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89 results about "Virtual patient" patented technology
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The term virtual patient is used to describe interactive computer simulations used in health care education. The special focus is targeted on the simulation of clinical processes with virtual patients. Virtual patients combine scientific excellence, modern technologies and the innovative concept of game-based learning. Virtual patients allow the learner to take the role of a health care professional and develop clinical skills such as making diagnoses and therapeutic decisions. Virtual patients have also been considered computer-based simulations designed to complement clinical training. The use of virtual patient programmes is increasing in healthcare, partly in response to increasing demands on health care professionals and education of students but also because they allow opportunity for students to practice in a safe environment. There are many different formats a virtual patient may take. However the overarching principle is that of interactivity—a virtual patient will have mechanisms for the learner to interact with the case and material or information is made available to the learner as they complete a range of learning activities. Interactivity is often included with questions, specific decision-making tasks, text-composition etc. and is non-sequential. Most systems provide quantitative and qualitative feedback.
AR auxiliary training system for improving diagnosis and treatment capability of general practitioner on undifferentiated diseases
PendingCN121148203AMedical communicationInput/output for user-computer interactionHead movementsSpatial positioning
The invention relates to the technical field of auxiliary training, and discloses an AR auxiliary training system for improving the diagnosis and treatment capability of general practitioners on undifferentiated diseases, and an immersive training environment is constructed by adopting an augmented reality technology. The system comprises an environment sensing module, a space positioning module, a case data module, a virtual rendering module, an interactive acquisition module, an intelligent response module, a state control module and an evaluation calculation module. The environment sensing module adopts an RGB-D camera and an inertial measurement unit to collect environment and head movement data of a user; the spatial positioning module determines a virtual patient placement position based on an SLAM algorithm; the virtual rendering module renders a three-dimensional virtual patient in a real environment; the interaction acquisition module supports voice and gesture multi-mode interaction; the intelligent response module generates an intelligent patient answer; the evaluation calculation module carries out comprehensive evaluation from three dimensions. The invention provides a highly immersive and intelligent training environment, and has the advantages of low cost, reusability and high standardization degree.
Owner:THE FIRST PEOPLES HOSPITAL OF NANTONG
AI-based nursing teaching scene construction and evaluation system
The invention relates to the technical field of intelligent education, in particular to an AI-based nursing teaching scene construction and evaluation system. According to the system, a dynamic case script is generated through historical case data, and a virtual patient physiological model is constructed; creating three teaching scenes of community follow-up visit, emergency rescue and traditional Chinese medicine nursing fusion by using a mixed reality technology; a personalized learning portrait of the student is constructed through a pre-test, and accurate matching between the ability of the student and the teaching content is formed; a double-track system skill training module is built, and AI tutor guidance and teacher guidance are integrated; and an ability evaluation system based on operation data is established, and intelligent pushing of adaptive training content is realized. The problems that in traditional nursing teaching, scene authenticity is insufficient, personalized training is insufficient, and clinical thinking is difficult to cultivate are solved, and the clinical operation skill and decision judgment ability of students are improved.
Owner:长春人文学院
Intelligent evaluation method and system for pharmaceutical service and teaching ability
PendingCN121119848AMedical data miningData processing applicationsPharmaceutical medicineHuman–computer interaction
The invention discloses an intelligent evaluation method and system for pharmaceutical service and teaching ability, and the method comprises the steps: building an interaction session between a scoring target and a virtual patient based on the generated virtual patient; marking key pharmaceutical behavior nodes and pharmaceutical related statement content of the scoring target in the interaction session; and based on the marked key pharmaceutical behavior node and the pharmaceutical related statement content, intelligently generating an evaluation score of the interactive performance ability of the scoring target in the pharmaceutical service scene. According to the application, the on-site strain capability of pharmacists or students can be effectively improved, the dependence on entity training resources is remarkably reduced, the fairness and reliability of assessment results are ensured, the training efficiency is greatly improved, and the differentiated training requirements of different scenes are met.
