217 results about "Medical training" patented technology

A medical image disease diagnostic system that is included in a clinical medical diagnosis workflow. In one embodiment, a user interface is configured to assess a medical imaging application that provides for viewing, analyzing, and annotating of medical images and medical non-image data and medical training data. A processor includes a pre-trained subsystem configured to generate AI pre-trained models based on the medical image and medical non-image data, a training data generation subsystem configured to generate the medical training data, and a medical image model training subsystem configured to transform the medical image and medical non-image data into the medical training data. The medical image model training subsystem is further configured to train or generate the pre-trained AI models based on the medical training data, and a model drift subsystem is configured to determine accuracy of the pre-trained AI models. A diagnostic reporting subsystem configured to generate clinical diagnostic reports.

The invention discloses an osteoarticular disease rehabilitation training optimization system, and relates to the field of medical training, and the system comprises an authority control module which is used for connecting an electronic medical system, obtaining the reading authority of historical and current medical data of a patient, and obtaining the instruction control and data reading authority of each functional module; the multimode acquisition module is used for acquiring pathological bone joints, associated musculoskeletal data and personal basic data through the authority control module, and converting original data into feature vectors of muscle activation degree, bone joint activity degree and skeleton stress distribution of a corresponding area of a patient body; by integrating medical data, musculoskeletal features and economic condition information of a patient, a personalized model is constructed to output an optimal adaptive training item and specific data thereof, the compensatory load of a non-ill-conditioned joint is evaluated, and timely intervention is performed through a fusing mechanism when abnormity is monitored in real time, so that the safety is ensured.

The invention specifically discloses a triage training system and method based on a large language model and a knowledge graph, and relates to the technical field of medical training. The system comprises a multi-modal data sensing and processing module which is used for accessing and processing diversified training data sources; the dynamic time sequence knowledge graph construction and updating module comprises an entity relationship extraction unit, a multi-modal alignment unit and a knowledge fusion and conflict resolution unit; the multi-agent collaborative service module is composed of large language model agents which are special in function and work cooperatively, and comprises an extraction agent, a construction agent, a reasoning agent and a teaching agent; and the immersive interactive training and feedback module comprises a virtual case generation unit, a multi-modal interactive interface and a deep feedback system. According to the invention, the authenticity, accuracy and effectiveness of training are significantly improved, it is ensured that the learned knowledge and skills can efficiently adapt to a real emergency treatment scene, and the accuracy and efficiency of triage classification in emergency treatment are improved.

The invention relates to a medical training analog simulation system based on big data analysis, in particular to the field of medical training analog simulation, the medical training analog simulation system provides an efficient, accurate and dynamically adaptive training environment through cooperative work of a plurality of modules; the data processing module ensures high quality of input data, the construction module improves the generalization ability of the model through transfer learning and multi-task learning, the dynamic optimization module improves the model prediction precision through self-supervised learning and learning rate adjustment, and the real-time feedback module monitors student operation and provides personalized tutoring; the whole system combines high-quality data, intelligent training and real-time feedback, provides accurate and personalized support for medical education and practical training, and improves operation skills and coping ability of students.

System for observing medical conditions and methods used therein include a processor and a memory connected to the processor, wherein the memory contains instructions configuring the processor to receive, from a data repository, a plurality of reference electronic health records and a plurality of reference cardiac data elements, generate medical training data, train at least an observation machine learning model using the generated medical training data, receive a query pertaining to a subject, wherein the query includes at least a query cardiac data element and at least a query electronic health record, and output at least an observation outcome as a function of the query using the at least an observation machine learning model.

