32 results about "Treatment sequence" patented technology

The present disclosure relates to transcranial ultrasound systems, devices, and methods which are used for treatment rather than for imaging or medical diagnosis. In accordance with one aspect, a system for applying ultrasound energy includes at least three ultrasound applicators configured to be secured against a head of a person and configured to apply ultrasound energy to the head of the person when activated, and a controller configured to control activation and deactivation of the at least three ultrasound applicators based on a predetermined treatment sequence.

The invention relates to the technical field of data synchronization, in particular to a digestive system department clinical information acquisition and synchronization system, which comprises a multi-source heterogeneous acquisition module for generating a standardized diagnosis and treatment sequence, a characteristic spectrum construction module for mapping a text and an image into vector nodes and constructing a dynamic diagnosis and treatment characteristic spectrum, the state fingerprint verification module calculates a map fingerprint Hamming distance to position a difference feature node, and the incremental collaborative synchronization module constructs an incremental data packet and sends the incremental data packet to the central server. According to the method, the multi-dimensional characteristic spectrum based on the diagnosis and treatment time sequence is constructed, discrete images and texts are converted into topological association units, heterogeneous data semantic level alignment and integrity verification are achieved, version conflicts and information faults are eliminated, meanwhile, a dynamic hash fingerprint difference comparison strategy is adopted, accurate recognition is achieved, and only substantial change nodes are transmitted; and the network load is reduced, and high real-time consistency and zero-loss circulation of whole-flow information are ensured.

The invention relates to a medication recommendation method and system. The method comprises the following steps: preprocessing original medical data of a current patient into a standardized time sequence diagnosis and treatment sequence; inputting the time sequence diagnosis and treatment sequence and the medical professional knowledge base into a code-doctor-seeing double-level attention model for processing to obtain code-level aggregation features of each doctor seeing and corresponding doctor-seeing-level attention weight, and performing weighted aggregation on the code-level aggregation features based on the doctor-seeing-level attention weight to obtain a code-level aggregation feature; generating a global health representation of the current patient; based on at least one of the multiple medical feature information of the current patient, similar historical cases are retrieved from a case information base to serve as reference cases; and generating and outputting a medication recommendation list for the current patient at least based on the global health representation of the current patient and the medication scheme of the reference case. By adopting the method and the device, the accuracy and the safety of drug recommendation for the current patient can be improved, so that a doctor can be better assisted to make a drug decision.

The invention provides a post-war health guarantee and infectious disease prevention system, and relates to the technical field of epidemic disease monitoring. The system comprises a baseline calibration module, a node identification module, a migration modeling module, a path analysis module and a priority analysis module. According to the method, dynamic identification of infectious disease risk personnel is achieved by calculating the deviation degree of the individual physiological state, potential infected persons are found in the early stage, the missing report condition is reduced, and the epidemic situation diffusion path is simulated and predicted by identifying the social contact network of the risk personnel, calibrating propagation nodes and combining the war area road damage condition. The actual crowd migration condition in the war area environment is effectively reflected, road failure analysis and supply chain network optimization are combined, medical material demand levels are graded and classified, the response speed of medical resources in the war area is increased, the treatment sequence is dynamically adjusted through real-time physiological data monitoring in combination with the injury condition change trend, and the treatment efficiency of the medical resources in the war area is improved. And optimal utilization of medical resources is realized.

The present invention relates to a remote collaboration support system in which a real-time surgical video can be tagged. More particularly, the remote collaboration support system according to the present invention comprises: a first HMD which is worn on an operating surgeon at a real surgical operation site, and which comprises a camera for imaging a gazing area and an adjacent area of the operating surgeon and a display unit for outputting a real-time video captured by means of the camera; a second HMD, which is worn on a collaborating surgeon located remotely from the operating surgeon, receives and outputs the real-time video captured in the first HMD, and receives, from the collaborating surgeon, a proposal for the order of surgical operation or a specific treatment sequence included in the surgical operation; and a remote collaboration support server which provides a UI for receiving the selection of whether to accept the proposal through the first HMD when the proposal input from the second HMD is received, and which generates a tag according to whether the operating surgeon has accepted so that same is tagged onto a collected real-time video, wherein the tag includes person-in-charge information about the real-time surgical operation according to the proposal.