Owner:XIEHE HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI & TECH UNIV
Sputum suction operation training method and system based on virtual reality technology
InactiveCN121011123ACosmonautic condition simulationsDesign optimisation/simulationTraining periodSimulation
The invention relates to the technical field of medical training, and discloses a sputum suction operation training method and system based on a virtual reality technology. The method comprises the steps that historical operation records of a trainee are collected, key operation nodes are extracted, and an airway state model of a virtual patient is constructed based on the nodes; secondly, setting a virtual sputum suction equipment model, performing a multi-working-condition simulation test on the virtual sputum suction equipment model to obtain operation response characteristics, and mapping the equipment model into the virtual airway state model; then calculating a secretion distribution parameter of a virtual airway in a training period and a theoretical clearance load of virtual equipment, and combining operation response characteristics to obtain an operation intensity parameter; generating an operation triggering instruction sequence based on the operation intensity parameter, and performing staged operation control on the virtual equipment according to the sequence; and finally, carrying out quantitative evaluation on the operation effect of the virtual equipment in the virtual airway. According to the method, a targeted virtual training scene can be constructed, a real operation response is restored, and accurate tracking and effect quantitative evaluation of the operation process are realized.
Owner:THE THIRD AFFILIATED HOSPITAL OF GUANGZHOU MEDICAL UNIVERSITY (GUANGZHOU SEVERE MATERNAL TREATMENT CENTER GUANGZHOU ROUJI HOSPITAL)
Medical teaching and training system based on AI-driven high-simulation SP medical history collection
PendingCN121393239ACosmonautic condition simulationsData processing applicationsMedicineTeaching tool
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.
Owner:YINGKOU JUCHENG DEV LTD OF TEACHING +1
Standardized training system based on large model and virtual generation technology
PendingCN121050570AInput/output for user-computer interactionCosmonautic condition simulationsEngineeringMachine learning
The invention provides a standardized training system based on a large model and a virtual generation technology, belongs to the technical field of artificial intelligence medical education, deeply fuses a large model technology in the field of artificial intelligence and a virtual generation technology in the field of virtual reality, and improves the training efficiency by integrating an advanced voice interaction function. Voice instructions of intern doctors can be responded in real time, and natural and smooth dialogue communication is achieved. Meanwhile, by means of the virtual generation technology, the system can generate a highly-vivid virtual patient image, the appearance, expression and action of the patient are adjusted according to specific cases, and the reality sense of simulation is further enhanced. In addition, a synchronous mouth shape technology is also adopted, so that the mouth shape of the virtual patient is accurately matched with voice output, and the immersion experience of interaction is improved. By combining customized training and a controllable generation strategy of a large model, complex cases can be effectively simulated, real medical data can be fully utilized on the premise of protecting patient privacy, and simulation accuracy and practicability are improved.
Owner:SHANDONG LANGCHAO YUNTOU INFORMATION TECH CO LTD
Basic nursing skill training system based on large language model and deep learning
ActiveCN120931451ACosmonautic condition simulationsData processing applicationsClosed loopEngineering
The invention discloses a basic nursing skill training system based on a large language model and deep learning, and belongs to the technical field of nursing skill training. The user terminal equipment is provided with a training system application program and is used for user login, training module selection and operation content display; the image acquisition equipment is used for acquiring video data of a simulation operation area in a user operation process in real time; the voice interaction device is used for collecting voice input of a user and playing voice feedback of a virtual patient; the processing control unit is used for running a large language model and a deep learning algorithm and realizing intelligent processing of visual identification and voice interaction of an operation process; and the evaluation feedback module is used for performing multi-dimensional evaluation on the operation normalization and communication performance of the user and generating a real-time feedback report. According to the invention, a complete intelligent teaching closed loop is realized. And full-process, multi-dimensional and granulated automatic evaluation can be carried out on three core capabilities, namely operation normalization, clinical thinking and communication effectiveness.
Owner:CHENGDU TME SOFTWARE
Immersive virtual patient diagnosis and treatment thinking training system for neural immune diseases
The invention provides an immersive virtual patient diagnosis and treatment thinking training system for neural immune diseases. The immersive virtual patient diagnosis and treatment thinking training system comprises a multi-dimensional case holographic modeling module, a diagnosis and treatment thinking anchor point dynamic capturing module, a double-AI collaborative diagnosis and treatment deduction module, an evidence-based feedback and thinking correction module and a diagnosis and treatment capability quantitative evaluation module which are in data connection in sequence and form closed-loop optimization. The objective of the invention is to solve the pain points of scene staticization, thinking assessment deficiency, clinical separation of an AI scheme and no closed-loop optimization in existing neural immune disease diagnosis and treatment training.
