48 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 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.

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.

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.

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 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.

One or more new metrics are introduced into the treatment planning process. More specifically, a correcting factor / metric referred to herein as the critical / repair ratio index is introduced, and / or a correcting factor / metric referred to herein as the spatial periodicity of critical isodose value is introduced. By using these metrics, the expected sparing from the spatial distribution of dose is better accounted for in treatment modalities including spatially fractionated radiation therapy (SFRT) in general and SFRT with ultra-high dose rates in particular. According to a treatment planning strategy, the target can be covered by a Spread-Out Bragg Peak, to optimize and / or homogenize the dose distribution at the target level but still benefit from the sparing effect of SFRT at the healthy tissue level. Delivery techniques include a dynamic focusing technique and a magnetic beam steering technique. Enhancing dose rate enables maximizing the peak-to-valley dose distribution with SFRT despite patient motion.

Fusion Protein compositions comprising masked IFNs and methods of making masked IFNs are disclosed herein. Consequently, the masked IFNs can be fused to a Mab or binding fragment thereof and be administered to patients as a therapeutic modality and provide a method of treating cancer, immunological disorders and other disease.

The utility model discloses a portable multifunctional dressing device, and belongs to the technical field of dressings. The annular dressing is composed of an annular dressing body, a multifunctional double-fixing device and a connecting lacing. A hollow medicine applying area and a female hook-and-loop fastener are arranged on an annular dressing body, one end of a connecting tying belt is connected to the dressing body in front of the female hook-and-loop fastener, and a multifunctional fixing device composed of a rectangular shell layer with a zipper at the top end and a fixing belt is connected to the dressing body behind the hollow medicine applying area through the inner side end. A heat preservation layer is arranged in the shell layer, and a heating or cold compressing material is arranged in the heat preservation layer; a secondary magic tape is arranged on the inner side surface of the shell layer, a fixing band is arranged at the outer side end of the shell layer, a connecting buckle is arranged at the top end of the fixing band, and a thumb fixing hole is further formed in the annular dressing body. The device facilitates replacement of therapeutic drugs and physical therapy modes, is light and heat-insulating in material, is convenient to wear and take off, and does not affect work and study when being worn, so that the recovery efficiency is improved.

The invention discloses a traditional Chinese medicine fumigation and deep spectrum combined therapeutic apparatus, and relates to the technical field of medical equipment. The traditional Chinese medicine fumigation combined deep spectrum therapeutic apparatus comprises a fumigation main body, a supporting arm assembly and a spectrum therapeutic device, the supporting arm assembly is rotatably arranged on the fumigation main body; the spectrum treatment device is arranged on the supporting arm assembly, and the supporting arm assembly is used for adjusting the height and the light emitting angle of the spectrum treatment device. The structure of the therapeutic apparatus is improved, the convenience of fumigation treatment and spectrum treatment is improved, the two treatment modes can achieve a synergistic effect, the treatment requirements of different patients can be met, and the treatment effect and efficiency are remarkably improved.

The technical field of the application is brain low-energy photon treatment equipment, and specifically discloses an extracorporeal transcranial therapeutic instrument. The therapeutic instrument is mainly composed of a protective shell, a treatment window and a beta ray source, and forms a closed container cavity, the beta ray source is located inside the cavity, the treatment window is designed to be provided with a beta ray filter sheet which is completely matched with the window area specification, the beta ray filter sheet filters out harmful beta rays, and low-energy photons are generated in the process, and effective treatment of patients is realized. The extracorporeal transcranial therapeutic instrument has many advantages, first, it is a non-invasive treatment method, which avoids the risk of traumatic surgery; second, it is easy and flexible to operate, and can meet the needs of different patients, especially in emergency situations; in addition, it is low in cost and has no radiation pollution, which also wins the favor of many users.

The present disclosure relates to methods for determining at least one treatment modality of a dialysis treatment of a specific patient depending on at least one value out of the group of values, a first value reflecting the overhydration (OH) of the patient, a second value reflecting the salinity or osmolarity of the patient, a third value reflecting the blood pressure of the patient, a fourth value reflecting the renal function of the patient, a fifth value reflecting a heart issue the patient, a sixth value reflecting hypotension of the patient, a seventh value reflecting vessel conditions, and an eighth value reflecting a total protein content of the patient. Herein, an algorithm or reference material is used. Furthermore, the disclosure relates to devices for executing this method and processing the results of the method.

The invention discloses a lymphedema rehabilitation system and method based on multi-modal integration, relates to the technical field of rehabilitation assistance, and has the technical key points that the rehabilitation system and method greatly improve the treatment effect by virtue of multiple innovative functions. According to the invention, accurate synchronization and deep complementation of infrared thermal imaging evaluation, audio nerve regulation, meridian mechanical stimulation and pressure treatment are realized, and the synergistic interaction characteristic of each treatment mode is fully embodied; by means of the infrared thermal imaging technology, the lymphatic circulation abnormal part is accurately recognized, the autonomic nerve state is adjusted through guiding audio, and the physiological function and the psychological emotion can be optimized at the same time in cooperation with targeted meridian intervention and pressure therapy, so that the physical and psychological health is effectively promoted, the scientificity and pertinence of treatment are remarkably enhanced, and the treatment cost is reduced. And the accuracy and individuation of the treatment effect are ensured.

The invention relates to the technical field of mechanical arm control, and discloses a mechanical arm control system and method based on 3D human body model projection and image recognition, and the system comprises a 3D human body model projection module which obtains medical image data of a patient, constructs a 3D human body model of the patient, and projects the 3D human body model on the body surface of the patient; the image recognition module collects a projection image of the body surface of the patient in real time and determines a to-be-treated position of the patient based on the projection image; the treatment scheme generation module is used for acquiring case information and a to-be-treated position of the patient, and determining a customized treatment scheme of the patient according to the case information and the to-be-treated position based on the disease management database; and the mechanical arm control module is used for selecting a treatment tool and a treatment mode according to the customized treatment scheme and controlling the mechanical arm to be positioned at the to-be-treated position of the patient to treat the patient. According to the invention, the to-be-treated position of the patient can be accurately determined, so that the accuracy and effectiveness of treatment are improved.

The invention relates to the technical field of medical devices, in particular to an intelligent temperature control brachytherapy source applicator external member which comprises a source applicator and an external member body. The outer side of the advancing end of the source applicator is provided with an outer sleeve piece used for conducting deep regional thermal therapy on a patient, one side of the outer sleeve piece is provided with a heat insulation sleeve for achieving the heat insulation purpose, and the center of the heat insulation sleeve is provided with a mounting groove; wherein the interior of the mounting groove is matched with thermal therapy pieces with two thermal therapy modes, and the thermal therapy pieces are divided into a first thermal therapy piece and a second thermal therapy piece; temperature monitoring modules for temperature monitoring are mounted in the heat insulation sleeve at the upper and lower parts of the mounting groove; one end of the source applicator is provided with the external sleeve member, one side of the external sleeve member is provided with the thermal therapy member used for heating for treatment, when radiotherapy is carried out, the thermal therapy member with controllable temperature is started to carry out deep regional thermal therapy, and the radiotherapy and the thermal therapy are matched, so that the tumor treatment effect of a patient is better.