The invention discloses a curative effect evaluation system for treating liver cancer by combining HDRBT with thermal ablation in multi-modal radiomics, and relates to the field of liver cancer treatment, and the system comprises a multi-modal image data acquisition module which is used for collecting multi-modal image data; the three-dimensional visual model construction module is used for reconstructing a three-dimensional structure of liver tumors, peripheral blood vessels and bile ducts through an image segmentation algorithm, and generating a visual model by fusing radiomics characteristics; the combined treatment plan generation module is used for integrating the dosimetry parameters of the HDRBT and the process parameters of the thermal ablation, optimizing a catheter implanting path, the position of a thermal ablation electrode and a treatment sequence, and generating a combined treatment scheme; and the curative effect evaluation module is used for quantitatively analyzing tumor volume change, ablation boundary integrity and residual tumor activity through accurate registration of multi-modal images before and after treatment. According to the scheme, the problems of incomplete thermal ablation and high recurrence rate of hepatocellular carcinoma can be solved, and full-chain technical support is provided for clinical precise application.

The application relates to the technical field of traditional Chinese medicine intelligent syndrome differentiation, and discloses a knowledge graph driven traditional Chinese medicine digital differentiation method and system, wherein the method comprises the following steps: acquiring multi-modal four-examination data of a patient and extracting a sub-feature set; mapping the sub-features to a knowledge graph cold and heat attribute embedding subspace, identifying a part contradiction mode and a polarity difference intensity of a contradictory sub-feature pair; matching a cold and heat mixed subtype and performing double-channel graph attention propagation to obtain a differentiation result; performing polarity quantization on a historical treatment sequence and removing acute interference components; inputting a cold and heat polarity intensity value sequence into a time perception transformation reasoning channel respectively; performing double-scale trend decomposition on a double-channel hidden state sequence and calculating a cold and heat balance offset index; performing cold and heat balance offset determination based on the offset index and generating a differentiation report.

The invention relates to a method for operating a domestic appliance equipped with a plurality of sensors, at least one closed-loop control sensor of which is used as a measuring element of a closed-loop control for controlling a treatment sequence for treating items to be treated and at least one item sensor of which is used to monitor the treatment state of the item to be treated, wherein if the occurrence of a disturbance is detected during the treatment sequence, at least one pre-disturbance measured value recorded immediately beforehand by the item sensor is kept available, and when a termination of the disturbance is detected: at least one reference value is provided on the basis of the at least one pre-disturbance measured value which was kept available, at least one actual measured value of the item sensor is compared with the at least one reference value, at least one operating setting is changed in order to bring the at least one actual measured value into agreement with the at least one reference value, and when the at least one actual measured value has been brought into agreement with the at least one reference value, the treatment sequence is continued using the settings which would be present in the absence of a disturbance.

The invention relates to a method (S1 - S7) for setting operating parameters of a treatment sequence of a household food treatment appliance (1), in which, based on a user input (S2, S3), the treatment sequence for the food to be treated is compiled (S4), at least one associated setting of an operating parameter and at least one expected treatment result property are displayed for the compiled treatment sequence and offered to the user for variation (S5), and with variation of the setting of the operating parameter or the treatment result property (S6), the other at least one setting and / or treatment result property is adapted to the variation (S7) and displayed (S5).The invention also relates to a method (S1-S9) for carrying out a treatment sequence, in which a treatment sequence is compiled according to the method for setting operating parameters (S1-S7) and the compiled treatment sequence is carried out on the household food treatment appliance (1) (S8). The invention further relates to a household food treatment appliance configured to carry out the method(s). The invention is particularly applicable to household cooking appliances.