Owner:RENJI HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE
Multi-mode artificial intelligence virtual patient inquiry teaching system
PendingCN121306468AMedical data miningDigital data information retrievalMachine learningNetwork medicine
The invention discloses a multi-modal artificial intelligence virtual patient inquiry teaching system. The system comprises a case arrangement agent, a dialogue planning agent, a portrait and emotion agent, an image acquisition module, a double-flow emotion representation fusion network, a medical verification agent and a teaching feedback agent. According to the invention, through multi-agent cooperative work of the case arrangement agent, the dialogue planning agent, the portrait and emotion agent, the medical verification agent and the teaching feedback agent, accurate presentation of medical information and true expression of a natural language of a virtual patient in an inquiry process are realized. The system can automatically identify questioning intentions of students, call a case manuscript fact unit and generate answers conforming to medical logic and humanistic features in combination with patient portraits and emotional states, thereby greatly improving authenticity of inquiry interaction and medical rationality.
Owner:THE AFFILIATED SIR RUN RUN SHAW HOSPITAL OF SCHOOL OF MEDICINE ZHEJIANG UNIV
Training method of inquiry large model and inquiry method based on large model
PendingCN120849543AMedical communicationDigital data information retrievalDiagnosis methodsData mining
The invention provides a training method of an inquiry large model and an inquiry method based on the large model, and relates to the field of artificial intelligence, in particular to the technical field of large models, deep learning and AI medical treatment. Based on the sample chief complaint information, performing retrieval enhancement in medical references to generate RAG so as to generate an inquiry knowledge base; acquiring a virtual patient portrait corresponding to the sample chief complaint information; simulating a patient role according to the virtual patient portrait through a multi-modal large language model, and simulating a doctor role according to the inquiry knowledge base; guiding the doctor role and the patient role to carry out inquiry dialogue interaction according to the inquiry knowledge base through a multi-mode large language model, and obtaining inquiry dialogue data; according to the inquiry dialogue data, supervision fine tuning SFT is carried out on the base large model, and a target inquiry large model is obtained.According to the method, multi-round inquiry and cross-modal reasoning can be carried out on the basis of the target inquiry large model, the inquiry ability in a complex inquiry scene is remarkably improved, and the practicability and accuracy of an inquiry result are improved.
Owner:BEIJING BAIDU NETCOM SCI & TECH CO LTD
A simulation data analysis method and system for virtual training of first responders
The application relates to the technical field of virtual training, and provides a simulation data analysis method and system for virtual training of first aid personnel, which is applied to a simulation server and comprises the following steps: obtaining target information and first aid information of the first aid personnel on a target virtual patient; the first aid information comprises original time stamps of each first aid event in multiple first aid events and transmission delay time lengths of each first aid event; for a target first aid event in the multiple first aid events, original time stamps of the target first aid event and transmission delay time lengths of the target first aid event are determined according to the target information, the original time stamps of the target first aid event and the transmission delay time lengths of the target first aid event; the target first aid event is any one of the multiple first aid events; the adjusted time stamps of the multiple first aid events are arranged in chronological order to obtain training process data of virtual training of the first aid personnel. The simulation data analysis timing accuracy of virtual training of the first aid personnel can be improved.
Owner:WENZHOU MEDICAL UNIV
A method and system for virtual standardized patient avatar generation and dialogue
ActiveCN121545653BMedical communicationDigital data information retrievalSemantic vectorHuman–computer interaction
The application discloses a kind of virtual standardization patient image generation and dialogue method and system, comprising: using large language model to extract the multidimensional information of patient from original medical data and construct structured case data, infer the visual features of patient, and integrate visual features as portrait description prompt word;Using text encoder, portrait description prompt word is converted into high-dimensional semantic vector, guide latent diffusion model to generate patient portrait image in line with medical data;Convert user voice signal into natural language text as role prompt word;According to the structured case data of patient and preset emotional factor, system prompt word is constructed;Using large language model and based on role and system prompt word, the reply text of user voice signal is generated;Start voice engine to convert reply text into reply voice, and output reply voice through loudspeaker.The application can generate virtual patient entity with visual, audible and intelligent interaction capability according to static medical text.