The invention discloses a medical training evaluation method and system based on an intelligent simulation patient, and relates to the field of artificial intelligence technology and medical simulation, and the method comprises a virtual patient model construction step, a multi-modal perception step, an intelligent interaction step and an intelligent evaluation step. By integrating voice recognition, natural language understanding, facial expression recognition, gesture recognition and virtual reality technologies, a high-simulation and high-interactivity intelligent patient model is constructed for medical students or clinical medical staff to perform diagnosis and treatment training and skill operation assessment. The virtual patient model supports custom information such as age, gender, race, medical history, living habits and the like, different virtual patient images and different pathophysiological states are generated, and personalized learning requirements of users are met. In addition, targeted training suggestions are provided, the training difficulty and content can be adjusted according to the performance of the user, and different training requirements are met.

The invention discloses an insurance evaluation large model training method and device, equipment and a storage medium, and relates to the technical field of data processing. Comprising the steps of performing data compliance processing on medical training data and financial training data provided by participants participating in model training through a federal learning architecture in a preset distributed data management component to obtain compliance data; reading compliance data from a preset distributed data management component based on a preset data fusion engine, and performing fusion processing to obtain cross-domain fusion data; obtaining cross-domain fusion data by using a preset large model joint training framework, and generating a target model training task based on the model training capability corresponding to each participant; and training the to-be-trained model according to the target model training task and the cross-domain fusion data to obtain a target insurance evaluation large model so as to perform medical insurance information evaluation based on the target insurance evaluation large model. In this way, efficient retrieval and compliance sharing of medical and financial cross-domain data resources can be achieved.

The invention provides a digital wounded dynamic evolution method and device based on limb fusion and a medium, and relates to the technical field of medical training. The method comprises the following steps: receiving a digital wounded generation instruction; determining a plurality of target limbs and a plurality of target dynamic response models based on the digital wounded generation instruction; wherein at least one target limb in the multiple target limbs has an injury condition, and at least one target limb corresponds to at least one injury condition type; carrying out limb fusion on the plurality of target limbs to obtain an initial digital wounded person; according to the digital wounded person generation instruction and a plurality of target dynamic response models, enabling each target limb in the initial digital wounded person to perform associated response to obtain a target digital wounded person; and performing dynamic evolution on the injury condition of the target digital wounded person based on the rescue operation performed by the testee on the target digital wounded person. According to the invention, the simulation precision of the digital wounded can be improved, the dynamic evolution process of the injury condition can be accurately displayed, and abundant training is provided for the testee.

The invention relates to the technical field of medical training, and discloses a training management method for improving nurse nursing information competency, comprising the following steps: S1, through investigation and demand analysis, S2, through cloud computing and big data technologies, S3, introducing a high-fidelity simulation device into a physical simulation module, S4, establishing a dynamically updated case library, and S5, establishing a dynamic update case library; s5, constructing a physical simulation module, S6, organizing teacher special training and a remote tutoring mechanism with an apprentier, S7, introducing an artificial intelligence-based personalized learning recommendation system into a training platform, and S8, combining the artificial intelligence recommendation system with real-time data provided by the physical simulation module. Through special training, nurses not only can grasp theoretical knowledge in a simulated environment, but also can improve the ability to deal with complex clinical conditions through situation drilling and actual operation, and the nurses can deeply understand nursing theories and improve theoretical support and practical knowledge of the nurses in the training process.

The invention relates to the technical field of medical training equipment, and particularly discloses a training device for trauma first aid simulation, which comprises a thoracic cavity model and further comprises a mounting cavity, and the mounting cavity is formed in the thoracic cavity model; the pressing assembly is mounted in the chest model; the driving assembly is installed on one side of the pressing assembly, the driving assembly moves when the pressing assembly acts, the detection block is fixed to the driving assembly, and the driving assembly drives the detection block to move synchronously when moving; the detection assembly is installed at the end of the driving assembly, whether the pressing force is appropriate or not is judged by observing whether a detection block normally makes contact with the detection assembly or not and the change of the force feedback assembly, the pressing force of the user is adaptively adjusted according to the trained result, and therefore targeted training is conducted according to the trained result; the training efficiency of trainees can be effectively improved, so that the trainees can train proper pressing force in a short time.