The present invention discloses a mortality prediction method and computer program product based on the fusion of medical ontology embedding and an attention mechanism, relating to the field of medical information technology. The method comprises: performing feature mapping on a patient's demographic information, diagnosis information, treatment information, and vital sign information; constructing a medical ontology for each of the diagnosis information nodes and treatment information nodes in the feature mapping; performing a nonlinear transformation on the diagnosis ontology embedding matrix and the treatment ontology embedding matrix, and processing the diagnosis and treatment information using a masked attention mechanism; obtaining corresponding treatment outcomes based on the patient's medical visit records, learning the causal relationship between diagnosis and treatment, calculating the conditional probability between the patient's diagnosis and treatment outcomes, and obtaining an adjacency matrix; and predicting the patient's mortality rate based on the demographic information and vital sign information in the feature mapping, the diagnosis sequence, the treatment sequence, and the adjacency matrix. The present invention can effectively improve the accuracy of mortality prediction.

To support determining a sequence of respective measures for a plurality of devices on the basis of contents of measures necessary for the respective devices or types of the devices being objects of the measures.SOLUTION: An information providing system comprises: determination means which determines a priority of a measure specified from information as a measure necessary for a device so that the priority is higher in the case that the measure is a restoration measure for recovering a fault occurring in the device than in the case that the measure is a measure for preventing the occurrence of a fault in the device; measure classification means which classifies individual measures specified for a plurality of devices according to contents of the measures or types of the devices; and display means which causes the system to display a proposal screen which proposes measures for the respective devices based on a sequence according to priorities determined by the determination means and a result of classification in the measure classification means.SELECTED DRAWING: Figure 7

The invention discloses a leachate treatment method and device, a storage medium and computer equipment, and the method comprises the steps: sequentially collecting input working condition data when target treatment leachate enters each treatment link according to the treatment sequence of each treatment link in the leachate treatment process; on the basis of a processing equipment control parameter prediction model corresponding to the processing link, predicting control parameter data, corresponding to the input working condition data of the processing link, for the processing equipment; on the basis of the control parameter data, target control parameter data, aiming at treatment equipment, of all treatment links are obtained through optimization by taking the condition that the water quality of treated leachate discharged after treatment in the secondary biochemical treatment link reaches the standard as a constraint condition and taking the minimum energy consumption per ton treatment and the highest water outlet efficiency in the leachate treatment process as targets; and treating the target treatment leachate. Based on working condition sensing-intelligent control-autonomous optimization operation big data, a machine learning method is adopted to perform intelligent control on a processing system, and finally cost reduction and efficiency improvement are realized.

The present application relates to a kind of vascular inflammation prediction method based on knowledge guide and intervention-response drive, belong to artificial intelligence and medical cross technical field.It includes the following steps: acquisition multivariate physiological measurement sequence, completes missing value preprocessing using treatment-aware time series linear interpolation;Physiological and treatment sequence are explicitly decoupled into short-term acute path and long-term cumulative path, respectively through exponential decay model, low-pass filter modeling and are fused by gate mechanism, obtain treatment dynamic representation;Heterogeneous dynamic graph is constructed by fusing medical priori and data learning, executes graph convolution update node representation after treatment modulation adjacency matrix;Finally, the representation of treatment dynamics and graph enhancement is fused, and the TBR prediction value is output by attention weighting and time point specific regression.The present application can effectively separate acute and chronic treatment effects, inject clinical knowledge constraints, and is suitable for tumor survivor cardiovascular risk stratification, vascular toxicity mechanism analysis and personalized diagnosis and treatment management.

The present disclosure provides a method and a computing device for setting the medical treatment order on the basis of the condition of emergency patients. A method for setting the medical treatment order on the basis of the condition of emergency patients is performed by a computing device including at least one processor according to an embodiment of the present disclosure. According to the method, if a new medical examination subject's reception data is acquired, the medical examination subject's biometric data is acquired through a sensing unit. The biometric data is analyzed by using a pretrained neural network model, thereby identifying the new medical examination subject's condition. The new medical examination subject's medical treatment order is set on the basis of the time at which the new medical examination subject's reception data has been acquired, and the new medical examination subject's condition. The step of setting the medical treatment order comprises a step of adjusting the medical treatment order of other medical examination subjects who have been received and are waiting for medical treatment on the basis of the medical examination subject's condition, thereby setting the new medical examination subject's medical treatment order.