Owner:THE SECOND XIANGYA HOSPITAL OF CENT SOUTH UNIV
A real scene interactive anesthesia simulation training management method and system based on VR technology
The application discloses a real scene interactive anesthesia simulation training management method and system based on VR technology, and relates to the technical field of intelligent medical simulation, which comprises the following steps: generating a virtual three-dimensional anatomical view by using a generative adversarial network based on MRI / CT images and medical records of a patient, configuring a linear mapping function by using a linear regression method, generating virtual patient physiological parameters, and embedding the virtual patient physiological parameters into the virtual three-dimensional anatomical view to obtain a virtual patient model; calculating the interaction force of a puncture needle in the virtual patient model in real time by macroscopic finite element analysis and microscopic molecular dynamics; and calculating the interaction force deviation value and the anesthetic deviation value based on the interaction force and the pharmacodynamic curve, and giving real-time prompts to a trainee through a VR head-mounted display and a tactile glove. By generating the virtual patient model, the application realizes accurate modeling of individualized anatomical structures and physiological parameters, and significantly improves the authenticity and individualization of the patient simulation.
Owner:南昌大学第一附属医院
System and method for generating a virtual model of a virtual patient
A system for generating a virtual model of a virtual patient including: a template module to provide a morphable virtual 3D mesh template for a virtual model of a human organ; an anatomical parameters module to provide a range of values for each adjustable anatomical parameters of the virtual model, each value associated with a morphed state of the template; a plausibility module to provide at least one relation for the template in at least one morphed state, the relation being between at least two of the parameters; an instantiation module to provide, using a pseudo-random number generator, a parameter set including, for each parameter of the virtual model, a value of the corresponding range of values, while fulfilling the at least one relation; and a generating module to generate the virtual model based on the template in the morphed state corresponding to the selected parameters.
Owner:SIEMENS HEALTHINEERS AG
A cloud platform-based traditional Chinese medicine chronic disease home nursing method
The application discloses a traditional Chinese medicine chronic disease family nursing method based on a cloud platform, relates to the technical field of intelligent health services, and comprises the following steps: performing deep fusion and intelligent analysis on a family nursing data package by constructing a virtual patient model, generating personalized data of patient physiological indexes and traditional Chinese medicine syndrome states, generating a customized family nursing candidate scheme based on the personalized data of the patient physiological indexes and the traditional Chinese medicine syndrome states, combining behavior prediction analysis, intelligently evaluating and real-time feeding back, and forming a traditional Chinese medicine chronic disease family nursing management scheme according to a nursing scheme set, combining physiological index and symptom data analysis correction. The application can accurately reflect the current health state of a patient by collecting physiological data and traditional Chinese medicine syndrome information of the patient, combining family environment data, constructing a dynamically updated virtual patient model, and realizing the personalization and dynamic adaptation of a nursing scheme.
Owner:THE FIRST MEDICAL CENT CHINESE PLA GENERAL HOSPITAL
Multi-scene self-adaption-based pharmacist clinical ability assessment method and system
PendingCN122089170AAvoid evaluation distortion problemseasy to identifySemantic analysisBiological modelsPharmaceutical medicinePharmacist
The invention provides a pharmacist clinical ability assessment method and system based on multi-scene self-adaption, and relates to the technical field of pharmacist ability assessment, and the method comprises the steps: configuring a standard diagnosis and treatment process, a mapping rule of an operation event and a diagnosis and treatment step, and a reference weight vector of five ability dimensions for various assessment scenes in advance; performing multi-modal data acquisition on the assessment interaction process of the pharmacist and the virtual patient to obtain a dialogue text sequence; performing semantic coding and context modeling on the dialogue text sequence to obtain a global dialogue abstract vector; obtaining a five-dimensional score vector based on the dialogue text sequence, the diagnosis and treatment step sequence and the pharmaceutical knowledge graph; adopting an adaptive weight network to generate fusion weight vectors of five capability dimensions; and carrying out weighted aggregation on the five-dimensional score vector by using the fusion weight vector to obtain a comprehensive score, and outputting a structured evaluation report. According to the method, the defects of single evaluation scene, shallow scoring dimension and weight logic solidification in the prior art can be overcome.
