43 results about "Initial treatment" patented technology

The invention relates to the technical field of medical artificial intelligence, and discloses a non-small cell lung cancer immunotherapy risk assessment method and system and a storage medium, and the method comprises the steps: constructing an optimal strategy tree model capable of dividing a patient into a plurality of subgroups based on a historical patient data set, and determining an initial optimal treatment strategy for each subgroup; determining a subgroup to which a new patient belongs and an initial treatment strategy thereof according to the model; in the treatment process, the deviation degree between the individual response trajectory of the patient and the average response trajectory of the subgroup to which the individual response trajectory belongs is calculated; and when the deviation degree exceeds a preset threshold value of the subgroup, triggering an adaptive adjustment mechanism, and outputting an updated treatment suggestion. By establishing a dynamic monitoring and closed-loop feedback mechanism based on the subgroup benchmark, the technical problem that an existing scheme is difficult to carry out prospective identification and dynamic intervention on individualized risks is solved, so that the accuracy, safety and individualized level of non-small cell lung cancer immunotherapy are improved.

Optimized bio-synchronous drug delivery begins with establishing a bio-synchronous treatment protocol that incorporates individual temporal and innate biological characteristics into a pharmacological treatment plan. The bio-synchronous treatment protocol is thereafter initiated using bioactive agent delivery device. Bio-synchronous drug delivery includes continual collection of patient data such as physical, psychological, temporal and environmental characteristics. This data is analyzed so to not only determine an initial treatment protocol but to also determining whether modification to the ongoing bio-synchronous treatment protocol is required. And, responsive to determining a modification is required the system modifies the bio-synchronous treatment protocol and use of delivery device. These modifications and treatment protocols can include reactive and proactive psychological support supplied to the patient in a variety of formats.

The invention discloses a nerve regulation and control treatment method, system and device and a medium, and the method comprises the steps: designing a nerve regulation and control investigation and inquiry template, evaluating the nerve state of a patient, and generating an evaluation report; carrying out sound treatment technology applicability screening on the patient; selecting a plurality of sections of universal biological natural sound noise, providing the universal biological natural sound noise to the patient passing the applicability screening of the sound treatment technology for audition, and selecting the universal biological natural sound noise with a relatively high adaptability threshold as an initial nerve regulation treatment audio; carrying out hearing test, generating debugging parameters, debugging the initial treatment audio, and generating recommended nerve regulation treatment audio; and performing nerve regulation treatment on the patient based on the recommended nerve regulation treatment audio, and checking the treatment effect. According to the invention, a series of hearing tests are carried out on the patient, the debugged recommended nerve regulation treatment audio is generated for patients with different symptom types, and the nerve regulation treatment effect is effectively improved.

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.

The present disclosure relates to methods of electroconvulsive therapy (ECT) for a patient's brain based on determining an optimal individualized current amplitude for a patient by (1) dividing an optimal E-field strength (optimal Ebrain) by a baseline E-field strength (baseline Ebrain) of the patient's brain, or (2) performing an initial treatment to determine a patient's amplitude titrated seizure threshold (STa), followed by use of a multiplier value multiplied by the STa for an individualized amplitude for subsequent treatments. Methods of ECT using optimal individualized current amplitude provide an antidepressant effect and reduce adverse cognitive effects on the patient's brain.

This invention discloses a method for predicting the dynamic conductivity of biological tissues considering the pulse dispersion effect. The method includes: constructing a two-dimensional dual-needle electrode geometric finite element model, setting boundary conditions and initial treatment parameters; introducing a Debye function into the finite element model to characterize the change of tissue dielectric constant with frequency; performing frequency domain analysis on the applied pulse signal and converting the Debye function from the frequency domain to the time domain, allowing the polarization vector to couple with the electric field to participate in transient solutions, thereby obtaining a voltage and current dataset including the effect of pulse dispersion; constructing a tissue dynamic conductivity prediction model and training the prediction model using the voltage and current dataset; inputting the voltage and current response data of the tissue to be determined into the trained model to obtain the tissue dynamic conductivity prediction result. This invention can improve the consistency between the finite element current calculation results and the actual tissue electrical response, and improve the accuracy of tissue dynamic conductivity prediction. It is applicable to dynamic conductivity prediction in electroporation therapy, providing a reference for electroporation therapy.

