1030 results about "Medical systems" patented technology

In one embodiment, a medical system includes a catheter configured to be inserted into a chamber of a heart of a living subject, and including multiple electrodes configured to capture electrical activity from electrical activation signals propagating in tissue of the chamber, a display, and processing circuitry configured to automatically select bipolar signals to be captured into an electro-anatomical map from respective electrode pairs of the multiple electrodes responsively to an alignment of the respective electrode pairs with a direction of propagation of the electrical activation signals, and render the electro-anatomical map to the display.

The invention relates to the technical field of intelligent medical systems, and discloses a cerebral apoplexy onset risk assessment and reminding method and system.The method comprises the steps that continuous medical structured detection data are collected, and the data comprise carotid artery blood flow parameters, brain oxygen saturation, heart rate variability and metabolic indexes; inputting a bidirectional LSTM, a differential convolutional network, a wavelet residual network and a multi-layer perceptron to extract nonlinear features; constructing a neural function coupling structure diagram of four nodes of cerebral blood supply, oxygen supply, autonomous regulation and metabolic steady state; calculating inter-node time sequence offset correlation and a stable factor to obtain a coupling anomaly coefficient; and driving the embedded network by using a graph structure and a node feature input mechanism, and outputting a risk state assessment result. According to the method, the neural function coupling structure diagram is constructed and the mechanism is introduced to drive the embedded network, so that high-precision identification of the multi-system collaborative abnormal state and dynamic evaluation of the stroke risk level are realized.

The invention discloses a mild cognitive impairment brain rehabilitation training device and system in the technical field of cognitive nerve rehabilitation, and the device comprises a multi-modal data fusion module, a personalized training task generation module, a multi-sensory stimulation presentation module and a real-time adaptive regulation and control module. And the personalized training task generation module is used for dynamically generating a personalized narrative training task fusing the user interest theme and the cognitive training target by utilizing a reinforcement learning algorithm based on the user cognitive weak domain evaluation result and the user personal interest and life narrative content obtained through natural language processing. Clinical data of a patient and real-time electroencephalogram and behavior data are fused, a narrative training task deeply fused with life experience and interest of the patient is dynamically generated, the difficulty of the training task is automatically adjusted according to real-time physiological indexes, meanwhile, seamless connection with a medical system is achieved through digital biomarkers, and the training efficiency is improved. And the precision and compliance of rehabilitation training are obviously improved.

The invention discloses a medical dialogue search term rewriting method and device, equipment and a storage medium. The method comprises the following steps: detecting whether current dialogue input is a question or has intention jump through a lightweight model for multi-round dialogue intention jump and question recognition; when it is detected that the current dialogue input is subjected to intention hopping or not questioning, the historical dialogue context is emptied, and the current input serves as independent query to be directly output; and when it is detected that the current dialogue input does not have intention hopping and the current dialogue input is a question, triggering the functions of substitution disambiguation and semantic completion, calling the fine-tuning and rewriting large model, and generating a standard medical question with complete semantics and standard terms, so that the context dependency relationship in the user dialogue can be accurately identified, and the user experience is improved. In addition, a large model can be called to complete deep semantic reconstruction when necessary, light model pre-judgment and large model accurate rewriting are combined, accuracy and efficiency are both considered, and the method is a key technical breakthrough for improving usability and specialty of a medical RAG system.

The invention provides a trauma knowledge graph construction method and system based on a three-level fault-tolerant mechanism. The method comprises the following steps: acquiring a trauma condition core knowledge framework; extracting trauma condition rules based on the trauma condition core knowledge framework, and establishing a trauma condition rule base; dynamically generating a target cue word based on the trauma condition rule base by utilizing a large language model; processing the target text based on the target cue word by using a large language model to generate a candidate file; verifying the candidate file to obtain a verification file; and constructing the trauma knowledge graph based on the verification file. According to the scheme, a mode of combining ontology construction from bottom to top and entity node construction from top to bottom is adopted, various methods such as manual construction, rule extraction and a large language model are fused, the knowledge extraction precision and the map coverage degree are improved, the information processing capacity and the treatment decision-making efficiency in a complex trauma condition scene are remarkably improved, and the method is suitable for popularization and application. And construction of an intelligent medical system is supported.