Owner:XIEHE HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI & TECH UNIV
Defective medical data generation method
PendingCN121938538AMedical simulationMedical automated diagnosisClosed loop feedbackMedical diagnosis
The invention relates to the field of medical data processing, and discloses an imaginary medical data generation method, which comprises the following steps: S1, constructing a dynamic medical knowledge graph containing rare disease knowledge; s2, constructing a virtual patient model, and carrying out probability modeling on a disease development process; s3, using a deep learning algorithm to generate virtual patient data under the guidance of the virtual patient model, and synchronously recording associated knowledge path metadata; s4, performing post-processing on the generated data; s5, providing the data to a medical diagnosis platform; s6, establishing a performance feedback module, and collecting and evaluating performance indexes of the downstream medical diagnosis model; and S7, executing attribution analysis and adaptive optimization. According to the method, the medical logicality of the data is ensured through the strong constraint of the knowledge graph, and the continuous iterative improvement of the data quality according to the application effect is realized through a closed-loop feedback mechanism.
Owner:BEIJING QUANKE ONLINE TECH CO LTD
A knowledge graph-based method for simulating interaction in a clinical experimental environment
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.
Owner:HANGZHOU KANGSHENG HEALTH CONSULTING CO LTD +1
Dental simulation workbench training system and method based on spatial computing technology
This application provides a dental simulation workbench training system and method based on spatial computing technology, for solving problems that prior simulator only supports single-player use, only trains based on an oral model, lacks full-process doctor-patient communication. A virtual-real fusion head-mounted display acquires positioning data of physical objects in real space. A situation observation server arranges virtual entities and generates a scene file. A simulation computer generates a mixed-reality treatment scenario, a virtual patient, and dental instruments from the scene file, allowing a complete patient journey, from entry to the end of treatment, to be replicated. Force sensation information is generated, and both poses of a force tool and a virtual tool are controlled to match with a pose of a force feedback tool. A user wears the head-mounted display to perform treatment. Multiple people are supported to watch the treatment of the same dental simulation workbench through a network.
Owner:BEIJING UNIDRAW VR TECH RES INST CO LTD
Method and apparatus for controllable generation of virtual populations of anatomy
PCT designated stageWO2026003472A1Medical simulationMedical automated diagnosisPattern recognitionAnatomical structures
There is provided a method for training a machine learning system to generate at least one organ shape for use in an in-silico assessment, the method comprising: receiving at least one organ mesh, and at least one patient attribute data associated with the at least one organ mesh; encoding the at least one organ mesh using data derived from the at least one associated patient attribute to learn a conditional latent representation of the at least one organ mesh; applying at least one latent flow layer to the conditional latent representation of the at least one organ mesh to form a transformed conditional latent representation of the at least one organ mesh, wherein the at least one latent flow layer transforms a unimodal conditional latent representation output from the encoder into a multi- modal conditional latent representation; and decoding the transformed conditional latent representation of the at least one organ mesh to form a reconstructed organ mesh dependent on the at least one patient attribute, wherein the reconstructed organ mesh data comprises an instance of a virtual patient to be included in a virtual population for use in the in-silico assessment.
Owner:UNIVERSITY OF LEEDS
An agent generation method for diagnosis and related equipment
This application relates to the field of computer technology and provides a method and related equipment for generating intelligent agents for diagnosis. The method generates a virtual object containing temporal pathological feature data based on a preset disease evolution template; controls an initial diagnostic agent to interact with the virtual object in multiple rounds to obtain a temporal diagnostic strategy output by the initial diagnostic agent; generates feedback results for the initial diagnostic agent based on the diagnostic strategy and the target diagnostic scheme corresponding to the virtual object; and optimizes the parameters of the initial diagnostic agent based on the feedback results to generate a target diagnostic agent. By constructing a disease evolution template, this application can generate virtual patient data with continuous temporal features at low cost and on a large scale, enabling the diagnostic agent to be exposed to the complete disease progression logic from the latent stage to the critical stage during the training phase, thereby improving the model's generalization ability.
