64 results about "Treatment modality" patented technology

The invention relates to an advanced gastric cancer survival prediction system based on Lasso regression, Cox regression and an interpretable machine learning technology, and belongs to the technical field of medical artificial intelligence and intelligent decision support. According to the system, by collecting multi-modal clinical data (including demographic information, TNM staging, treatment modes, tumor grading and the like) of a patient, survival-related variables are screened by adopting Lasso regression and a Cox proportional risk model, and an optimized feature set is constructed. Based on the feature set, the system integrates various mainstream machine learning algorithms (such as XGBoost, Random Forest, SVM, Logistic regression and the like) to construct a prediction model, compares the performance of each model, and selects a model with an optimal effect as a main model. And hyper-parameter tuning is performed on the model through grid search and cross validation, so that the precision and generalization ability of the model are improved. An SHAP interpretability analysis method is introduced into the system, transparent interpretation is carried out on a model output result from the global level and the individual level, and the importance and directional effect of all variables in survival prediction are determined. Finally, the model is deployed on a terminal device, a doctor is supported to automatically output the survival probability and an explanation result after inputting patient information, and a reference basis is provided for clinical treatment decision and personalized management. The system has the advantages of high prediction precision, high interpretability, convenience in use, sustainable optimization and the like, is suitable for clinical aid decision-making scenes, and has good application prospects and popularization values.

The invention discloses an AI-based child nebulization treatment management system and method, and relates to the field of treatment scheme management, and the system comprises a management and control module which is used for obtaining the medical general archive access and read-write authority of a target medical place, carrying out the editing and sending of a control instruction for each functional module, and sending the control instruction to the medical general archive access and read-write authority to the medical general archive access and read-write authority to the medical general archive access and read-write authority; summarizing and storing working results and analysis data of the functional modules; the data acquisition module is used for acquiring physique data, illness state data and treatment plans of the patient in the current period based on a medical general archive; the feature selection module is used for performing feature recognition on the data acquired by the data acquisition module by adopting a multi-modal feature coupling algorithm; by collecting and analyzing physical characteristics, disease progression, historical treatment response and feedback information of a patient in real time, a personalized treatment scheme is formulated according to specific conditions of each child, a general treatment mode is avoided, unnecessary side effects are reduced, and treatment effectiveness and safety are improved.

The invention discloses a leg bracket for radiotherapy, and relates to the field of medical instruments, the leg bracket comprises a metal supporting leg, the top end of the metal supporting leg is fixedly provided with a supporting plate, and the top of the supporting plate is provided with a popliteal space supporting plate; a rotating seat is fixedly installed on the side face of the supporting plate, a rod set is rotationally connected to the rotating seat, a rotating seat is fixedly installed at the end of the rod set, a leg supporting plate is rotationally installed on the rotating seat, and the surface of the leg supporting plate and the surface of the popliteal space supporting plate are both wrapped with anti-skid rubber sleeves filled with sponge. According to the leg bracket for radiotherapy, through mutual cooperation of the popliteal fossa supporting plate, the leg supporting plate, the first adjusting unit, the second adjusting unit and the third adjusting unit, the use state of the leg bracket can be adjusted according to an actual to-be-treated part in the use process of the leg bracket, so that the use flexibility of the leg bracket is better; and the requirements of different treatment modes can be met.

Devices, methods and systems are disclosed for assisting patients in behavioral modification and cessation programs aimed at terminating undesired behaviors such as smoking, alcohol use and others. Patient devices configured to be easily carried or worn including test units such as carbon monoxide blood level sensors with automated patient prompting for self-testing, analysis of test results and data logging are included in a networked system with a specifically designed treatment modality. Devices and methods disclosed are particularly suited to use in smoking cessation treatment and programs.