This invention belongs to the field of coal mine water control, specifically relating to a method for combined grouting treatment of loose layers, including: S1, determining the borehole positions in the treatment area: drilling several boreholes at equal intervals in the treatment area, the boreholes being arranged in a quincunx pattern, with the borehole spacing... d The drilling depth is 25m~60m; S2, Drilling and Well Completion: Each borehole has a two-stage structure, with the first stage drilling to the top of the loose layer treatment section; S3, Hole Sweeping and Extension Drilling: Each borehole is divided into several treatment sections; according to the design and construction sequence, sweeping holes are arranged, and the holes are sweeped and then extended downwards for the length of one treatment section. l S4. Grouting-Inspection Coordinated Construction: Grouting is carried out in batches and sequences, with adjacent boreholes serving as inspection holes, achieving multiple uses for one hole; the treatment hole is also an inspection hole; S5. Similarly, repeat S3 and S4 until the entire treatment section is grouted; This invention optimizes the grouting treatment sequence to achieve coordinated treatment and inspection during the loose layer renovation project, promotes timely and dynamic improvement of the grouting scheme, and achieves optimal treatment effect.

In information processing device, the information acquisition means acquires patient information, medical professional information, and environment information. The treatment order determination means determines an order of treatment of the patients for each medical professional based on the patient information, the medical professional information, and the environment information.

The invention relates to a method for operating a domestic appliance equipped with a plurality of sensors, at least one closed-loop control sensor of which is used as a measuring element of a closed-loop control for controlling a treatment sequence for treating items to be treated and at least one item sensor of which is used to monitor the treatment state of the item to be treated, wherein if the occurrence of a disturbance is detected during the treatment sequence, at least one pre-disturbance measured value recorded immediately beforehand by the item sensor is kept available, and when a termination of the disturbance is detected: at least one reference value is provided on the basis of the at least one pre-disturbance measured value which was kept available, at least one actual measured value of the item sensor is compared with the at least one reference value, at least one operating setting is changed in order to bring the at least one actual measured value into agreement with the at least one reference value, and when the at least one actual measured value has been brought into agreement with the at least one reference value, the treatment sequence is continued using the settings which would be present in the absence of a disturbance.

The invention discloses an AI-driven personalized oral treatment scheme generation system and method, and particularly relates to the technical field of artificial intelligence. Multi-modal oral related data of a patient is obtained by controlling an image data acquisition unit and a non-image data input unit; the data is subjected to format unification and preprocessing through a data standardization unit, received multi-modal data is processed through a deep learning network, deep fusion of different-modal data is achieved, high-dimensional features capable of representing the oral cavity condition of a patient are extracted, and the oral cavity condition of the patient is determined based on the extracted fusion features. The oral disease diagnosis unit is used for accurately diagnosing oral diseases of a patient, generating a plurality of sets of treatment sequence schemes aiming at individual requirements of the patient, quantitatively evaluating each sequence scheme in combination with an expected utility function, receiving the output individual treatment schemes, and visually displaying the individual treatment schemes to a doctor and the patient through the visual display unit. And the doctor-patient collaborative decision-making unit is utilized to support the doctor to modify the scheme to generate a final treatment scheme.

The invention relates to the technical field of skin medical cosmetology, in particular to a treatment method for targeted repair of acne pits and acne marks. The technical problem is that the existing clinical treatment method for acne pits and acne marks has the problems of long treatment cycle, disjunction of diagnosis and treatment and poor targeted treatment effect caused by insufficient synergistic effect due to single treatment means. According to the technical scheme, the treatment method for pox pit and pox mark targeted repair comprises the following steps: comprehensively analyzing pox pits based on target area skin data obtained by a high-precision skin image technology, and establishing a typing and indexing model of the pox pits; formulating a combined treatment scheme for the patient based on the typing and indexing model, and determining treatment parameters and a treatment sequence of each technology; according to the treatment scheme, sequentially executing epidermal micro-exfoliation, subcutaneous dissection and hand needle micro-filling; the treatment area is repaired by jointly using photoelectric mesoderm equipment and mesoderm therapy; therefore, targeted treatment is achieved, the treatment period is shortened, and the satisfaction degree of the curative effect is improved.

