185 results about "Treatment plan" patented technology

Systems, devices and methods for internal dose adapted automated external radiation beam therapy, and systems and methods for an automated adaptive workflow to automatically generate a radiation treatment plan based on the internal dose and adapt the treatment plan to a current treatment session using a set of directives.

The application discloses a multi-leaf collimator motion control method, computer equipment and a storage medium. The multi-leaf collimator motion control method comprises the following steps: acquiring field shape data corresponding to a plurality of fields in a target treatment plan; determining the motion range of a multi-leaf collimator blade box corresponding to the plurality of fields according to the field shape data; and determining the motion value of the multi-leaf collimator blade box corresponding to the target treatment plan according to the motion range of the multi-leaf collimator blade box corresponding to the plurality of fields, so that the motion frequency of the multi-leaf collimator blade box is not greater than the number of fields during the execution of the target treatment plan. The motion value of the multi-leaf collimator blade box is determined in advance before the execution of the target treatment plan, so that the motion frequency of the multi-leaf collimator blade box during the execution of the target treatment plan is reduced as much as possible, the field forming speed of the multi-leaf collimator is improved, the field forming noise is reduced, and the service life of the multi-leaf collimator blade is prolonged.

The present disclosure relates to devices, systems, and techniques for determining the efficacy of a treatment plan. For example, a medical device system includes a medical device including one or more sensors configured to generate signals indicative of a parameter of a patient. Additionally, the medical device system includes processing circuitry configured to receive data indicative of a user’s selection of a reference time; determine a plurality of parameter values of the parameter based on a portion of the signals corresponding to a period of time including the reference time. Additionally, the processing circuitry is configured to identify a reference parameter value based on a first set of parameter values; calculate a parameter change value; and determine whether the patient has experienced an improvement or a worsening in response to a treatment administered beginning at the reference time based on the parameter change value.

The disclosed principles provide a system and method for improving brain health in a virtual reality environment. The system includes a virtual reality appliance and an artificial intelligence enabled program for providing and customizing the virtual reality environment with a treatment plan. The artificial intelligence enabled program includes an initial treatment phase wherein a user's baseline metrics are measured. Using these metrics, a treatment plan is created during a treatment plan development phase. The treatment plan is implemented during a treatment phase through a series of repeated mindfulness, cognitive, and physical exercises presented in a virtual reality environment. Data corresponding to the user's inputs during treatment is collected and stored. An artificial intelligence program analyzes user input data and modifies the treatment plan accordingly to optimize treatment. Treatment and evaluation and modification are alternately repeated according to the personalized, artificial intelligence-modified treatment plan to strengthen neural pathways.

This invention provides a physiotherapy system for pelvic floor function rehabilitation in cervical cancer patients, relating to the field of pelvic floor physiotherapy. The system includes: a data acquisition module for acquiring pelvic floor electromyography (EMG) and ultrasound data from multiple historical patients; a data analysis module for constructing an EMG atlas and an EMG-factor correlation atlas based on the aforementioned data; the data acquisition module is also used to acquire the current patient's pelvic floor EMG data based on the EMG atlas, and to acquire the current patient's pelvic floor ultrasound data based on the current patient's pelvic floor EMG data and the EMG-factor correlation atlas; a treatment plan determination module for determining the current patient's physiotherapy plan based on the current patient's pelvic floor EMG and ultrasound data; and a physiotherapy execution module for controlling the physiotherapy equipment to perform pelvic floor function rehabilitation physiotherapy based on the current patient's physiotherapy plan, thereby improving the flexibility and effectiveness of pelvic floor function rehabilitation physiotherapy for cervical cancer patients.

This invention relates to the intersection of traditional Chinese medicine modernization and intelligent healthcare, specifically falling under the category of pre-chronic disease screening and health management technology. More particularly, it relates to a method for diagnosing and treating pre-type 2 diabetes based on traditional Chinese medicine state theory, along with electronic devices and computer-readable storage media, constructing a complete, human-machine collaborative closed-loop diagnostic and treatment process. This method achieves objective data collection through portable devices using the four diagnostic methods of traditional Chinese medicine, utilizes a multi-algorithm fusion model to accurately identify the "potential pathological state" of pre-T2DM, and intelligently generates personalized intervention prescriptions based on this. Finally, it quantifies the effects and dynamically optimizes the treatment plan through data re-collection and model re-evaluation. This solves the problems of strong subjectivity in traditional Chinese medicine diagnosis and treatment, disconnection from modern technology, and lack of quantitative feedback and continuous adjustment after intervention. It achieves full-cycle, intelligent, and personalized health management for pre-T2DM, from identification and intervention to follow-up management.