The utility model discloses a breathing atomization device and a breathing atomization adapter tube, and relates to the technical field of breathing equipment, the breathing atomization device comprises a breathing main machine, an atomizer, a patient interface and an adapter tube, the adapter pipe is provided with a first connector capable of being connected with an airflow outlet air path, a second connector capable of being connected with a patient connector pipeline air path and a third connector capable of being connected with an atomizer mist outlet air path. Micro particles obtained after liquid medicine output by the atomizer is atomized are mixed with gas output by the gas flow outlet of the main machine and then output to a patient through a patient interface pipeline, and the atomization function and the humidification function are integrated; when the atomization function does not need to be used, the adapter tube is taken down, the situation that the humidification efficiency is reduced due to gas leakage caused by the fact that a traditional installation part cannot be detached and is blocked in a cap mode is avoided, high-flow humidification treatment can be achieved, atomization drug administration treatment can be provided for a patient at the same time, and the purpose of providing multiple treatment modes for the patient is achieved.

The invention discloses an accurate value incentive accounting method for a DIP disease category subdivision value portrait under DRG, and belongs to the technical field of medical payment and hospital management, and the method comprises the following steps: 1) a data fusion model: integrating DRG grouped data, a DIP score, a clinical path execution rate, cost accounting and patient satisfaction data, and constructing economic, clinical and social three-dimensional value portraits; 2) dynamic grouping optimization: introducing a machine learning algorithm, and dynamically subdividing DIP disease species into subgroups according to complication severity, treatment mode difference and resource consumption dispersion; after disease category subdivision, the matching degree of the DIP score and the actual cost is improved by 20%-30%, the medical insurance payment refusal risk is reduced, payment accuracy improvement is achieved, through strategic disease category support, the CMI value is averagely improved by 0.15, the difficult case recovery rate is increased by 12%, medical quality optimization is achieved, and through linkage excitation of the balance contribution rate and the patient satisfaction degree, the medical quality is improved. The medicine consumption ratio is reduced by 5-8%, the hospitalization day is shortened by 1.2 days, and the operation efficiency is improved.

The invention discloses an ECMO injury risk prediction method and system based on deep learning. The method comprises the steps of multi-dimensional data acquisition, data processing enhancement, multi-dimensional injury risk prediction, injury treatment path prediction and ECMO injury risk prediction. The invention relates to the technical field of ECMO injury risk prediction, in particular to an ECMO injury risk prediction method and system based on deep learning, and the method employs a bidirectional prediction method combining multi-dimensional injury risk prediction and treatment path prediction, and comprises the steps: firstly predicting a specific injury type, risk and change trend; the direct availability and the result effectiveness of the ECMO injury risk prediction are improved by combining the recommended treatment mode, path and treatment effect prediction; a deep bidirectional long-short term neural network combining multi-modal fusion and multi-task learning is adopted to carry out multi-dimensional damage risk prediction; and performing injury treatment path prediction by adopting a feature-optimized treatment path prediction network, and constructing a treatment path full-name prediction model.

The present invention discloses a system for determining a venous thromboembolism prevention plan based on diagnosis and treatment information, and relates to the field of data processing technology. The system for determining a venous thromboembolism prevention plan includes: a feature matching module, which is used to establish a symptom matching model based on the symptom characteristics of venous thromboembolism, and collect the real-time diagnosis and treatment characteristics of the target object and input them into the symptom matching model for feature matching; a risk assessment and grading module, which is used to predict the risk probability of venous thromboembolism in the target object according to the feature matching results; and a personalized plan formulation module, which is used to formulate personalized venous thromboembolism prevention plans for target objects of different risk levels in combination with the preference characteristics of the target object. The present invention can accurately capture multiple factors such as the target object's treatment preference, drug selection preference, and risk tolerance preference through the preference analysis module, and then further optimize the prevention plan based on these personalized data.

A treatment modality for use in the remediation of damaged tissues that involves protease down regulator solution impregnated microspheres, and the methods of production and therapeutic use thereof.

Provided is a treatment support system capable of easily determining a radiation treatment device desirable for a patient. An arithmetic processing device 101 predicts a treatment effect index for each treatment modality of a radiation treatment device 202 by using a region of interest which corresponds to a part related to the irradiation of a patient with radioactive ray in a three-dimensional fluoroscopic image showing the patient, and also using parameter information which indicates a value of a parameter for the prediction of a treatment effect index for evaluating the effect of a radiation treatment for each treatment modality of the radiation treatment device 202 for performing the radiation treatment.