The invention relates to the technical field of on-line monitoring, in particular to an insulation fault on-line monitoring method and system for a medical IT system control cabinet. The method comprises the following steps: selecting a non-integer frequency multiplication detection frequency according to equivalent ground distributed capacitance in a previous monitoring period, and superposing the non-integer frequency multiplication detection frequency with a fundamental frequency to form a composite signal injection system; collecting signals to calculate a voltage instantaneous harmonic distortion rate change gradient, and selecting a time window to split the leakage current according to the change gradient; on the basis of dispersion estimation signal-to-noise ratio weighted fusion current vectors, insulation resistance and distributed capacitance are calculated; constructing a four-dimensional original feature vector composed of the insulation parameter, the phase difference and the intermodulation component energy; constructing a diagonal weighting matrix based on the resistance-capacitance ratio and the gradient to transform a feature vector, and determining the fault attribution through the Mahalanobis distance calculation with the fault template library. According to the scheme, harmonic interference can be avoided, calculation stability can be improved, insulation instantaneous sudden change can be quickly responded, and different fault types can be accurately distinguished to guide maintenance.

The invention relates to the technical field of data classification, in particular to a hospital intelligent inquiry log analysis method and system.The method comprises the following steps that medical concept depth is counted, symptom keywords are extracted, statistical information gain and semantic consistency scores are calculated, split decision-making indexes are generated by combining the gain and the scores to construct an intention classification tree, and an intention classification result is obtained; inputting a log to generate an inquiry intention identifier, recognizing an error node based on diagnosis and treatment correction feedback and updating a punishment value, establishing a virtual error correction link, calculating a path confidence fusion node, and establishing a physical branch to generate a reconstruction classification tree when a guide weight exceeds a limit. According to the method, keyword statistics is upgraded into three-dimensional feature analysis by introducing medical concept hierarchies, a classification tree following a medical system is constructed, a reverse penalty and virtual link mechanism is constructed by using feedback, node fusion and reconstruction are executed based on confidence, classification logic self-adaptive evolution is realized, and intention recognition interpretation and robustness are improved.

The present disclosure provides a method and system for overlay presentation of a skeletal image based on augmented reality, relating to the technical field of smart medical systems. The method includes obtaining fracture imaging data for a fracture region of a patient, the fracture imaging data including a CT image, an X-ray image, and a light-field image; parsing a ray model corresponding to the light-field image, the ray model providing spatial propagation information of a light in the fracture region of the patient; determining a multimodal fusion feature corresponding to the fracture imaging data based on the ray model and a feature fusion network; reconstructing a three-dimensional model of a fracture part based on the multimodal fusion feature; and aligning and calibrating the reconstructed three-dimensional model of the fracture part with the fracture region of the patient in an actual surgical scene.

The present invention provides a multilingual, AI-powered healthcare system integrating a personalized medical assistant, real-time clinical decision support, and closed-loop device control. The system ingests multimodal patient-generated and institutional data, applies advanced language-model-driven reasoning for clinical insights and triage, and supports regulated, auditable actuation of medical devices. Key features include multilingual overlays, role- and jurisdiction-specific visualization, co-signature enforcement, audit traceability, and seamless integration with healthcare infrastructure. A “Multilingual Overlay” is a dynamically generated display layer that the system composites in real-time from clinical text, icons, and color-coded indicators, automatically adapting its language, reading direction, terminology, visual density, and role-based data visibility to the preferences, locale, and device form-factor of each authenticated viewer. The architecture supports provider- and patient-facing use cases, agentic AI for autonomous yet regulated decision-making, and robust safety and compliance features.

The embodiment of the invention discloses an electrical stimulation parameter determination method, device and equipment, a medium and a medical system. The method comprises the following steps: acquiring a brain three-dimensional model corresponding to a target user of which the brain is implanted with at least one stimulation electrode; determining at least one electrode contact combination corresponding to the target nucleus simulation model according to the first spatial position information of the target nucleus simulation model and the second spatial position information of the electrode simulation model; determining at least one group of candidate electrical stimulation parameters of the electrode contact combination according to the electrode contact combination and a target nucleus simulation model; determining the total power consumption of the stimulator of the candidate electrical stimulation parameters according to a preset total power consumption quantitative model of the stimulator and the candidate electrical stimulation parameters; and determining at least one group of target recommended electrical stimulation parameters from the plurality of groups of candidate electrical stimulation parameters according to the total power consumption of the plurality of stimulators. According to the technical scheme, the effect of accurately screening the recommended electrical stimulation parameters with low energy consumption and efficient stimulation effect according to the electrical stimulation power consumption is achieved.