A method for generating an orthodontic treatment plan for a user's dental arch, comprising the following successive steps: A) generating initial and final models representing the dental arch at initial and final times; B) for each tooth model in the initial model, determining a distance between the tooth model configurations in the initial and final models and the shortest possible time for the tooth model to travel said distance; C) identifying the limiting tooth model, which has the longest minimum travel time; D) determining a deformation scenario whereby the initial model is transformed into the final model by moving the tooth models so as to slow down at least one first slowed-down tooth model different from the limiting tooth model. No abstract figure

This invention discloses an auxiliary method for orthodontic treatment planning based on a digital twin of tooth movement, belonging to the field of orthodontic auxiliary technology. The method includes acquiring cone-beam computed tomography (CBCT) data of the patient's oral cavity and three-dimensional point cloud data of the tooth crown surface to construct a three-dimensional geometric model of the tooth-periodontal ligament-alveolar bone. The three-dimensional geometric model is discretized into a finite element mesh, and based on the patient's age, periodontal biotype, and CT grayscale value, periodontal ligament viscoelastic parameters, alveolar bone grayscale-mechanical mapping parameters, and tooth linear elastic constants are assigned to form an individualized digital twin of tooth movement. A target displacement vector is determined within the individualized digital twin of tooth movement, and the orthodontic force vector and anchorage requirement index are calculated. The anchorage requirement index is used to assist in the design of the orthodontic treatment plan. This invention can effectively improve the accuracy, predictability, and personalization of orthodontic treatment plan design, reduce reliance on experience, and optimize the overall treatment effect.

This invention discloses a lung care system for airway clearance based on ultrasound technology, belonging to the field of airway clearance technology. The system includes a data acquisition module, a risk assessment and control module, an ultrasound treatment parameter matching module, an ultrasound treatment execution module, a real-time feedback and control module, and a data storage module. This invention solves the problem that existing technologies cannot collect efficacy-related data in real time during treatment, nor can they dynamically adjust treatment plans based on efficacy data. This invention can dynamically adjust ultrasound treatment parameters according to the patient's real-time airway function status, achieving data-driven precision nursing, significantly improving airway clearance effects, reducing the risk of complications caused by sputum residue, avoiding ineffective treatment and over-intervention, shortening the treatment cycle, improving nursing efficiency, significantly reducing the risk of treatment-related adverse events, and enhancing the safety and reliability of lung care.

Provided in the present invention is a grading method for evaluating the severity of the clinical symptoms of hypersplenism. In the present invention, a model for evaluating the severity of the clinical symptoms of hypersplenism is constructed by means of performing logistic regression analysis on PLT, WBC and RBC to establish a nomogram, converting regression coefficients into a visual scoring system, separately performing score assignment on the basis of primary and secondary factors, and finally constructing a total-score-based hypersplenism grading prediction model. The model in the present invention is used to evaluate the severity of the clinical symptoms of hypersplenism in patients. By means of correlation analysis of peripheral blood cell testing results of patients with hypersplenism, hypersplenism grades of the patients are evaluated, such that personalized treatment plans can be provided to the patients in a timely manner, thereby avoiding delays in treatment.

A computer program is provided that includes an artificial intelligence-based model, wherein the computer program is designed to, when implemented by a computer, use the model to enable the computer to determine information characterizing a treatment plan for said refractive eye surgery based on information characterizing a patient and information characterizing the visual impairment of the patient's eye to be corrected by said refractive eye surgery.

This application relates to the field of biotechnology, specifically disclosing the application of immune cell subsets in the preparation of detection products for assessing the efficacy of neoadjuvant therapy and the risk of recurrence and metastasis in breast cancer. The detection method described in this application is non-invasive and convenient, requiring only peripheral blood, and is easy to repeat sampling and dynamic monitoring. This application also provides a predictive model for the efficacy of neoadjuvant therapy in breast cancer, and a predictive model for the risk of recurrence and metastasis in breast cancer treated with neoadjuvant therapy. The constructed predictive model has a high AUC value (0.82-0.87), and good sensitivity and specificity. Furthermore, through regular postoperative monitoring, abnormal dynamic changes in immune cell subsets can be detected, potentially indicating signs of recurrence earlier than imaging and traditional tumor markers. This helps identify advantageous populations before treatment and high-risk populations after treatment, enabling optimization of treatment plans and individualized adjustment of follow-up density.