The invention provides an image-based tumor treatment effect evaluation method, which belongs to the technical field of treatment effect evaluation, and comprises the following steps: establishing a tumor baseline image feature library and a treatment scheme time window mapping table, and carrying out multi-time-point medical image acquisition in a treatment specificity evaluation time window; obtaining a time sequence medical image data set containing different time points after treatment, processing time sequence data by adopting tumor segmentation software and image quantitative analysis software, dynamically adjusting identification parameters according to a treatment specificity evaluation time window, and establishing a time window parameter mapping relation; tumor volume change features, density change features and boundary definition features are extracted to establish a tumor image feature change matrix, and a comprehensive treatment effect evaluation report is generated according to the image recognition result of the optimal evaluation time point. The technical problem that the treatment effect evaluation precision is insufficient due to the fact that optimal image evaluation time windows of different treatment modes are not matched is solved.

This invention provides an intelligent ultrasonic conductance directional drug penetration therapeutic device. Compared to existing technologies, this invention also includes a drug penetration module that contacts the patient's skin to apply the drug to the patient's skin, an adaptation module that adjusts the drug penetration efficiency of the drug penetration module according to the patient's skin location, and a fixation module for adapting the drug penetration module to different skin locations. This invention integrates ultrasonic treatment, drug delivery, infrared sensing, and compress clamping functions, achieving a combined application of multiple treatment methods. Utilizing ultrasonic technology, it allows drugs to penetrate the patient's skin more easily, thereby improving drug utilization.

Systems and methods described herein include a pressure delivery component that has a pressure applicator configured to selectively apply therapeutic pressure to a treatment portion of a user body, and also includes a thermal delivery component that has a thermal applicator that is a configured to apply thermal treatment to the treatment portion. The thermal applicator may be removably disposable in operative relationship with the pressure delivery component in a use configuration of the treatment delivery component Treatment delivery component is reconfigurable between a first configuration in which the treatment portion is a first treatment portion that includes a lower leg and foot of the user's body, and a second configuration in which the treatment portion is a second treatment portion that includes an upper arm and deltoid of the user's body.

The invention belongs to the technical field of medical data processing, and provides a multimodal fusion-based liver cancer longitudinal relapse prediction and treatment effect evaluation system, which comprises a data set construction module, which is used for forming a longitudinal queue data set by using longitudinal queue data samples of a plurality of patients, and setting a relapse time label for each longitudinal queue data sample; the training module is used for training a recurrence network by utilizing the longitudinal queue data set to obtain a recurrence model; the recurrence prediction module inputs the to-be-predicted longitudinal queue data of the patient into the recurrence model to obtain a prediction result of each treatment time point, and the prediction result comprises the recurrence probability of more than one future time period; the curative effect evaluation module is used for acquiring simulation longitudinal queue data corresponding to different treatment modes selected by the to-be-evaluated patient at the current relapse time point; and inputting the simulated longitudinal queue data into the recurrence model to obtain a prediction result of each treatment time point. According to the method, the accuracy and generalization of the recurrence model are improved, and doctors are accurately and efficiently assisted in selecting treatment modes.

The invention discloses a benign paroxysmal positional vertigo therapeutic apparatus, and relates to the technical field of medical apparatuses and instruments. Comprising a support; the rotating ring is in sliding connection with the bracket; the fixed table is arranged on the inner side of the rotating ring and is fixedly connected with the rotating ring; the first electric rotating table is arranged on the inner side of the rotating ring and is far away from the deflection table; the first end of the U-shaped frame is rotationally connected with the fixed table, and the second end of the U-shaped frame is fixedly connected with the first electric rotating table; the seat is arranged at the first end of the U-shaped frame; the driving assembly is arranged on the support and used for driving the rotating ring to rotate. On the basis of rotation of the rotating ring, the position of a user can be adjusted in multiple directions, and the body position of the user can be changed, so that multiple treatment modes of manual reduction can be realized, and the practicability of the device is improved.

