entropy; acquiring an input symptom feature, calling a corresponding conditional probability according to a conditional probability knowledge base, executing Bayesian updating, and calculating a diagnostic posterior probability; after each Bayesian update, calculating and diagnosing spatial information entropy, and determining entropy decrement according to the initial information entropy; recording the diagnosis probability distribution and entropy decrement; and traversing the candidate symptom features which are not input, calculating expected information gains of the candidate symptom features, and outputting recommendation questions according to the expected information gains. According to the invention, objective quantitative evaluation of student thinking paths is realized, and dynamic optimization and guidance of inquiry strategies are realized through information gain calculation.

The invention relates to the field of clinical teaching, and discloses a medical clinical skill operation examination evaluation method and device based on artificial intelligence multi-mode perception, computer equipment and a storage medium, and the method comprises the steps: obtaining a practical operation oral audio and an operation video of a student; setting a plurality of practical operation actions and action time intervals according to the audio of the practical operation interface; obtaining an action standard evaluation model associated with the practical operation action, and processing the operation video in the action time interval through the action standard evaluation model to obtain a single action score; determining a practical operation action score according to all single action scores; obtaining a reference operation video, and calculating the similarity between the operation video and the reference operation video; obtaining a similarity interval associated with the practical operation action score, and judging whether the similarity is within the similarity interval or not; and if the similarity is within the similarity interval, determining that the practical operation action score is valid. According to the invention, the evaluation efficiency and scientificity of the medical clinical skill operation examination can be improved.

The invention discloses an intelligent sharp tool box clinical teaching system and method based on a VR technology. The system comprises the intelligent sharps box entity equipment used for collecting physical operation data of operating the intelligent sharps box entity equipment by a user and providing physical feedback, and a VR interaction terminal used for presenting a virtual environment containing an intelligent sharps box virtual model and collecting virtual interaction data, and the background management terminal is in communication connection with the intelligent sharps box entity equipment and the VR interaction terminal and is used for analyzing the physical operation data and the virtual interaction data. The invention further provides a method of the system. According to the invention, a highly immersive and interactive real training environment can be provided, multi-dimensional acquisition, intelligent evaluation and instant feedback of operation data are realized, and the standardization, efficiency and safety of training are effectively improved.

A confidence occupational behavior evaluation platform and method based on an electronic information platform belong to the technical field of digital data processing, a Chinese MNS graduate student EPAs evaluation tool based on the electronic information platform is developed through a content analysis method, an expert conference method and focus group interviews, the content meets the MNS graduate student cultivation requirements, and a clinical practice environment is combined. Meanwhile, based on the advantages of convenience, data intercommunication and the like of an electronic information platform, the EPAs evaluation tool is expected to better realize core competency evaluation in clinical teaching evaluation, and powerful support can be provided for education and cultivation of MNS graduate students. In the future, the application condition of the EPAs evaluation tool in the clinical practice ability evaluation of MNS graduate students can be further explored according to the EPAs evaluation tool.

The utility model discloses a dental double simulation teaching simulation device, which belongs to the field of oral clinical teaching devices and comprises a technician table, two symmetrically distributed first instrument arms are mounted at the upper end of the technician table, second instrument arms are rotatably connected to the tail ends of the first instrument arms, and operating lamps are mounted at the lower ends of the second instrument arms. The side end of the first instrument arm is rotationally connected with an operation panel, a lifting rod is installed at the inner bottom end of the technician table, the upper end of the lifting rod is fixedly connected with a supporting plate, a handle is installed at the side end of the supporting plate, an upper limb model and a head model are arranged on one side of the supporting plate, and a loading assembly is installed among the upper limb model, the head model and the supporting plate. The height and the pitching angle of the simulation head model are freely adjusted during practical operation simulation operation, the practicability and the application flexibility of the dental chair of the dental simulation teaching head model are improved, and meanwhile under the action of the loading assembly, the upper limb model and the head model can be conveniently assembled, disassembled and replaced.

1. Name of the designed product: table mat (TCM clinical teaching simulation case teaching series). 2. Use of the designed product: the designed product is used to increase the comfort of table contact. 3. Design points of the designed product: the combination of shape and pattern. 4. Picture or photo best indicating the design points: design 1 front view. 5. The designed product is a thin product, and the left view, right view, top view and bottom view are omitted. 6. Design 1 is designated as the basic design.