The invention relates to three-dimensional models for simulating medical, in particular dental, treatments and methods for producing such a three-dimensional model, the three-dimensional model comprising at least one holding element for receiving artificial teeth and at least one artificial tooth, wherein the artificial tooth comprises at least one artificial tooth root, wherein the artificial tooth root is at least partly received in a recess of the holding element, and wherein a plurality of connecting strands is formed between the holding element and the artificial tooth, in particular the artificial tooth root.

The invention relates to the technical field of medical training equipment, in particular to a critical care ultrasonic image training system, which comprises a clinical data acquisition module for acquiring critical clinical case data, ultrasonic image materials and diagnosis and treatment process specifications; the training scene construction module is used for constructing a high-fidelity three-dimensional training scene according to severe clinical case data, ultrasonic image materials and diagnosis and treatment process specifications; the virtual ultrasonic practical operation module simulates the operation of an ultrasonic probe based on a high-fidelity three-dimensional training scene, and generates an ultrasonic image corresponding to an anatomical part in real time; the intelligent skill assessment center assesses operation normalization and diagnosis accuracy through practical operation data and real-time generation of an ultrasonic image corresponding to an anatomical site in combination with an improved ResNet-LSTM model, and an assessment result is obtained; and the personalized teaching unit generates a customized training scheme and knowledge strengthening content according to the evaluation result in combination with the learning track of the student. Therefore, the problems of insufficient dynamic scene simulation, poor authenticity and the like in the prior art are solved.

The invention provides a medical anthropomorphic dummy training system, and relates to the technical field of medical treatment. The medical dummy training system comprises a user interface layer and is characterized in that the user interface layer is connected with a training module layer, the training module layer is connected with a data management layer, and the data management layer is connected with a technical support layer; the user interface layer comprises a login / registration module, a user instrument panel and virtual character creation, the training module layer comprises a situation simulation module, a decision tree module, a collaborative task module and a case redisk module, and the data management layer comprises user data management, training content management and feedback and evaluation management. The technical support layer comprises a situation engine, a decision tree algorithm and a data analysis tool. According to the online training system, efficient, flexible and immersive medical training experience is provided for the user, and the clinical skill and decision level are comprehensively improved.

The invention provides a medical question and answer method fusing cross-modal hybrid experts, and the method comprises the steps: obtaining a medical image and a question text, and carrying out the preprocessing of the medical image and the question text, and obtaining an initial visual embedding matrix and an initial text embedding matrix; inputting the initial visual embedding matrix and the initial text embedding matrix into a trained medical question and answer model to obtain an answer text for the medical image and the question text; the medical question and answer model comprises a visual encoder, a text encoder, a position encoding module, a feature fusion module, a gating router, a hybrid expert module and an answer generator. A cross-modal Transform is utilized to realize deep semantic alignment of image and text features, a plurality of expert networks are dynamically scheduled through a gating router, specialized processing is performed for different feature vectors, and the adaptability of the model to complex lesions and rare cases is enhanced; multi-angle reasoning is carried out, accurate and credible answers are generated, and an efficient and reliable solution is provided for auxiliary diagnosis, medical training and scientific research analysis.

The invention belongs to the technical field of medical training, and discloses an operation training system and method based on multi-dimensional data perception fusion, and the system comprises an image collection module, a six-degree-of-freedom operation mechanism, a somatosensory and tactile feedback glove, an operation training robot, a simulation heart model, and a control system. The image acquisition module is in signal connection with the control system and is used for acquiring a 3D high-definition image and instrument space coordinates of an operation area in real time; and the six-degree-of-freedom operating mechanism is in signal connection with the control system and is used for converting an operation instruction of a doctor into a control signal of the operation training robot and feeding back force sense information. According to the scheme, a high-simulation operation training environment is provided through the six-degree-of-freedom teleoperation mechanism, the somatosensory and tactile sensing gloves, the operation training robot and the simulation heart model made of the multi-dimensional sensing electronic skin, multi-dimensional recording and feedback of operation operation are achieved, and the operation training efficiency is improved by combining a transfer learning method. And accurate recording and reproduction of the operation process of the qualified doctor are realized.