A computing system includes a medical application for patient follow-up and education after a healthcare visit. The computing system includes a database with educational materials relating to diagnosis, medications, procedures, etc. A computing system obtains a selection from a healthcare provider, using a provider application or web portal, of the educational materials relating to a patient diagnosis or treatment plan. The computing system provides access to the selected educational materials to the patient using a patient application or web portal. The computing system generates a comprehension test relating to the educational materials and a symptom questionnaire relating to the patient diagnosis or treatment plan. The computing device may also generate a compliance questionnaire relating to patient compliance with the treatment plan. The computing device receives a patient response to the comprehension test, the symptom questionnaire and the compliance questionnaire and provides the patient response to the healthcare provider.

A boron neutron capture therapy system and a treatment planning generation method thereof, the boron neutron capture therapy system comprising a neutron beam irradiation device, a treatment planning module and a control module. The neutron beam irradiation device is used to generate a therapeutic neutron beam and irradiate to a boron-containing drug-incorporated irradiated body to form an irradiated site during irradiation therapy. 10 B). The treatment planning module performs dose simulation calculation according to medical image data of the irradiated site and parameters of the therapeutic neutron beam generated by the neutron beam irradiation device, and generates a treatment plan, wherein the medical image data of the irradiated site comprises tissue-related information and boron 10 B) concentration-related information. The control module calls the treatment plan corresponding to the irradiated body from the treatment planning module, and controls the neutron beam irradiation device to perform irradiation therapy on the irradiated body according to the treatment plan. The boron neutron capture therapy system and the treatment planning generation method thereof can improve the accuracy of model establishment and dose calculation.

This invention relates to a method and computing system for obtaining a treatment plan for a user. The method includes the steps of: receiving multiple general input data from a given user on a computing platform; generating a treatment identifier code from the multiple general input data; collecting multiple consultation data related to the user; scanning at least a portion of the user on the computing platform; and generating a treatment plan from the scan of at least a portion of the user. The invention also relates to a system and computing platform consistent with the method.

This invention relates to the field of orthodontics and discloses a method for designing a combined orthognathic and orthodontic treatment plan, an electronic device, and a computer-readable storage medium. The method includes obtaining an initial head model of a user; the position of the jawbone in the initial head model is the initial position of the jawbone; obtaining the target position of the user's jawbone and the corresponding unit movement step length of the jawbone; based on the initial head model and the unit movement step length of the corresponding jawbone, calculating how the user's jawbone gradually moves from the initial position to the target position or several intermediate positions of the jawbone near the target position, and arranging teeth at each jawbone position to obtain a head model corresponding to each jawbone position after tooth arrangement; wherein the jawbone position is either the intermediate position of the jawbone or the target position of the jawbone; selecting a head model that meets preset conditions from the head models corresponding to each jawbone position; and designing a treatment plan based on the head model that meets the preset conditions.

The control circuitry is able to access 400 patient-specific multidimensional information and subsequently, at least in part, automatically determine 406 supplementary boundaries for at least a portion of the patient (such as treatment targets and / or one or more organs at risk) based on the multidimensional information. The latter may include determining margins added to the boundaries of at least a portion of the patient. The control circuitry can then, for example, determine 407 the planned treatment volume based at least in part on the supplementary boundaries. These teachings will then allow for the optimization 408 of a patient-specific, radiotherapy-based treatment plan, for example, based on various motion dimensions derived at least in part from the aforementioned multidimensional information.

This invention provides a traditional Chinese medicine composition for treating renal edema, pyelonephritis with ascites, and nephritis. It consists of over 20 herbs including Atractylodes lancea, Areca catechu, Saposhnikovia divaricata, and Alisma plantago-aquatica (specific formulation details can be found in the original text). It can be prepared as pills, granules, or decoctions for oral administration. Core efficacy: 1. Promotes diuresis and reduces swelling, eliminating renal ascites; 2. Clears heat and detoxifies, anti-inflammatory and antibacterial (synergistic effect on fungal infections and cervical erosion); 3. Regulates renal function and improves abnormal uric acid metabolism. Treatment plan: Mild cases: Use five basic formulas (①-⑤) composed of Codonopsis pilosula, Poria cocos, etc., taken three times daily; Severe cases: Use a potent diuretic formula containing Akebia trifoliata and Euphorbia pekinensis (one spoonful of pills twice daily); Treatment course is approximately one month, with a follow-up examination after three months. Advantages: Cure rate reaches 90%, low recurrence rate – pure traditional Chinese medicine preparation, no significant toxic side effects; also treats complications (fungal infection, cervical lesions). This treatment plan has been clinically verified through three generations and has significant efficacy in treating renal edema, ascites, and nephritis.