Owner:北京衔远有限公司
Emergency rescue simulation training system in child electronic bronchoscope operation
PendingCN120748290ACosmonautic condition simulationsEducational modelsPatient modelPhysical medicine and rehabilitation
The invention relates to the technical field of virtual simulation, in particular to a child electronic bronchoscope operation emergency rescue simulation training system which comprises a VR device used for presenting a virtual scene of one or more emergency conditions of a virtual patient in a child electronic bronchoscope operation; the patient model is used for being operated and used by an operator; the camera is used for collecting emergency rescue operation executed by an operator aiming at the virtual scene of one or more emergency conditions of the virtual patient; the processing module is connected with the VR equipment and the camera, and is used for judging whether the emergency rescue operation is correct or not, obtaining a judgment result, prompting an operator based on the judgment result, providing a changeable emergency rescue training environment through a virtual scene presented by the VR equipment, providing a more real simulation training feeling for the training of the operator, and improving the training experience of the operator. Therefore, the effectiveness of sudden emergency rescue training in the child electronic bronchoscope operation is improved.
Owner:TONGJI HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI TECH
VR ophthalmic nursing teaching method and system based on virtual reality simulation
PendingCN121075579AInput/output for user-computer interactionMedical data miningOphthalmic nursingOphthalmology department
The invention provides a VR ophthalmology nursing teaching method and system based on virtual reality simulation, and relates to the technical field of virtual reality ophthalmology nursing teaching. The method comprises the following steps: acquiring teaching tasks of operation types in ophthalmology specialized nursing; collecting nursing operation data, including space coordinate information and action time sequence information, of a nurse on the virtual patient digital model through VR glasses equipment and posture sensing equipment; preprocessing the data and then outputting multiple groups of standardized operation characteristic data, wherein each group corresponds to one operation type; accordingly, nursing operation compliance is judged, a matching compliance type is output, and corresponding operation confidence is calculated; and fusing the plurality of operation confidence coefficients to generate a fusion confidence coefficient, further generating an operation feedback signal, and sending the operation feedback signal to the interaction terminal for prompting. According to the invention, through combination of the virtual reality technology and the data processing technology, a brand new solution is provided for ophthalmology nursing teaching.
Owner:BEIJING TONGREN HOSPITAL AFFILIATED TO CAPITAL MEDICAL UNIV
AI standardized patient interaction method and device based on script priority, equipment and medium
The invention discloses an AI standardized patient interaction method and device based on script priority, equipment and a medium, and relates to the field of artificial intelligence, and the method comprises the steps: determining the similarity between a user question and an inquiry question; if a target inquiry problem of which the similarity with the user problem is not less than a preset similarity threshold exists in the inquiry problems, determining a target response corresponding to the user problem based on a problem response corresponding to the target inquiry problem and a variable calculation rule, and returning the target response to the user side; if the target inquiry question does not exist in the inquiry questions, performing classification processing on case contents corresponding to the current virtual patient, determining a question category corresponding to the user question by utilizing a preset large model, recalling target case contents corresponding to the question category from the case contents subjected to classification processing, and displaying the target case contents corresponding to the question category in the current virtual patient. And generating a target response corresponding to the user question based on the target medical record content, and returning the target response generated by the preset large model to the user side. According to the invention, the interaction accuracy is improved.
Owner:INSPUR ENTERPRISE CLOUD TECHNOLOGY (SHANDONG) CO LTD +1
Longitudinal full-course virtual patient generation method and system
The invention discloses a longitudinal whole course virtual patient generation method and system, and the method circularly completes the whole course simulation through the steps of constructing a double-source knowledge base, vectorization processing and semantic matching retrieval, information fusion, interaction content generation and dynamic memory updating. According to the method, medical disease course knowledge and patient personality characteristics are decoupled, semantic retrieval and information fusion are completed based on dense vectors input by a user, current-round interaction content is generated, whole-disease-course interaction information is formed, recursive compression and state updating are achieved through a dynamic abstract memory algorithm, disease course time sequence consistency is effectively guaranteed, and user experience is improved. Medical standardization and case diversity are considered, long-range interaction computing power consumption is reduced, and virtual patient simulation authenticity is improved.