The invention discloses a multi-language intelligent video clinical teaching platform system, and relates to the technical field of medical education and computer application. Comprising a user terminal, a video management module, a video library, a personalized design module, a video generation module, an online teaching platform, a teaching detection module and a virtual training module. The user terminal is used for tutor, assistant teaching and student login; the video management module is used for managing a video library by teachers and assistant teachers; the video library stores clinical skill teaching videos; the personalized design module is used for a user to select personalized information by himself; the video generation module is matched with the teaching video according to the personalized information of the user to generate a personalized teaching video; the online teaching platform is used for barrier-free communication between teachers, assistant teachers and students; the teaching detection module is used for detecting the learning effect of a student; and the virtual training module is used for performing immersive simulation training on the trainees. According to the invention, barrier-free cross-language teaching and communication can be realized, and the learning efficiency of students is improved.

The utility model relates to the technical field of medical treatment, and discloses a measuring tool ruler for eye endoscopic correction surgery teaching, which comprises a disc main ruler, outer scales and inner scales are arranged at the upper end of the disc main ruler, a marking ruler is arranged at the upper end of the disc main ruler, a gasket is arranged at the upper end of the marking ruler, and a fixer is arranged at the upper end of the gasket. According to the measuring tool ruler for teaching the eye endoscopic correction surgery, the disc main ruler, the marking ruler and the crystal model are arranged, the central axis of the crystal model is aligned with the central axis of the marking ruler, and the actually needed rotation angle of the crystal model is measured by rotating the marking ruler and observing the included angle between the disc main ruler and the marking ruler; the problem that in existing clinical teaching, included angle measurement of an accurate number cannot be obtained by rotating a solid crystal model is solved, meanwhile, the problem that actual teaching is abstract in teaching, and an accurate position cannot be obtained through measurement in a concrete mode is solved, and therefore the teaching quality is improved.

The utility model discloses medical breast surgery teaching model equipment, which comprises a trunk, a breast module I and a breast module II, the breast module I and the breast module II are movably connected with the trunk, each of the breast module I and the breast module II comprises a skeleton structure and a tissue structure, and the tissue structure covers the outside of the skeleton structure; mammary areola and nipples are arranged on one side of the first breast module, the sides, away from the first breast module, of the mammary areola are fixedly connected with the nipples, and the multiple groups of mammary areola and nipples correspond to the first organic diagnosis modules respectively; relates to the technical field of teaching equipment for breast surgery. According to the medical high-simulation breast model developed and designed by the utility model, common clinical manifestations in breast physical examination can be reproduced in the model, and the text content in a book is visually improved, so that the clinical teaching efficiency can be improved, meanwhile, the clinical teaching work is helped to solve the problem of privacy of a patient, and the medical high-simulation breast model has a relatively high clinical application value.

The application discloses a kind of based on pre-training language model's fetal congenital heart disease diagnosis and treatment text generation method and system, it is related to fetal congenital heart disease diagnosis and treatment technical field.The method is by selecting biomedical field pre-training model, and further fine-tuning is carried out in fetal congenital heart disease field, while constructing the knowledge graph of fetal congenital heart disease, and using search enhancement generation technology real-time into generation process with professional knowledge.The direction of generation is guided by designing structured prompt word, and an expert verification and feedback mechanism is introduced for iterative optimization, and finally a high-quality, personalized simulation diagnosis and treatment text that meets clinical practice is generated.The application effectively solves the problem of professional, accuracy and logical consistency in medical text generation, and the generated text can be used for decision support, clinical teaching and research data enhancement, with high fidelity, personalization and real-time knowledge advantages.

The invention discloses a clinical teaching management method and system based on the Internet, and relates to the field of clinical teaching management.The clinical teaching management system comprises a data acquisition module, a practice module, a groove learning module and an early warning adjustment module.The method comprises the following steps that operation action coherence of all students is judged and analyzed, so that operation comprehensive coherence values of all the students are obtained; analyzing the case information collection and arrangement ability of each student to obtain a disease information integer value of each student, judging the clinical practice physique detection condition of each student to obtain a physique deviation detection value of each student, and judging the practice state of each student to obtain a practice through detection integer value of each student; according to the technical scheme, the special-purpose balance ability, the emotion input and the autonomous learning of each student are analyzed to obtain the trench learning flat value of each student, the clinical comprehensive performance of each student is graded, corresponding early warning and adjustment are given out, the judgment of the student state can be monitored in a multi-dimensional and multi-angle mode, and the efficiency of clinical teaching is improved.