The invention belongs to the technical field of medical training, and particularly relates to a method and a system for constructing a virtual operating room resource library for reappearing an offshore operation scene, and the method comprises the following steps: 1, collecting offshore medical data and scene demands: collecting an offshore environment and medical data, and determining medical care core capability demands; in the application, coupling parameters generated by a sea condition dynamic sensing module drive a mixed reality scene rendering module to present real shake and environment change; meanwhile, parameters are synchronously input to the equipment modeling module, fault response of virtual equipment is triggered, a user operates the virtual equipment through the interaction module and executes an operation on a virtual human body model, and the resource library management module guarantees reusability and updatability of resources in the whole process. Through real-time data linkage among the modules, total-factor dynamic coupling of sea conditions, scenes, equipment and operation objects is finally realized, and the problem of simulation distortion of a traditional system is solved.

The present invention relates to a virtual reality (VR) system and method for enhancing medical training. Integrating advanced hand tracking technology with a VR headset, this system offers an immersive training environment for a variety of medical procedures, including CPR, emergency medical interventions, and physical examinations. The hand tracking sensors provide precise monitoring of hand movements, allowing for gesture-based interaction without physical controllers. The system includes several modules for different medical scenarios, each designed to accurately replicate medical techniques and provide real-time feedback. Key innovations include haptic feedback, adjustable difficulty levels, interactive tutorials, and an AI-driven virtual instructor for a personalized training experience. The system is particularly beneficial for training healthcare professionals in critical skills necessary for effective patient care in emergency situations, representing a significant improvement over traditional training methods.

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.

A customisable medical training system includes a processor and a memory, with the memory containing instructions that cause the processor to generate or modify a virtual environment based on a customisation input The virtual environment comprises a 3D virtual scene displaying a virtual patient, a state of the virtual patient, and a set of one or more available virtual medical resources displayable in the 3D virtual scene. The system communicates with a VR display system to render the generated or modified virtual environment to a training recipient via the VR display system. The customisation input is an input received to customise the state of the virtual patient and / or the set of available virtual medical resources.

The invention belongs to the technical field of medical training devices, and particularly relates to a vascular suture nursing simulation training device which comprises a training table, a square frame is arranged at the top of the training table, a simulation silica gel layer is filled in the square frame, a plurality of drainage bent pipes are installed on the square frame, one end pipe opening of each drainage bent pipe extends into the simulation silica gel layer, and the other end pipe opening of each drainage bent pipe extends into the simulation silica gel layer. A simulation silica gel layer is arranged on the training table, a pipe opening in the other end of the simulation silica gel layer is communicated with a liquid box in the training table, a plurality of simulation blood vessels are laid in the simulation silica gel layer, a pipe opening of each simulation blood vessel is communicated with a liquid guiding bent pipe, at least two blood vessel clamping mechanisms are arranged on the simulation silica gel layer, and the blood vessel clamping mechanisms are used for clamping and blocking the simulation blood vessels to be sutured. A movable swinging mechanism is arranged on the training table and is connected with at least two groups of blood vessel clamping mechanisms; the authenticity of blood vessel suture nursing simulation training of the simulation training device can be improved, and a trainee can better experience dynamic changes of blood vessels in a real operation.

The invention discloses a multi-modal classification model training method, a multi-modal classification method and a storage medium, and the method comprises the steps: obtaining a training data set which comprises a medical training image, clinical training information and label information; performing focus area detection on the medical training image to obtain a focus area training image; according to a corresponding coding rule, coding the focus area training image, the clinical training information and the label to obtain an image training feature, a clinical training feature and a label feature; performing feature fusion on the image training features and the clinical training features to obtain fused training features; and based on the fusion training features and the label features, performing iterative training on the multi-modal classification model until a preset convergence condition is met, and obtaining a trained multi-modal classification model. Redundant information interference is reduced, clinical priori knowledge fusion is enhanced, multi-modal information interaction is optimized, and classification reliability and accuracy and model generalization ability are improved.