This invention relates to the field of orthodontics, and discloses a method, device, and storage medium for designing a combined orthognathic and orthodontic treatment plan. The method involves obtaining an initial head model of the user; the position of the jawbone in the initial head model is the initial position of the jawbone; obtaining the target position of the user's jawbone; based on the initial head model, calculating several intermediate positions of the jawbone from the initial position to the target position, arranging teeth at each jawbone position, and obtaining a head model corresponding to each jawbone position after tooth arrangement; the jawbone position is either the intermediate position or the target position; selecting a head model that meets preset conditions from the head models corresponding to each jawbone position; and designing a treatment plan based on the head model that meets the preset conditions. This invention combines the orthognathic treatment effect at different stages with the orthodontic effect to obtain a comprehensive treatment effect, reducing communication time between orthodontists and orthognathic surgeons, and quickly providing a treatment plan that meets the needs of combined treatment.

This invention relates to the field of intelligent technology for underwater karst engineering treatment, specifically to a system and method for formulating underwater karst treatment plans based on deep learning. The method first integrates multi-source exploration data to construct a refined three-dimensional geological model containing geological, hydrological, and mechanical parameters; then, it constructs a construction disturbance-geological response coupled simulation engine to generate a training dataset; next, it trains a deep generation model of a process sequence generator using a Transformer architecture; subsequently, it generates and verifies the construction process sequence to output an executable plan; finally, it dynamically closes the loop and calibrates the construction process through a sensor network. The system comprises five modules, enabling intelligent plan formulation and dynamic optimization, thereby improving the accuracy and safety of underwater karst treatment.

This invention relates to the field of intelligent identification technology for swine diseases, and discloses a method for identifying and making decisions about swine diseases by integrating body temperature and image features. The method separates the independent basis components of each disease in a mixed infection by performing non-negative matrix decomposition on the body temperature time spectrum. It then uses the Hungarian algorithm to establish a cross-time point correspondence between the basis components, and uses an optimal transmission algorithm to associate lesion instances with the body temperature basis components to generate a feature sequence of disease components. Finally, it uses a time-series perceptual graph neural network to perform independent inference on the symptom evolution time-series graph, outputting the disease type identification confidence and disease stage inference confidence for each pathogen. Based on a multi-pathogen joint decision rule base, it generates a coordinated treatment plan.

An image of a portion of a geographic area is accessed by a farming machine. The image is analyzed by the farming machine to identify a plant in the portion of the geographic area. A treatment plan is determined for the plant by the farming machine based on one or more characteristics of the plant and further based on a set of treatment objectives. The set of treatment objectives including two or more of a plant hindrance objective, a plant reproduction limiting objective, a carbon footprint limiting objective, and a collateral damage limiting objective. An action is performed by the farming machine based on the treatment plan.

The application discloses a kind of dystonia evaluation system and method based on wearable inertial sensor.The system includes: data acquisition module, including wearable inertial sensor and portable muscle strength tester, for the synchronous acquisition of subject's multidimensional motion data and muscle strength data;Data preprocessing module is used to optimize the data collected;Characteristic processing module is used to extract multidimensional features from the processed data, and then complete feature dimension reduction through principal component analysis to obtain a core feature subset;Evaluation model module is based on machine learning algorithm Training evaluation model, the core feature subset is used as model input, to realize the accurate classification of dystonia type;Result output module is used to generate quantitative evaluation report, to provide objective data support for clinical diagnosis and treatment plan formulation.The application solves the problem that traditional evaluation relies on subjective experience and lacks quantitative standard, and improves the accuracy and standardization of dystonia evaluation.

System and procedure for generating and verifying a radiotherapy plan. The patient is imaged on the carrier platform to obtain target tissue images, and the treatment plan fields, including the proposed treatment angles, are determined based on these target tissue images. A first collision detection simulation is applied to determine the feasibility of the proposed treatment angles, using an initial set of simulation fields, including the proposed treatment angles. The treatment plan is generated based on this first collision detection simulation. A second collision detection simulation is applied to verify that no collisions occur in the motion paths between treatment angles of successive treatment plan fields, using a second set of simulation fields, including the generated treatment plan.For each detected collision, fields in the treatment plan are updated to avoid collisions in the motion paths between the treatment angles, and an updated second collision detection simulation is applied using the updated second set of simulation fields, including updated fields in the treatment plan. The treatment plan is released if no collision is detected during the second collision detection simulation.