The application discloses an oral orthodontic anchorage nail implantation operation patient's physical and mental state monitoring system and method, relates to the oral orthodontic treatment technical field, and comprises a patient physiological signal information acquisition unit, which is used for collecting patient physiological signal information and transmitting the patient physiological signal information to a processing and analysis unit for processing and analysis; the processing and analysis unit is used for processing and analyzing the collected patient physiological signal information, determining the patient's physical and mental state according to the patient physiological signal information, and triggering an early warning mode; and a mobile terminal platform is used for displaying the early warning mode output by the processing and analysis unit to doctors and patients and recommending a treatment mode according to the early warning mode. The application can record, analyze and feedback the patient's physical physiological information and changes before, during and after operation in a whole cycle, help doctors and nursing staff understand the real-time health condition change trend of the patient, provide guidance and support for clinical operation, help the patient better accept and adapt to the anchorage nail treatment, and improve the patient's acceptance and satisfaction.

The invention provides a medical supervision platform. A patient personal information base and a pathology big database are established; the doctor inquires the patient according to the information of the patient information base and makes corresponding diagnosis; the supervision module compares and checks the diagnosis content of the proofreading doctor through big data; after checking, doctor diagnosis is input into a patient information base, and corresponding medical resources are allocated; the patient personal information base comprises basic information of patients, past medical history, medicine allergy history, examination results and uncomfortable symptoms, the pathology big database comprises disease names, disease indications, medicine principles and treatment modes, the platform can improve the accuracy and rationality of medical diagnosis, and by checking a medicine treatment scheme of a doctor, the medical diagnosis accuracy and rationality can be improved. And the treatment mode, the medicine type and the dosage are ensured to meet medical standards and patient requirements. The proofreading steps are helpful for reducing the risk of drug treatment and improving the treatment effect of patients.

The invention provides a series of substituted aryl pyrimidine compounds and the use of these compounds as therapeuties to treat or prevent neurodegenerative disorders, including Parkinson's disease. Compounds of the invention are also able to treat the symptoms of such diseases and therefore represent a new treatment modality for ameliorating chronic and acute conditions. The compounds of the invention are capable of selectively potentiating the activity of the Nurr1:RXRα heterodimer, and are able to treat diseases or conditions associated with aberrant Nurr1:RXRα function. The invention further provides methods for treating neurodegenerative disorders by administration of Nurr1:RXRα activating agents.

The utility model discloses an intelligent insomnia treatment system based on brain-computer interface and transcranial magnetic technology, which comprises a brain-computer interface module, a transcranial magnetic stimulation module, a central control unit and a user interaction interface, and the brain-computer interface module is electrically connected with the transcranial magnetic stimulation module. Direct communication between the human brain and external equipment is achieved by monitoring electroencephalogram signals through the brain-computer interface technology, the sleep state is affected by generating a magnetic field on the scalp surface and adjusting brain activity through the transcranial magnetic stimulation technology, the sleep state of a user can be effectively monitored and adjusted by effectively integrating the brain-computer interface technology and the transcranial magnetic stimulation technology, and the sleep state of the user can be effectively monitored and adjusted. Compared with traditional drug treatment and invasive surgery, the treatment mode does not need to be operated in the body at all, surgical risks and the postoperative recovery period are avoided, side effects caused by drug treatment are avoided, and the convenient user experience effect is achieved.

The invention discloses a multipurpose tumor treatment system, and relates to the technical field of medical equipment, and the system comprises an ion source which is used for generating a low-energy proton flow; the input end of the proton flow acceleration unit is connected with the output end of the ion source, and the proton flow acceleration unit is used for accelerating the low-energy proton flow and can lead out medium-energy proton flows with different numerical values; the switching deflection unit is connected to the proton flow acceleration unit to realize switching control of transmission of different paths; the proton flow acceleration unit is provided with three transmission paths: 1, the high-energy proton flow acceleration unit is connected with the synchrotron, and the high-energy proton flow is further accelerated by the synchrotron and then transmitted to at least one proton treatment room; secondly, the high-energy proton flow acceleration unit is transmitted to a radiopharmaceutical production terminal through the switching deflection unit; and thirdly, the proton flow acceleration unit with lower energy is transmitted to the neutron target chamber through the switching deflection unit for BNCT treatment. The device has a multi-purpose treatment mode, achieves multiple purposes, and improves the utilization rate of the device.