The application discloses a kind of data governance method, device and equipment, the method includes: obtaining the historical diagnosis and treatment data generated by multiple third-party platforms;The historical diagnosis and treatment data meeting the preset condition is copied to the preset copy library, and the historical diagnosis and treatment data in the preset copy library is handled, and the historical repair diagnosis and treatment data is obtained;Based on patient identification information and the preset diagnosis and treatment sequence, the historical repair diagnosis and treatment data is divided into multiple training samples, and the target training sample set is obtained;The preset data governance model is trained based on the target training sample set, and the target data governance model is obtained;Based on the target data governance model, the data repair and data table association processing are carried out on the diagnosis and treatment data to be processed, and the target high-quality diagnosis and treatment data corresponding to the diagnosis and treatment data to be processed is obtained.The application can obtain high-quality diagnosis and treatment data, and improve the data governance efficiency.

The application discloses a skin rejuvenation treatment effect texture image analysis method and system, and relates to the technical field of medical image processing, and comprises the following steps: acquiring treatment texture images and illumination collection data of a target object; performing separation operation on the treatment texture images according to a treatment sequence, and performing symmetry consistency evaluation on the illumination collection data and the separation operation result to generate a stable mask graph; respectively performing weighted alignment on the separation operation result before and after treatment according to the stable mask graph, generating a locked texture graph in pairs, and performing symmetry statistics on the locked texture graph to generate a brightness reference graph. According to the scheme, the weighted alignment based on the stable mask graph and the symmetry statistics of the brightness reference graph are used, so that the texture comparison before and after treatment is changed from 'pixel comparison' to 'brightness comparison', the interference of illumination drift on difference calculation is significantly reduced, a normalized texture graph is generated by fusing and correcting illumination collection parameters, and an alignment difference bottom graph is obtained by modulating the stable mask graph.

Systems and methods for treating target tissues include: a preparation sequence for generating acoustic processing pulses to deliver acoustic energy to the target tissue; pausing the generation of acoustic processing pulses after a delay interval; and a treatment sequence for generating a series of acoustic processing pulses to deliver acoustic energy to the target tissue, wherein the treatment sequences are spaced apart by acoustic processing intervals, and the delay intervals are larger than the maximum acoustic processing interval by a predetermined coefficient.

The present application relates to the technical field of data processing, and particularly relates to a data mining intelligent processing and analysis method, comprising the following steps: identifying a responsive section in the behavior sequence which is rewritten by a treatment action, and outputting a corresponding treatment cut set; performing chain breaking separation on the behavior sequence to obtain a native evolution section which does not cross the treatment cut set; taking the native evolution section as input to generate a corresponding candidate mode chain, and performing back-filling exclusion on the candidate mode chain in combination with the treatment sequence to output a stable mode chain; and taking the stable mode chain as input to generate a trusted mining result of the object to be mined. The present application can effectively block back-filling pollution generated by system or artificial treatment behavior on subsequent data, so that the subsequent mining process no longer depends on the data track which has been intervened, and the pseudo-law shaped by treatment is avoided to be misidentified as a real mode from the source, thereby significantly improving the objectivity and authenticity of the data mining result.

The application relates to the technical field of medical robots and discloses a medical mechanical arm coordination control method and system based on global redundancy optimization, which comprises the following steps: collecting patient head MRI image data, establishing a multi-coordinate system conversion chain, generating a head collision detection grid model to solve a medical safety subset corresponding to each single target point in a target point sequence to be treated; constructing a redundancy configuration transition graph to obtain a global optimal redundancy parameter sequence, and then generating a joint space trajectory; calculating a new target pose which needs to be compensated for the mechanical arm end in the trajectory execution process and estimating a corresponding new medical safety subset, and finally generating fine-tuning joint instructions; through global planning of redundancy transition intersection and real-time constraint of dynamic safety subset, the application effectively eliminates joint motion jumps caused by redundancy parameter mutations, realizes smooth transition of a multi-target point treatment sequence and high-precision stable control in a dynamic following process.