The present application relates to the field of online teaching video processing, and more particularly to a clinical teaching management method and system based on the Internet, which determines a feature region based on the dense parameters of the moving track of the target contour center point in each video region of the sample teaching video, considers screening out effective frames according to the relative position relationship between the target contour center point and the feature region in each video frame, combines the effective video frame segments, calculates a dynamic difference parameter according to the difference of the target contour center point coordinates in each video frame of each sample teaching video segment, screens out effective video frame segments, and subsequently compares and calculates the fitting parameters of the sample video segment and each effective video segment by preferentially comparing the target contour in the sample video with the target contour in the effective video segment after splitting and extracting the target contour of the sample video, and determines the abnormal video segment. Through the above process, only the part with strong data representation in the sample video is analyzed, and the identification accuracy of the abnormal video segment in the sample video is ensured on the premise of saving computing power.

This invention discloses a highly realistic brain abscess teaching simulator, including a simulated head model, a brain abscess simulation module, a brain abscess control module, and an intracranial pressure monitoring module. The brain abscess simulation module has an internal cavity, and a brain abscess is simulated by injecting gas or liquid into the cavity. The brain abscess control module controls the data of the injected gas or liquid according to the abscess data. The intracranial pressure monitoring module monitors changes in intracranial pressure in real time. The highly realistic brain abscess teaching simulator provided by this invention has the following advantages: (1) Existing brain abscess simulators will open up new paths for clinical medical teaching, allowing medical students to better get closer to clinical practice through simulators for many clinical teaching tasks that are otherwise impossible to implement. (2) Brain abscess simulators have wide applications and can solve most of the clinical diagnosis and treatment teaching of critical intracranial infections. (3) The development of brain abscess simulators can help shorten the training cycle of neurosurgeons.

The present application relates to the technical field of medical teaching, and particularly relates to a simulation inquiry method, device and equipment based on clinical teaching, which comprises the following steps: acquiring inquiry training data set; inputting the inquiry training data set into a pre-training model for inquiry and answer training, and determining the update energy of each weight of the pre-training model; judging whether the update energy of each weight is less than a threshold value, the threshold value being determined based on the momentum value distribution of the pre-training model; if yes, deleting the weight to obtain a compressed training model; fine-tuning the compressed training model to obtain a target reply model; fine-tuning the compressed training model to obtain a target reply model; based on the target reply model, performing simulation inquiry training on medical students or resident doctors; through lossy compression of the model, deleting unimportant weights, reducing the storage requirement of the model and reducing the inference calculation amount of the model, accelerating the inference speed, improving the performance of the model in simulation inquiry training, and further improving the training effect.

The invention provides an intelligent clinical teaching system and method, which are used for responding to query statements of multiple rounds of questions and answers by an intelligent agent simulating a patient through a virtual patient, obtaining corresponding answer statements based on a personalized knowledge sub-graph corresponding to the virtual patient, and feeding back the answer statements to a learner, each round of questions and answers corresponding to an inquiry node of an inquiry path. The intelligent agent not only can support complex semantic generation and teaching reasoning and realize that each round of questions and answers accord with a medical logic relationship, but also can realize accurate control of multiple rounds of questions and answers on an inquiry path, so that the intelligent degree of clinical teaching is improved, and the teaching, research and development requirements of medical knowledge can be better met.

The utility model discloses a blood vessel plaque rotary cutting training simulation device, which belongs to the medical field and clinical teaching auxiliary field and comprises a training bottom plate, an adjusting mechanism is mounted on the upper surface of the training bottom plate, and a simulation mechanism is mounted on one side of the upper surface of the training bottom plate. The adjusting mechanism comprises guide grooves formed in the upper surface of the training bottom plate in a path array mode, and sliding rods are slidably connected into the guide grooves. Through cooperative use of the devices, a blood vessel module is inserted between the arc-shaped clamping plates, the blood vessel module is limited by the clamping block and the water pump, and the mounting block slides to drive the arc-shaped clamping plates and the blood vessel module to move to different positions, so that the blood vessel module forms different shapes; the blood vessel module simulates the complex trend of blood vessels in the human body, the blood vessel module simulates more real blood vessels, the flow velocity of the blood product simulant can be adjusted through the water pump, and more real blood vessel internal conditions can be simulated.

The invention relates to the technical field of medical informatization and clinical teaching management, in particular to a dental pulp disease department teaching grading diagnosis and treatment system which comprises a case difficulty assessment module, a student ability assessment module, a triage decision module, a task allocation and notification module, a data management and supervision module and an external system integration layer. The triage accuracy can be improved, the diagnosis and treatment safety is guaranteed, stepped growth of students is promoted, and the teaching resource utilization efficiency is improved.