The invention relates to a recommendation output method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring user input information; performing intention analysis on the user input information to obtain user intention information; generating an initial recommendation candidate set according to the user intention information and a preset knowledge base; obtaining dialogue state information, and dynamically adjusting the initial recommendation candidate set according to the dialogue state information based on a pre-trained reinforcement learning model to obtain an optimized recommendation candidate set; dialogue progress information is obtained, the optimized recommendation candidate set is converted into language description information, and recommendation result information is generated according to the language description information and the dialogue progress information; and performing recommendation output according to the recommendation result information. The message pushing method and device can be applied to application scenes of a financial service system and a digital medical system, and accurate message pushing can be effectively achieved according to the information input by the user.

The invention relates to a traditional Chinese medicine syndrome intelligent identification method and system based on multi-modal data fusion, and belongs to the technical field of medical systems, and the method comprises the following steps: S1, multi-modal traditional Chinese medicine data acquisition: obtaining at least two different types of original data related to traditional Chinese medicine; s2, performing cleaning, denoising, normalization and data alignment processing on the various types of original data acquired in the step S1 to obtain standardized multi-modal data; s3, multi-modal data fusion is carried out, and a feature layer fusion or decision-making layer fusion mode is adopted; s4, identification model training: matching the fusion feature vector with a corresponding traditional Chinese medicine syndrome label, and inputting the matching result into a preset deep learning model for training to obtain a traditional Chinese medicine syndrome identification model; and S5, intelligently identifying the traditional Chinese medicine syndromes, and outputting a corresponding traditional Chinese medicine syndrome identification result. According to the method, full-process automatic processing and closed-loop optimization are realized, and the dependence on the professional level of operators is greatly reduced.

Systems and methods for designing and implementing patient-specific surgical procedures and / or medical devices are disclosed. In some embodiments, a method includes receiving a patient data set of a patient. The patient data set is compared to a plurality of reference patient data sets, wherein each of the plurality of reference patient data sets is associated with a corresponding reference patient. A subset of the plurality of reference patient data sets is selected based, at least partly, on similarity to the patient data set and treatment outcome of the corresponding reference patient. Based on the selected subset, at least one surgical procedure or medical device design for treating the patient is generated.

A medical system may include a pump disposed along a longitudinal axis of a blood flow assist system and including an impeller disposed in a pump housing; a power lead coupled with the first end portion of the pump; and a tether coupled with a second end portion of the pump opposite the first end portion. During operation of the blood flow assist system with the pump disposed within the blood vessel, the power lead may be configured to extend from within the blood vessel within which the pump is disposed to outside the first vascular access site to couple to the control system, and the tether may be configured to extend from within a blood vessel within which the pump is disposed to an anchoring position disposed away from the second end portion.

The invention discloses a micro-expression recognition method and device, computer equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method is applied to micro-expression recognition of a financial system or an old-age health medical system. According to the method, firstly, through face alignment and standardization processing, the face posture difference between different individuals is effectively eliminated; secondly, an attention mechanism based on a heat map is introduced in the spatial feature extraction process, key modeling is conducted on micro-expression sensitive areas such as eyebrows and eyes and mouth corners, and the self-adaptive focusing capacity for local muscle movement is improved; in the aspect of time modeling, a time sequence encoder is combined with a self-adaptive gating mechanism, micro-expression key frames are dynamically screened, redundant frame interference is avoided, and the instantaneous capturing capacity of micro-expression weak dynamic changes is improved; and finally, through fusing information of two dimensions of space and time, forming a spatio-temporal joint feature with high discrimination, and combining with a pre-training classification model to realize high-precision identification of micro-expressions.

A medical system is disclosed that includes a medical device having an optical fiber, and an interchangeable connection component configured to provide a fiber optic connection between the medical device and capital equipment. The connection component is configured to facilitate cleaning and / or polishing of fiber optic interfaces include therewith. The connection component is also configured for replacement by a medical technician while the capital equipment is operational. The capital equipment may include one or more of an optical interrogator, a patch cable, a medical probe, an ultrasound machine, a display, a magnet sensor, or an electro-cardiogram (ECG) machine. The medical device may include an elongate member configured for insertion within the patient body, where the optical fiber core extends along a length of the elongate member.