The invention provides a teaching interaction processing method and system applied to an intelligent online practical training platform. The method comprises the following steps: firstly, acquiring a training scene data set comprising operation process simulation data (corresponding to gynecological examination and related medical skill standard operation processes) and anatomical structure model data (constructed based on medical image data and comprising three-dimensional structure feature information of a female reproductive system), and then carrying out interactive content generation processing on the training scene data set; generating interactive teaching content including operation step guide information and a three-dimensional dissection display model by combining teaching logic rules, and then receiving interactive operation data (corresponding operation simulation behaviors including operation action time sequence records and spatial position coordinates) of a user on a platform; then training effect evaluation processing is carried out on the interactive operation data and the interactive teaching content to generate a training evaluation result, and finally personalized feedback content is generated according to the evaluation result and pushed to a user interface to guide a user to adjust a training behavior, so that the medical training teaching quality and efficiency are improved.

The utility model provides an ankle pump movement device for preventing lower limb deep venous thrombosis, which relates to the technical field of medical training and comprises a base and a pedal, a rotating shaft for controlling the pedal to rotate is arranged outside the base, and the pedal is arranged outside a support frame. A fixed adjusting mechanism used for adjusting the axis position of the supporting frame is arranged outside the rotating shaft, and the fixed adjusting mechanism comprises fixed plates symmetrically arranged outside the rotating shaft; through the arrangement of the gravity block, the control push plate, the control spring and the toe plate, a user can normally step on the foot when stepping on the foot. When the user hooks the feet, the toe plate can assist in completing upward hooking of tiptoes at the maximum angle, tibia anterior muscles can contract and become short, and triceps calf muscles can relax and extend, muscle contraction and relaxation are alternately carried out, blood and lymph backflow can be squeezed like a pump, and meanwhile, when the muscles are relaxed, the user can feel comfortable when hooking the feet. And fresh blood can be supplemented, so that a better exercise effect is achieved.

A bidirectional feedback system for remote spatial positioning correction of a robotic arm for ultrasound scanning is disclosed. An embodiment includes: a first robotic arm for ultrasound scanning; a second robotic arm for mirroring the first robotic arm; a first and second display; an electronic data processor configured for: receiving ultrasound scan images; sending the received ultrasound scan images to the two displays; mirroring the relative spatial positions of the first and second robotic arm, wherein: sensing a first relative spatial position from the first robotic arm, and moving the second robotic arm to the first relative spatial position; has higher priority than: sensing a second relative spatial position from the second robotic arm, and moving the first robotic arm to the second relative spatial position. Also disclosed is a respective method and use of said system for remote hands-on training, preferably for medical training, more preferably for ultrasound training.

Systems and methods for medical training are provided. In some embodiments, systems and methods use computer generated simulated patients through augmented reality. In some embodiments, systems and methods enable medical training that allows a user to interact with the simulated patient which provides simulated visual, audio, or other user perceivable reactions. In some embodiments, hand tracking technology is used in a unique way to detect collisions with a virtual object to result in naturally appearing physical exam maneuvers to simulate the physical examination (e.g., auscultation, percussion, palpation stages of a physical examination) of the simulated patient.

The invention relates to the technical field of data processing, in particular to a remote medical training system, which comprises a training module comprising a data transmission unit for transmitting medical training data from a database to a user terminal; the data processing module is connected with the training module and comprises a data synchronization unit used for synchronizing the medical training data and a data backup unit connected with the data synchronization unit and used for backing up the medical training data; the storage module is used for storing the medical training data, the simulation practice operation, the synchronized medical training data and the backed-up medical training data; and the control module is used for determining the capacity of the database connection pool according to the variance of the response duration for displaying the medical training data or determining the synchronization frequency of the medical training data according to the repetition proportion of the medical training data. The operation stability of the medical training system is improved.