The present disclosure relates to a dental arch arrangement method, device, equipment and storage medium. An initial treatment dental arch model of a target user is obtained, wherein the initial treatment dental arch model is a dental arch model obtained after single jaw arrangement of the oral cavity of the target user; for each tooth on the upper jaw or the lower jaw of the initial treatment dental arch model, a transformation matrix of each tooth relative to the corresponding initial dental arch is determined; the transformation matrix corresponding to each tooth is kept unchanged, and each tooth is controlled to be arranged on the dental arch to form a target treatment dental arch model containing a target dental arch, wherein the target treatment dental arch model is a dental arch model whose occlusal relationship of the upper jaw and the lower jaw meets a preset treatment standard. Therefore, the transformation matrix of each tooth on the initial treatment dental arch model relative to the corresponding initial dental arch is kept unchanged, and each tooth is arranged on the corresponding dental arch, so that the occlusal relationship of the upper jaw and the lower jaw is adjusted to the preset treatment standard, and finally a dental arch model meeting the preset treatment standard is obtained.

The application discloses a medicine patch with gradient effect on human body, which comprises, from outside to inside, a back layer, a heating layer and a solid medicine layer, wherein the solid medicine layer is provided with solid medicine A; and further comprises a medicine liquid cavity for sealing liquid medicine B; when used, the medicine patch is attached to the human body for a set time, the medicine liquid cavity can be opened and the liquid medicine B can flow into the solid medicine layer; the solid medicine A can preliminarily treat related diseases under the action of heating, and the liquid medicine B is added in a progressive manner after the set time; the medicine patch has the gradient treatment requirement and the treatment effect, and can further drive the residual effect of the solid medicine B to continuously act on the affected area, improve the utilization rate of the medicine, and make the treatment medicine more targeted; thus, the traditional inertial thinking of the medicine patch is changed, interval medicine for treatment is made possible, the medicine effect is improved, and the foundation for the final treatment effect is laid.

The invention discloses ultrasonic treatment equipment for spinal cord injury repair, and relates to the technical field of medical equipment, parameters corresponding to an initial treatment scheme are preset in a central control subsystem, and an ultrasonic treatment subsystem performs treatment according to the parameters corresponding to the initial treatment scheme given by the central control subsystem at the beginning; the physiological status monitoring subsystem is used for collecting process data of a monitored object and then sending the process data and parameters corresponding to an initial treatment scheme to the intelligent regulation and control subsystem through the central control subsystem; the intelligent regulation and control subsystem carries out parameter prediction through a preset parameter regulation and control model, and the central control subsystem carries out parameter adjustment of the ultrasonic treatment subsystem based on predicted parameters. The invention provides ultrasonic treatment equipment which has multiple treatment modes, can intelligently regulate and control ultrasonic parameters and can monitor the physiological state of spinal cord tissues in real time.

The invention relates to a composition for tumor local injection, a medical and mechanical combined product and application of the composition in preparation of a medicine for tumor local injection administration. The composition comprises an antitumor drug component, an immunologic adjuvant and a drug carrier. By means of the jet flow microneedle delivery device which is specially designed, tumor local drug delivery of anti-tumor drugs can be achieved, and the problem that the maximum drug dosage and the treatment effect are limited due to system toxicity in traditional intravenous drug delivery is solved. The high-concentration local administration of the composition provided by the invention not only improves the local treatment effect of tumors, but also can effectively generate tumor antigens. The tumor antigen generated in situ can be matched with an immunologic adjuvant in the composition to generate tumor specific immune cells on the premise that the immune system of a patient is not damaged due to the toxicity of a drug system, so that the immune response of the local part and the whole body of the patient to tumors is improved. Besides, in the subsequent treatment course after the initial treatment, only the composition of the immunologic adjuvant and the tumor specific polypeptide or the immunologic adjuvant can be given to maintain and enhance the established tumor specific immune response, and accumulated toxicity caused by repeated use of chemotherapeutic drugs is avoided.

The invention discloses an electromagnetic interference-free ultrashort wave intelligent physiotherapy self-adaptive regulation and control system based on biofeedback, and belongs to the technical field of medical physiotherapy. The system solves the problems that an existing system cannot carry out real-time adjustment according to the physiological reaction of a patient individual, and treatment parameters are difficult to accurately regulate and control, and auxiliary features are generated by obtaining the individual features and real-time physiological data of the patient and combining context features; predicting probability distribution of tissue reaction by using a neural network model, calculating a confidence interval of the probability distribution, and automatically generating an initial treatment mode by comparing the confidence interval with a threshold value; the treatment effect is simulated, and possible complications and adverse reactions are predicted; evaluating curative effects and risks under different treatment parameter combinations by combining a Pareto frontier map, and automatically generating an optimal treatment parameter combination; treatment parameters are adjusted in time according to the real-time response of the patient, and the dynamic adaptability of the treatment process is ensured, so that personalized treatment is realized, and the treatment effect and the patient satisfaction are improved.