The present invention relates to an intelligent tumor diagnosis and treatment auxiliary system and method based on a large language model, which creates a tumor computer simulation system and performs three-dimensional simulation of the tumor in the first tissue based on CT image data to obtain a first three-dimensional model, calculates its tumor volume, and selects a first treatment method when the tumor volume is greater than a preset volume threshold, otherwise the first three-dimensional model is cut in the computer simulation system and the tumor volume in each model is calculated respectively; CT image data of the tumor of the first tissue at another time point is obtained, and the tumor of the tissue is simulated in three dimensions through the computer simulation system, and the second three-dimensional model is cut after obtaining, and the tumor volume and tumor growth rate in each model after cutting are calculated respectively, and the tumor growth rate in each model is compared with the preset growth rate threshold, and the treatment method is adjusted according to the growth rate. The selection of treatment methods is assisted to improve the decision-making efficiency of treatment methods.

The invention discloses an electrode current output circuit and a therapeutic apparatus, and relates to the technical field of medical instruments, and the electrode current output circuit comprises an electrode current output circuit composed of at least one current output circuit, and the current output circuit comprises a current coupling unit and a coupling current output end connected with the current coupling unit. The coupling current output end is connected with one electrode piece, the radio frequency current and the electrical stimulation current are coupled and output as coupling current through the current coupling unit, and the coupling current is output from one electrode piece connected with the coupling current output end and acts on a treatment area attached to the electrode piece. The coupling current comprises the radio frequency current and the electrical stimulation current, so that the coupling current is output and acts on the treatment area attached to the electrode piece, that is, the radio frequency current and the electrical stimulation current are output and act on the same treatment area at the same time, and the problem that the treatment effect is poor in a conventional combined treatment mode is solved; and high-efficiency multi-layer combined treatment can be realized.

Provided are a monitoring device and a monitoring method thereof. The monitoring device (100) includes: a memory (104) for storing an executable program; a processor (101) for executing the program stored in the memory (104), so that the processor (101) performs the following actions, including: determining the current condition information of the monitored subject based on at least two types of physiological parameters of the monitored subject; generating processing information of a treatment tool associated with the current condition information based on the current condition information, wherein the processing information includes parameter information when a treatment method corresponding to the treatment tool is used on the monitored subject, and / or the processing information includes prompt information corresponding to the treatment tool; a display (103) for at least displaying the physiological parameters on a display interface; and displaying the processing information on the display interface when the processing information is acquired.

The present invention relates to methods for tuning treatment parameters in movement disorder therapy systems. The present invention further relates to a system for screening patients to determine viability as candidates for certain therapy modalities, such as deep brain stimulation (DBS). The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette syndrome, stroke, and the like. The present invention yet further relates to methods of tuning a therapy device using objective quantified movement disorder symptom data acquired by a movement disorder diagnostic device to determine the therapy setting or parameters to be provided to the subject via his or her therapy device. The present invention also provides treatment and tuning remotely, allowing for home monitoring of subjects.

The invention discloses an irradiation head structure of a millimeter wave therapeutic instrument, and belongs to the technical field of medical instruments. A rotating ring rotates in the shell; a movable frame is arranged on the rotating ring through a supporting cross beam; a radiation head is arranged on the movable frame, a rolling piece is arranged on the movable frame, a fixed disc is arranged in the shell, an inner ring groove and an outer ring groove are formed in the lower surface of the fixed disc, a connecting groove is formed between the inner ring groove and the outer ring groove, the rolling piece rolls in the inner ring groove or the outer ring groove, and a step is arranged at the connecting position of the groove bottom of the inner ring groove and the connecting groove. A rotating plate is rotationally arranged at the connecting position of the outer ring groove and the connecting groove. According to the invention, rapid switching of treatment modes can be realized. When single-area irradiation treatment and large-area irradiation treatment are mutually switched, the rolling piece can enter the inner ring groove from the outer ring groove along the connecting groove or enter the outer ring groove from the inner ring groove along the connecting groove only by controlling the motor to change the rotating direction of the rotating ring, complex operation and additional devices are not needed, and treatment modes can be rapidly changed.