The utility model discloses a pupil simulation feedback device for cardio-pulmonary resuscitation, and relates to the technical field of medical training equipment, the pupil simulation feedback device comprises a dummy model and two outer frames clamped at the positions of eye sockets, a circuit board is fixedly arranged at the bottom of an inner cavity of each outer frame, and a lifting mechanism is arranged on the upper portion of each circuit board; the lifting mechanism comprises a supporting frame fixedly arranged in the middle of the upper surface of the circuit board, a threaded rod is movably arranged in the middle of an inner cavity of the supporting frame in a penetrating mode, a push-pull block is arranged outside the threaded rod in a threaded penetrating mode, diagonal bracings are rotationally connected to the two sides of the push-pull block, a top plate is rotationally connected to the upper portions of the diagonal bracings, and an LED liquid crystal screen is fixedly arranged in the middle of the upper surface of the top plate. A transparent box cover is fixedly arranged on the upper portion of an inner cavity of the outer frame, and a transparent cover is fixedly arranged in the middle of the upper surface of the transparent box cover. The problems that the recovery condition of a patient can only be judged by observing different lamplight, and it is inconvenient for medical staff to judge the actual condition more visually and clearly are solved.

The invention discloses a craniocerebral operation training method and system based on digital twinning, and relates to the technical field of medical training, and the method comprises the steps: building a digital twinning model, and constructing a virtual interaction scene; carrying out key frame extraction on the interaction image of the virtual interaction scene, carrying out user identification operation on the key frame image, obtaining operation information of a user in a training process, evaluating a training result of the user, and formulating a training scheme. Through preoperative simulation, a nurse can identify and avoid risks possibly occurring in an operation in advance, so that the operation safety and the training efficiency of the operating room instrument nurse are improved; a highly real and interactive operation simulation environment is provided for nurses, personalized training suggestions can be provided according to actual operation performance of the nurses, and the operation cooperation effect of the nurses is improved. Modules for training stages or training different stages can be arranged, and the instrument nurses can learn the content of a certain stage in a reinforced mode according to the learning progress during training, so that the learning effect is consolidated.

The invention relates to the technical field of medical training, and discloses a lumbar puncture simulation teaching system based on an AR technology, and the system comprises an AR content generation module which collects a lumbar medical image and carries out the tissue segmentation and focus recognition; performing three-dimensional geometric modeling based on the tissue segmentation result and the focus recognition result to generate a lumbar vertebra 3D model; the AR display interaction module develops an interaction function of the lumbar vertebra 3D model by using a Unity platform and AR equipment; interactive operation of the user is monitored, and feedback is conducted in real time; and the operation evaluation module is used for evaluating the interaction operation of the user and assigning an improvement suggestion according to an evaluation result. A three-dimensional visual scene is constructed through the AR technology, a user can observe the needle inserting process from different angles according to the complex anatomical structure of the lumbar vertebra part, and dynamic effects such as cerebrospinal fluid pressure change are simulated; in the lumbar puncture simulation training, the AR system can feed back operation data in real time, such as the needle inserting angle, the puncture strength and the puncture depth, and the user is helped to accurately master operation skills.

The invention relates to the technical field of image processing, in particular to a medical image segmentation method combining neighborhood self-attention and hierarchical feature fusion, comprising: acquiring an original medical training data set, the original medical image training data including an original medical image and a corresponding segmentation map label; establishing a medical segmentation model, and training the medical segmentation model by using the medical image training data set; and inputting a medical image to be segmented into the trained medical segmentation model to obtain a segmentation image. According to the invention, a neighborhood self-attention NAF module enhances the contour and boundary of a target area; a semantic fusion module FMF based on depth separable convolution is adopted to fuse features of different levels so as to improve segmentation precision; meanwhile, the solid theoretical basis and scientific basis and reference are provided for detection of focus tissues in medical diagnosis.