Owner:THE SECOND XIANGYA HOSPITAL OF CENT SOUTH UNIV
Cardio-pulmonary resuscitation simulation training system based on virtual reality
PendingCN121938250AInput/output for user-computer interactionCosmonautic condition simulationsSimulationVia device
The invention relates to the technical field of virtual reality medical training, and discloses a cardio-pulmonary resuscitation simulation training system based on virtual reality. The system comprises a situation configuration module, an operation driving module, a physiological feedback module, an operation guidance evaluation module and a data integration and tracing module. The system receives a situation selected by a user and loads a corresponding anatomical model and pathological data to generate a virtual patient; collecting a user gesture and a force application vector through VR equipment, and driving the model to deform; deducing a vital sign sequence in real time by combining deformation and pathological data, and dynamically adjusting the physiological characterization and sound effect of the patient; performing frame-by-frame space-time alignment and difference measurement on the user operation and the standard regulation, rendering a guide mark at a corresponding position of the VR view field, and judging whether the operation generates expected physiological intervention or not based on the vital sign sequence; and various types of data are integrated to form a traceable training timeline. According to the system, high-simulation training of dynamic physiological response and immersive space guidance is realized.
Owner:THE SECOND AFFILIATED HOSPITAL TO NANCHANG UNIV +1
Ear-nose-throat specialized clinical teaching effect evaluation system based on artificial intelligence
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.
Owner:ZHANGJIAGANG FIRST PEOPLES HOSPITAL
System and method for providing immersive medical training with a virtual patient
PendingUS20260080799A1Cosmonautic condition simulationsFurniture partsPhysical medicine and rehabilitationElectronic systems
An electronic system and method for providing interactive educational content and immersive learning experience are disclosed. According to one embodiment,?
Owner:ANATOMAGE
A method and system for optimizing toxicity management of a car-t cell therapy
The application provides a CAR-T cell therapy toxicity management optimization method and system, relates to the technical field of artificial intelligence, and comprises the following steps: acquiring clinical data of a blood tumor patient receiving a CAR-T cell therapy; performing missing value interpolation and standardization processing on baseline characteristic information and process monitoring data to obtain a standardized data set; obtaining a calibrated virtual patient physiological model according to a preset tumor cell kinetics model, an immune cell kinetics model and a toxicity reaction model; taking the calibrated virtual patient physiological model as an interactive environment to obtain a correlation database; constructing a deep Q network intelligent agent with a maximum reward function as a target to obtain an optimized deep Q network intelligent agent; and inputting the process monitoring data into the optimized deep Q network intelligent agent to obtain a target strategy, so that the individualized CAR-T treatment strategy balancing the therapeutic effect and toxicity can be automatically output by inputting the real-time monitoring data of the patient.
Owner:THE FIRST AFFILIATED HOSPITAL OF MEDICAL COLLEGE OF XIAN JIAOTONG UNIV
A virtual standard patient construction method based on a neural-symbolic architecture
PendingCN122114163ACosmonautic condition simulationsData processing applicationsEngineeringPatient simulation
The application discloses a virtual standard patient construction method based on a neural symbol architecture and belongs to the technical field of digital mental health education; the method comprises the following steps: step one, constructing a training scene logical space; step two, constructing a semantic observation layer; step three, constructing a logical thinking layer; step four, constructing a dependent action layer; and step five, constructing an interpretable feedback layer; the method is used to set the training scene logical space as a basis, predict the probability true value of a doctor-patient behavior atomic proposition through the semantic observation layer, deduce the probability of a patient's psychological state change through symbol logic thinking, drive a probability state machine to execute dependent action and generate feedback, and construct a virtual patient; the method can solve the problems of rigidity of an existing rule-based virtual standard patient and lack of doctor-patient behavior dependence of a virtual standard patient based on a large model, realize more real virtual patient construction, and is convenient for teaching use.
Owner:BEIJING INST OF TECH