The present application belongs to the technical field of medical data processing, and provides a liver cancer longitudinal recurrence prediction and treatment efficacy evaluation system based on multi-modal fusion, comprising: a data set construction module, which uses multiple patient longitudinal cohort data samples to form a longitudinal cohort data set, and sets a recurrence time label for each longitudinal cohort data sample; a training module, which trains a recurrence network using the longitudinal cohort data set to obtain a recurrence model; a recurrence prediction module, which inputs the patient's to-be-predicted longitudinal cohort data into the recurrence model to obtain prediction results at each treatment time point, the prediction results including the recurrence probability of more than one future time period; and an efficacy evaluation module, which obtains simulated longitudinal cohort data corresponding to different treatment methods at the current recurrence time point of the patient to be evaluated; and inputs the simulated longitudinal cohort data into the recurrence model to obtain prediction results at each treatment time point. The present application improves the accuracy and generalizability of the recurrence model, and accurately and efficiently assists doctors in selecting treatment methods.

The invention provides a dynamic DRG grouping system integrating ICD coding and multi-dimensional resource demand evaluation. The system breaks through the limitation that traditional DRG grouping is single in basis and insufficient in dynamic adjustment, and more accurate case grouping is achieved by integrating multi-dimensional data such as patient conditions, treatment modes and resource consumption. A machine learning algorithm is introduced into the system, grouping standards are dynamically adjusted, and it is ensured that the system adapts to newest medical data and technical progress at any time. Meanwhile, a real-time feedback and self-learning mechanism is designed in the system, and a grouping algorithm is continuously optimized through feedback of medical staff. Through multi-level data integration and visual analysis, the system can generate a decision support report, and the hospital resource management and cost control efficiency is improved. According to the system, the accuracy of patient management and the rationality of resource utilization are remarkably improved, and the system has a wide application prospect.

The invention discloses a body and mind state monitoring system and method for an orthodontic anchorage nail implantation operation patient, and relates to the technical field of orthodontic treatment, and the system comprises a patient physiological signal information collection unit which is used for collecting patient physiological signal information and transmitting the patient physiological signal information to a processing and analysis unit for processing and analysis; the processing and analyzing unit is used for processing and analyzing the collected physiological signal information of the patient, judging the physical and mental state of the patient according to the physiological signal information of the patient and triggering an early warning mode; and the mobile terminal platform is used for displaying the early warning mode output by the processing and analyzing unit to a doctor and a patient and recommending a treatment mode according to the early warning mode. The system can record, analyze and feed back body physiological information and changes of a patient before, during and after an operation in real time in a whole cycle, helps doctors and nursing personnel to know the change trend of the real-time health condition of the patient, provides guidance and support for clinical operation, helps the patient to better accept and adapt to anchorage nail treatment, and improves the acceptance and satisfaction of the patient.

A medical management system is provided that includes components to monitor a patient and manage vagus nerve stimulation (VNS), such as transcutaneous VNS (tVNS). Patient data indicating patient parameters are captured by sensors of a wearable device intended for long-term wear by the patient. The resulting patient data are analyzed to gain information on the treatment and aspects of the person that may facilitate a closed loop treatment system to make adjustments, such as changes to timing factors for treatments, as well as making comprehensive decisions about treatment plans, such as foregoing one modality of treatment for another, discontinuing treatment, or augmenting with additional types of treatment.

The invention provides a multi-modal deep learning-based head and neck tumor intelligent auxiliary analysis method and system, and the method comprises the steps: introducing a pre-trained segmentation model, the pre-training of a multi-modal deep learning model, an efficient data set construction and labeling scheme, and a comprehensive model training and performance verification method. And a multi-modal head and neck tumor analysis model is constructed and is used for feature recognition of clinical head and neck tumors and prediction recommendation of diagnosis and treatment strategies. Based on a head and neck tumor segmentation model, a classification model for guiding precise treatment is established, so that the model has high segmentation precision and stability on various types of head and neck tumor image data, and the multi-modal head and neck tumor analysis model is subjected to pre-training and multi-modal overall independent training, so that the accuracy of the head and neck tumor image data is improved. The multi-modal head and neck tumor analysis model can be subjected to multiple correction training, so that the multi-modal head and neck tumor analysis model has high prediction accuracy and can effectively distinguish different treatment modes and prognosis conditions.