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59 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.
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
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
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
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
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
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
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
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
An intelligent traditional Chinese medicine acupuncture point selection method and system based on meridian syndrome differentiation
The application provides an intelligent Chinese medicine acupuncture point selection method and system based on meridian syndrome differentiation. Through three-dimensional reconstruction model, high-precision modeling of patient body surface feature points is performed, combined with statistical shape model and re-projection error minimization method, individual body surface three-dimensional structure can be accurately restored, and accurate geometric reference is provided for subsequent acupoint mapping. The spatial mapping relationship between the body surface feature points and the meridian acupoint feature points is learned by using a multilayer perceptron neural network, which can effectively capture the nonlinear individual differences and realize intelligent deduction from the body surface morphology to the acupoint position. A virtual engine generates a large number of diversified virtual patient images, and a convolutional neural network is trained to directly detect the two-dimensional coordinates of the acupoints from the real images, thereby improving the generalization ability and robustness of the network in actual application. The acupoint coordinates obtained by weighted fusion of the geometric projection and the deep learning detection of the two methods are fully utilized to improve the acupoint selection accuracy.
Owner:REHABILITATION UNIVERSITY QINGDAO CENTRAL HOSPITAL
Psychological consultation skill assessment and training system based on virtual patient
PendingCN121639414AData processing applicationsBiological modelsPhysical medicine and rehabilitationPhysical therapy
The invention discloses a psychological counseling skill assessment and training system based on a virtual patient, and relates to the field of artificial intelligence. According to the psychological consultation skill assessment and training system based on the virtual patient, language and non-language interaction of a real consultation scene is restored through multi-mode virtual patient modeling, a VR immersive scene and a dynamic emotional response technology, the immersion feeling is close to face-to-face consultation, and the interaction authenticity and immersion feeling between a trainee and the patient can be improved; multi-modal data and a multi-treatment theory are fused, a complete competency assessment system is constructed, and the subjective and one-sided problems of traditional assessment are solved; a multi-modal feature decoupling fusion technology and a hierarchical memory-driven skill evaluation system are adopted, and a plurality of psychological treatment theoretical models are combined, so that dynamic emotion response and case evolution of virtual patients are realized, a safe, repeatable and efficient immersive training environment is provided for psychological major students and first-order consultants, and the training efficiency is improved. And the consultation skill and the clinical strain capability of the trainee are obviously improved.
Owner:HANDAN PRESCHOOL TEACHERS COLLEGE
Simulation data analysis method and system for virtual training of emergency personnel
ActiveCN121839173AImprove time accuracyReal training process dataInput/output for user-computer interactionMedical data miningVirtual trainingSimulation
The invention relates to the technical field of virtual training, and provides a simulation data analysis method and system for virtual training of first-aid personnel, the method is applied to a simulation server, and the method 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 an original timestamp of each first-aid event in the plurality of first-aid events and a transmission delay duration of each first-aid event; for a target first-aid event in the multiple first-aid events, determining an adjustment timestamp of the target first-aid event according to the target information, the original timestamp of the target first-aid event and the transmission delay duration of the target first-aid event; the target first-aid event is any one first-aid event in a plurality of fruit first-aid events; and arranging the adjustment timestamps of the plurality of first-aid events according to a time sequence to obtain training process data of virtual training of the first-aid personnel. The time sequence accuracy of simulation data analysis of virtual training of first-aid personnel can be improved.
Owner:WENZHOU MEDICAL UNIV
SYSTEM AND METHOD FOR CREATING A VIRTUAL MODEL OF A VIRTUAL PATIENT
Owner:SIEMENS HEALTHINEERS AG
Diagnosis and treatment thinking dynamic simulation training method and system based on computable physiological model
The invention relates to the technical field of medical simulation training, in particular to a diagnosis and treatment thinking dynamic simulation training method and system based on a computable physiological model, and the method comprises the steps: instantiating a virtual patient model defined by a physiological state vector, a clinical expression vector and a static parameter; receiving a user diagnosis and treatment operation instruction; according to the medical knowledge rule base, the influence of the coupling differential equation set dynamic calculation operation on the physiological state vector is solved; according to the updated physiological state, generating a corresponding clinical manifestation vector through a mapping function; the clinical manifestation is converted into a multi-mode feedback signal to be output; and forming an interactive training cycle, and performing multi-dimensional quantitative evaluation based on the complete operation sequence and the final state of the model. The system takes a computable model as a core, realizes continuous dynamic evolution and response of cases, and can effectively train and evaluate the high-order diagnosis and treatment thinking ability of clinicians.
Owner:SOUTH CHINA HOSPITAL OF SHENZHEN UNIVERSITY
Data generation device, data generation method, and recording medium
The data generation device includes an acquisition unit, a virtual patient data generation unit, a time-series data generation unit, and an output unit. The acquisition unit acquires data regarding a treatment of a patient. The virtual patient data generation unit generates data regarding treatment in each stage of the medical condition of the virtual patient based on the data regarding treatment of the patient. The time-series data generation unit generates time-series data regarding the medical condition of the virtual patient from the generated data regarding treatment of the virtual patient. The output unit outputs the generated time-series data regarding the medical condition of the virtual patient. With such a configuration, the data generation device can support decision-making regarding the patient’s medical condition.