This utility model relates to the field of waste disposal loader technology and discloses a waste disposal loader with a waste liquid collection mechanism. It includes a drive unit, a collection assembly comprising multiple collection holes disposed on the inner wall of the bucket, each collection hole having a valve plate inside; a through groove disposed inside the bucket, with an electromagnet and a scraper disposed on the inner wall of the through groove, and a magnetic plate disposed on one side of the scraper; a collection box disposed on one side of the drive unit, a pump body disposed on the top of the collection box, a delivery pipe disposed at one end of the pump body; an annular groove disposed inside the collection box, a turntable disposed inside the annular groove, and multiple positioning holes disposed on the top of the turntable, each positioning hole containing a sample frame. This utility model effectively separates and collects internal waste liquid during waste collection, avoiding secondary pollution of the environment. Simultaneously, through a sample pre-retention mechanism, the waste liquid can be analyzed in advance, optimizing the treatment plan, facilitating subsequent processing operations, and improving the overall safety and efficiency of the operation.

The application discloses a skin disease diagnosis and treatment scheme generation method and a generation system. The generation method comprises the following steps: acquiring a plurality of skin lesion images and medical record text content of a patient; determining the overall skin lesion condition and pathogenesis of the patient based on the acquired plurality of skin lesion images and in combination with a skin disease representation model, wherein the skin disease representation model is constructed based on a general multi-modal large model; determining the diagnosis condition and treatment scheme of the skin disease based on the acquired plurality of skin lesion images and medical record text content, the determined overall skin lesion condition and pathogenesis, and in combination with a skin disease reasoning model, so as to generate the diagnosis and treatment scheme of the skin disease, wherein the skin disease reasoning model is constructed based on the skin disease representation model. In this way, the diagnosis and treatment process of the skin disease is simplified, and the diagnosis and treatment efficiency is improved.

This application provides a method and system for controlling an orthopedic device, as well as the orthopedic device and storage medium, applicable to scenarios of intelligent control of medical devices and spinal biological analysis. The method includes: collecting current anatomical structure data, current biological pressure data, and current soft tissue lesion data of the target object's spine; extracting spinal disease features from the current anatomical structure data, current biological pressure data, and current soft tissue lesion data to obtain current spinal lesion features; constructing an orthopedic plan based on the current spinal lesion features and a preset spinal treatment plan to obtain a preliminary orthopedic plan; generating preliminary control instructions based on the preliminary orthopedic plan and preset control instructions for the orthopedic device; and controlling the orthopedic device according to the preliminary control instructions. This application embodiment can automate the control of the orthopedic device, improve the accuracy of orthopedic device control, and save manpower.

The invention provides a living single cell multi-modal in-situ detection analysis method and a treatment scheme evaluation optimization method, and relates to the technical field of precision medical treatment, and the method comprises the following steps: obtaining multi-modal data of a living single cell to be detected in situ; the multi-modal data comprises at least two of the following data: electrical impedance data of a living single cell to be detected under a plurality of frequencies, Raman spectrum data of the living single cell to be detected, and image data of the living single cell to be detected; the frequency is the frequency of an alternating current signal applied to the cell through the electrode; extracting multi-modal dynamic characteristics of the living single cell to be detected from the multi-modal data by adopting a combined modal data analysis method; wherein the combined modal data analysis method comprises a cell electrophysiological analysis method, a cell multi-molecular spectroscopy analysis method and a cell image analysis method. Therefore, the multi-modal dynamic measurement method is utilized to obtain multiple groups of dynamic characteristic information of the cells, and accurate treatment effect evaluation and process optimization can be realized.

The application provides a kind of proton therapy system and its use method, the proton therapy system includes: treatment planning module, for generating irradiation data according to input treatment planning data;Beam control module, for generating the control parameter of accelerator module according to irradiation data and preset compensation data;Accelerator module, for generating proton beam current in response to control parameter;Measurement module, for measuring the actual current parameter of proton beam current;Treatment head, set in the path of proton beam current to target treatment location, to control the on-off of proton beam current path;Wherein, beam control module is also used to compare actual current parameter with target current parameter in irradiation data, and update compensation data based on comparison result, until the actual current parameter of proton beam current and target current parameter are the same according to updated compensation data.The application can enhance the treatment effect by determining the accuracy of dosimetric parameters through pre-checking process.

The present invention discloses a system and method for managing treatment plans and clinical documentation for substance use disorder (SUD) treatment. The system includes user devices associated with clients, clinicians, organization representatives, and supervisors. The system connects to a database storing client data, clinician data, assessment scores, and clinical documentation such as SOAP notes and progress notes. A computing device with artificial intelligence (AI) modules executes various program modules. A data collection module guides clinicians through predefined questions to gather information for generating SOAP and clinical progress notes. A secondary data collection module collects clarification from the counselor without requiring client input. A review module allows counselors to review, edit, approve, and submit documentation. A treatment plan generation module creates or updates plans based on collected data and prior scores. The system improves documentation efficiency, quality, and compliance, while supporting accurate and personalized treatment planning.