The invention relates to a one-code multi-service method and system in a medical scene, and the method comprises the steps: dynamic code generation: generating a visual dynamic code after security processing based on a user identity, a current medical scene code, a service intention, a timestamp and a random number; the dynamic codes are analyzed and verified, format verification, timeliness verification, anti-replay verification and digital signature verification are executed on the obtained dynamic codes, the dynamic codes are analyzed, and an analysis result is obtained; and performing service routing decision and execution, querying a predefined scene-service-authority rule according to the scene and user information in the dynamic coding analysis result, determining a target service of a user, calling a corresponding back-end medical service system interface to receive and perform service response, and finally returning a service result to the user terminal. According to the invention, the convenience, the integration level, the safety and the user experience of medical services can be improved, the operation and maintenance efficiency of the medical services is improved, and the collaborative cost of multiple medical systems is reduced.

A medical device includes a processor including hardware, the processor being configured to: acquire a display image in which a blood vessel region of a blood vessel in a subject is specified and a fluorescence image overlapping at least a part of a visual field region of the display image; specify thermal denaturation information in the blood vessel region based on the display image and the fluorescence image; and output the thermal denaturation information.

This invention discloses a blood purification device and medical system. The blood purification device includes: a device housing; a blood purifier; a blood tubing assembly, the blood tubing assembly including a first blood tubing connecting a human blood vessel to the inlet of the blood purifier and a second blood tubing connecting the outlet of the blood purifier to the human blood vessel; a power assembly including a blood pump for driving blood flow within the blood tubing assembly, a first replenishment pump for allowing anticoagulant solution to flow into the first blood tubing, and / or a second replenishment pump for allowing calcium solution to flow into the second blood tubing; and a blood component analysis component disposed within the device housing, the blood component analysis component being used to detect collected blood samples. This design facilitates the appropriate adjustment of anticoagulant drugs and calcium ions in the blood purification circuit.

The invention relates to the technical field of medical information management, in particular to a medical information management system and a medical data sharing method. Comprising a heterogeneous data access module, a distributed data lake module, a block chain core layer module, a dynamic authority control module, a cross-chain Internet gateway module, a big data analysis center module, a clinical decision support module, a credible audit tracking module, a patient sovereignty portal module and a system management console module. The system has the advantages that the block chain core layer module establishes a patient main index and data hash evidence storage mechanism, a data barrier between heterogeneous medical systems is broken through in combination with the heterogeneous data access module and the cross-chain Internet gateway module for standardized protocol conversion, and the dynamic authority control module responds to an intelligent contract to execute zero-knowledge proof verification, so that the safety of the system is improved. Permission verification is completed on the premise that original privacy data does not need to be transmitted, the cross-mechanism data retrieval response time is shortened, sensitive fields are automatically filtered through a data desensitization engine, and a technical basis is provided for hierarchical diagnosis and treatment and medical conjoined cooperation.

Certain aspects relate to systems and techniques for localizing and / or navigating a medical instrument within a luminal network. A medical system can include an elongate body configured to be inserted into the luminal network, as well as an imaging device positioned on a distal portion of the elongate body. The system may include memory and processors configured to receive from the imaging device image data that includes an image captured when the elongate body is within the luminal network. The image can depict one or more branchings of the luminal network. The processor can be configured to access a machine learning model of one or more luminal networks and determine, based on the machine learning model and information regarding the one or more branchings, a location of the distal portion of the elongate body within the luminal network.

The invention relates to the technical field of medical image segmentation in computer vision, in particular to a medical image segmentation method and system based on dual-path deformable feature attention, proposes a dual-path deformable feature attention framework, and combines space and channel attention with deformable convolution to adapt to morphological changes. According to the attention framework, self-adaptive multi-scale feature extraction is realized through self-adaptive void space pyramid pooling processing, and enhanced feature integration is performed through an efficient feature fusion module. According to the method, adaptive feature extraction, a unified attention mechanism and efficient multi-scale integration are cooperatively combined. According to the method, the core challenges of form variability, unclear boundary and multi-scale structure are systematically solved through three correlative innovations, and the accuracy and robustness of a medical image segmentation task are remarkably improved. The method can be widely applied to medical systems, and promotes the development of artificial intelligence in the medical field.