The invention discloses a far-infrared intelligent Dan moxibustion cooperative system based on big data analysis and an intelligent Dan moxibustion bed, and the method comprises the steps: firstly, generating a homogenized acupoint distribution map through heat radiation scanning, combining an analysis algorithm with a physiological model for comparison, precisely marking a thermal anomaly region, and extracting a treatment point coordinate set; secondly, dynamically calculating a temperature gradient curve based on priority ranking and sensor feedback, and optimizing treatment parameters; and finally, fusing distance sensor data and a posture calibration system, determining an accurate treatment distance, and integrating duration control and vector data to form a continuous collaborative treatment sequence, so as to ensure treatment precision and adaptability. According to the method, through integrated innovation of heat energy distribution analysis, dynamic parameter adjustment and posture calibration, the accuracy and personalized adaptive capacity of acupoint treatment are remarkably improved, and an efficient solution is provided for accurate intervention of heat energy abnormity of a human physiological system.

The invention relates to the technical field of orthopedic treatment, in particular to an orthopedic treatment decision support system based on data driving, which comprises a risk division module, a case matching module, a treatment decision generation module, a multi-source data fusion module and an intervention path optimization module. According to the method, a joint judgment means of fracture density and local stress distribution is introduced into bone image analysis, the microscopic damage information and the stress state of a bone structure are comprehensively measured, fine division of different risk levels is achieved, and a joint multi-measurement-point interval change trend is combined with a vectorization comparison mode; in case retrieval, the double matching accuracy of space and trend is improved, an interference relation sorting mechanism based on space position, size and progress rate is established for a multi-focus situation, so that the treatment sequence has integrity and relevance, a unified structure, focus and intervention information link is formed, and the accuracy of medical treatment is improved. And a treatment suggestion considering the focus influence range, the intervention opportunity and resource allocation is formed.

A wearable cardiac defibrillator with improved heart rate detection capability for arrhythmia warnings and treatment includes sensing electrodes configured to sense a patient's electrical cardiac activity, therapy electrodes configured to deliver therapeutic shocks to the patient's heart, and a cardiac controller. The cardiac controller is configured to perform an initial determination of an arrhythmia condition based on an arrhythmia analysis of patient ECG signals, identify and record an initial heart rate associated with the initial determination, and generate an initial heart rate (HR) score using the initial heart rate. The cardiac controller is also configured to determine a second heart rate subsequent to the initial heart rate, generate an arrhythmia verification HR score using the initial HR score and second heart rate, compare the arrhythmia verification HR score to a predetermined HR score threshold, and determine whether to initiate a treatment sequence for the patient based on the comparison.

The application relates to a medication recommendation method and system, which comprises the following steps: preprocessing original medical data of a current patient into a standardized time sequence diagnosis and treatment sequence; inputting the time sequence diagnosis and treatment sequence and a medical professional knowledge base into a code-visit two-level hierarchical attention model for processing, obtaining code-level aggregated features of each visit and corresponding visit-level attention weights, weighting and aggregating the code-level aggregated features based on the visit-level attention weights, and generating a global health representation of the current patient; searching for similar historical cases as reference cases from a case information base based on at least one of a plurality of medical feature information of the current patient; and generating and outputting a medication recommendation list for the current patient based on at least the global health representation of the current patient and a medication scheme of the reference cases. The application can improve the accuracy and safety of medication recommendations for the current patient, thereby better assisting doctors in making medication decisions.

This invention discloses a multimodal radiomics-based HDRBT combined with thermal ablation therapy for liver cancer efficacy evaluation system, relating to the field of liver cancer treatment. The system includes: a multimodal image data acquisition module for collecting multimodal image data; a three-dimensional visualization model construction module for reconstructing the three-dimensional structure of the liver tumor, surrounding blood vessels, and bile ducts through image segmentation algorithms and integrating radiomics features to generate a visualization model; a combined treatment plan generation module for integrating HDRBT dosimetric parameters and thermal ablation process parameters, optimizing catheter insertion path, thermal ablation electrode position, and treatment sequence to generate a combined treatment plan; and an efficacy evaluation module for quantitatively analyzing tumor volume changes, ablation boundary integrity, and residual tumor activity through precise registration of multimodal images before and after treatment. This application's solution can address the problems of incomplete thermal ablation and high recurrence rate in hepatocellular carcinoma, providing full-chain technical support for precise clinical application.