Owner:NEC CORP
Real-time penicillin anaphylaxis simulation teaching system
PendingCN121838559AMedical simulationInput/output for user-computer interactionPenicillin allergySaturation oxygen
The invention discloses a real-time penicillin anaphylaxis simulation teaching system, and relates to the field of simulation teaching, and the system comprises a data obtaining module which is used for obtaining the multi-modal data of a learner; the preprocessing module is used for preprocessing the multi-modal data to generate interaction data; the anaphylaxis degree calculation module is used for calculating the severity of anaphylaxis according to the interaction data; the anaphylaxis grade calculation module is used for calculating the anaphylaxis grade according to the severity of the anaphylaxis; the analog simulation module is used for adjusting vital signs of a virtual patient according to the anaphylactic reaction level, and the vital signs comprise the heart rate, the blood pressure and the blood oxygen saturation degree; the operation feedback module is used for generating operation feedback of the learner according to the vital signs of the virtual patient and the interaction data of the learner; the method has the advantage that the emergency response capacity of medical staff to penicillin allergy is improved.
Owner:GUANGZHOU VOCATIONAL & TECH COLLEGE OF HEALTH
Method and system for evaluating comprehensive clinical competency of medical students
PendingCN121998495Aensure safetyimprove protectionData processing applicationsSemantic analysisClinical communicationSemantic alignment
The invention belongs to the technical field of medical education, and discloses a method and a system for evaluating comprehensive clinical competency of medical students, video and audio data in an interaction process of the medical students and virtual patients are collected, a response text is obtained in combination with a voice recognition technology, and the comprehensive clinical competency of the medical students is evaluated through a retrieval enhancement generation technology. Performing semantic alignment on the response text of the medical student and the authoritative medical knowledge base; the method comprises the steps of evaluating language definition, common situation performance, attitude performance, eye contact rate and expression activeness of medical students on the basis of multi-modal data, finally, performing weighted fusion on various quantitative indexes to obtain a comprehensive score, generating a feedback report, and performing encrypted storage on original data; therefore, the problems of mutual separation of professional knowledge and clinical communication ability assessment, strong assessment subjectivity, lack of objective quantitative indexes and insufficient non-language communication assessment in medical student assessment in a current medical education system are solved.
Owner:ARMY MEDICAL UNIV
A basic nursing skill training system based on a large language model and deep learning
ActiveCN120931451BCosmonautic condition simulationsData processing applicationsClosed loopEngineering
The application 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. A user terminal device is installed with a training system application program, which is used for user login, selection of a training module and display of operation content; an image acquisition device is used for real-time acquisition of video data of a simulated operation area in a user operation process; a voice interaction device is used for acquisition of user voice input and playing of voice feedback of a virtual patient; a processing control unit is used for running a large language model and a deep learning algorithm, so that visual recognition of an operation process and intelligent processing of voice interaction are realized; and an evaluation feedback module is used for multi-dimensional evaluation of operation standardization and communication performance of a user and generation of a real-time feedback report. The application realizes a complete intelligent teaching closed loop. The three core abilities of operation standardization, clinical thinking and communication effectiveness can be automatically evaluated in a whole process, in multiple dimensions and in granulation.
Owner:CHENGDU TME SOFTWARE
A virtual patient modeling method, electronic device, storage medium and program product
This application provides a virtual patient modeling method, electronic device, storage medium, and program product. The method includes: acquiring surface morphology data, internal tomographic image data, and dynamic functional state data of the object to be modeled; generating three-dimensional surface point cloud data based on the surface morphology data, generating voxel model data based on the internal tomographic image data, and generating motion trajectory data based on the dynamic functional state data; performing spatial registration and fusion processing on the three-dimensional surface point cloud data, the voxel model data, and the motion trajectory data using a fusion reconstruction algorithm to generate a three-dimensional mesh model including pathological state characterization information; and generating a virtual patient model based on the three-dimensional mesh model. This solves the problem of lacking pathological features in modeling from a single data source and improves the realism of the model.
Owner:PEKING UNIV SCHOOL OF STOMATOLOGY
Neuroimmunological disease immersive virtual patient diagnosis and treatment thinking training system
ActiveCN121746139BData processing applicationsMedical practises/guidelinesDiseasePhysical medicine and rehabilitation
The application provides a neuroimmunological disease immersive virtual patient diagnosis and treatment thinking training system, which 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 capacity quantitative evaluation module which are sequentially connected and constitute a closed loop optimization. The application aims to solve the pain points of "scene static, lack of thinking evaluation, AI scheme deviating from clinic and lack of closed loop optimization" in the existing neuroimmunological disease diagnosis and treatment training.
Owner:RENJI HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE
Computer-implemented method for operating an imaging X-ray device, X-ray device, computer program and electronically readable data carrier
The invention relates to a computer-implemented method for operating an imaging X-ray device (15), wherein a virtual patient model (7) is provided for an examination procedure of a patient. - the virtual patient model (7) of the patient, which describes at least the surface (6) of the patient, is determined based on patient information describing the patient, - a model position for the patient model (7) is determined in a coordinate system (10) of the X-ray device (15), in which the radiation distribution during an X-ray image of the examination procedure is also known, and - the patient model (7) is positioned according to the model position, wherein, to determine the position of the patient model (7), at least one X-ray image (1) of the examination procedure, which is taken at a current patient position of the patient in the X-ray device (15) and is available in the coordinate system (10) of the X-ray device (15), is supplied as input data to a trained position determination function (3), the output data of which describe an assignment of at least one distinguished point of the patient model (7) to at least one distinguished point of the X-ray image (1), wherein the model position is determined from the output data.
Owner:SIEMENS HEALTHINEERS AG