Disclosed systems, apparatuses, and methods enable remotely controlling robotic-assisted medical systems, such as robotic-assisted surgery systems. Disclosed approaches facilitate deployment and improve the safety of robotic-assisted procedures.

The invention relates to a video generation method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring audio data information and multi-role video frame information; performing dynamic three-dimensional mask processing on the multi-role video frame information to obtain role mask information; combining the audio data information and the role mask information based on multi-modal diffusion to generate role mouth shape action information; acquiring a reference data set, and training a video generation model according to the reference data set based on a preset staged training strategy; and inputting the role mouth shape action information and the multi-role video frame information into the video generation model to generate an effective fusion video. The method and the device can be applied to application scenes of a financial service system and a digital medical system, and can effectively realize video generation with high audio synchronization rate in a multi-role scene according to the input audio data and the multi-role video frame.

The embodiment of the invention discloses a brain operation path determination method and device, equipment, a medium and a medical system. The brain operation path determination method comprises the steps that a brain structure model and at least one target spot of a target user are obtained; based on the brain structure model, determining an information transfer relationship between each nuclear group sub-model and each nerve fiber sub-model; determining a plurality of candidate operation schemes based on the plurality of preset path starting points, the target group sub-model to which the at least one target point belongs and the information transfer relationship; for each candidate operation plan, performing quality evaluation on the candidate operation plan based on a quantitative evaluation model under at least one evaluation dimension, and determining a path quality attribute corresponding to each candidate operation plan; according to the method, at least one target recommended operation scheme is determined based on each path quality attribute, a plurality of candidate paths conforming to nerve conduction characteristics are automatically generated, and an optimal scheme is screened through a quantitative evaluation model, so that the brain tissue injury risk and the operation complexity are effectively reduced while the operation precision is improved.

Described herein are sample collectors configured for use with robotic medical systems. A robotic medical system can include a medical instrument that can be inserted into a patient to capture a sample. A robotic manipulator can be engaged with the medical instrument and configured to operate the medical instrument; a sterile barrier can be used to separate a sterile field containing the medical instrument from a non-sterile field containing the robotic manipulator; a sample collector can include a receiver portion positioned in the sterile field and configured to receive the sample when a distal end of the medical instrument is retracted from the patient; and a connector coupled to the receiver portion and configured to attach to the robotic medical system. The robotic system can place the sample in the receiver portion.

Three dimensional virtual scene reconstruction of a medical procedure environment is provided. The system can include one or more processors, coupled with memory, to identify a frame that captures a scene in a medical procedure performed with a robotic medical system. The one or more processors can generate, using one or more models trained with machine learning, one or more masks that segment an anatomical structure in the frame, label the anatomical structure in the frame, and indicate a depth value for each pixel in the frame. The one or more processors can construct 3D mesh and texture data based on the one or more masks. The one or more processors can provide, in an interactive virtual environment, a virtual scene rendered using the 3D mesh and texture data generated from the frame that captures the scene in the medical procedure.

This application applies to the field of intelligent agents, providing a medical intelligent agent system, a medical system, a medical system architecture, and an application method. The medical intelligent agent system includes: an intelligent agent platform for generating and / or editing intelligent agents based on input information; and a transmission unit for exporting intelligent agents to the medical system for execution, and / or importing intelligent agents from the medical system for editing. Using this medical intelligent agent system can improve the efficiency of intelligent agent generation and ensure that the clinical data required for the generated intelligent agents to run in the medical system does not need to be externally transmitted, thus improving the security and privacy of clinical data.

Medical devices and cartridges include a rotary drive portion and a plurality of arms movable by rotation of the rotary drive portion. An electrode is coupled to each of the arms. Medical systems and methods include a base and a plurality of cartridges configured to be releasably attached to the base. The medical systems and methods include an identification of a selected cartridge and a determination of a set of parameters for an energy treatment corresponding to the selected cartridge.

A system for evaluating cognitive function is disclosed herein. In some embodiments, the system includes a computing device with a processor; and a visual display device. The computing device is operatively coupled to said visual display device, said computing device being programmed to generate and display a cognitive test on said visual display device for assessing a mental ability of said patient, said cognitive test comprising a plurality of different images for said patient to identify, said cognitive test assessing the mental ability of said patient that is suspected of having sustained a traumatic brain injury (TBI). Also, in some embodiments, the system is in a form of a telemedicine system that includes a local control system disposed at a first location and a central control system disposed at a remote site.