18 results about "Clinical teaching" patented technology

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.

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 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 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.