The application provides a magnetron filament demotion method and device, computer equipment and a storage medium, relates to the technical field of medical instrument control, and determines an initial treatment plan based on a single pulse dose by acquiring treatment demand information and calibration parameters of a magnetron, and further predicts the magnetron input average power corresponding to each treatment stage, determines a filament demotion scheme on this basis, and performs cyclic iteration on the initial treatment plan in combination with a demotion stability index, so as to obtain a target demotion scheme and a target treatment plan. Therefore, the filament demotion strategy matched with each treatment stage can be determined in advance before radiotherapy starts, the hysteresis caused by the demotion control based on the current state or the state at the last moment in the prior art is reduced, the filament demotion is better adapted to the dynamically changing treatment plan, the stability of the magnetron operation is improved, and the service life of the magnetron is prolonged.

The application provides a radiotherapy device for angle adjustment between treatment fractions in multi-fraction radiotherapy, comprising: an angle selection unit for performing irradiation angle selection of an initial treatment fraction; an angle adjustment unit for performing angle adjustment in a subsequent treatment fraction based on the irradiation angle of the initial treatment fraction; and a monitoring adjustment unit for performing dose accumulation, monitoring and adjustment based on the irradiation angle of the initial treatment fraction and the adjusted angle in the subsequent treatment fraction.

The invention relates to a treatment plan determination method, device and system. The method comprises the following steps: acquiring an initial scanning image for a scanning object; determining an initial target region sketching result and an initial treatment plan for the region of interest based on the initial scanning image; comparing the image complexity of the current scanning image of the region of interest with a degree threshold; when it is determined that the image complexity of the current scanning image is smaller than a preset degree threshold value, the initial target region delineation result and the initial treatment plan serve as a target target region delineation result and a target treatment plan; or, when it is determined that the image complexity of the current scanning image is larger than or equal to the degree threshold value, the modification of the initial target region sketching result is determined, and the target constraint is adjusted based on the current scanning image according to the modified initial target region sketching result so as to determine the target treatment plan. According to the invention, while the treatment effect is ensured, the time spent in the radiotherapy process is effectively shortened.

The application discloses a kind of risk factors prediction model of occurrence of initial treatment bacterium positive pulmonary tuberculosis lung cavity, belong to medical data processing technical field, the clinical data of initial treatment bacterium positive pulmonary tuberculosis patient is collected in the application, using single factor analysis, Lasso regression analysis and multivariate Logistic regression analysis, male, diabetes, smoking, white blood cell count and platelet / hemoglobin ratio are screened as the independent risk factors of initial treatment bacterium positive pulmonary tuberculosis causing lung cavity, and based on this, nomogram prediction model is constructed.H-L goodness-of-fit test, receiver operating characteristic curve and decision curve analysis are verified, the model has higher prediction efficiency and clinical practical value.The application can help clinical advance to predict and intervene the cavity caused by high-risk population of pulmonary tuberculosis, provide new ideas for the diagnosis and treatment of bacterium positive pulmonary tuberculosis causing cavity.

The disclosure includes the identification and use of gene expression profiles, or patterns, with clinical relevance to extended treatment and cancer-free survival in a patient. In particular, the disclosure includes the identities of genes that are expressed in correlation with benefit in a switch in endocrine therapy used to treat a patient. The levels of gene expression are disclosed as a molecular index for predicting clinical outcome, and so prognosis, for the patient. The disclosure further includes methods for predicting cancer recurrence, and / or predicting occurrence of metastatic cancer, after initial treatment with an anti-estrogen agent. The disclosure further includes methods for determining or selecting the treatment of a subject based upon the likelihood of life expectancy, cancer recurrence, and / or cancer metastasis.

The embodiment of the invention discloses a pulsed magnetic field regulation and control method and system for pelvic floor dysfunction. According to the technical scheme provided by the embodiment of the invention, personalized initial scheme matching based on clinical typing, closed-loop regulation and control based on real-time biological feedback signals and a cross-course treatment scheme adaptive adjustment mechanism are introduced; the pulse magnetic field treatment can dynamically respond to the real-time physiological state of the current treatment target and can be continuously optimized according to the long-term curative effect, so that the conversion from static presetting to dynamic precise adaptation is realized, the individualized flexibility, accuracy and long-term curative effect stability of the treatment are improved, and the treatment efficiency is improved. And the clinical requirements on efficient, accurate and personalized rehabilitation treatment of pelvic floor dysfunction are met.

To provide an invasive high-frequency treatment device.SOLUTION: The invasive high-frequency treatment device includes: multiple micro needles including a first micro needle and a second micro needle; an elevation unit configured to raise the micro needles; and a control circuit configured to control the elevation unit. The control circuit determines an operation zero point of the elevation unit corresponding to the multiple micro needles in an initialization stage of the invasive high-frequency treatment device, and controls the elevation unit to rise at a predetermined height from the operation zero point in an operation stage of the invasive high-frequency treatment device. Accordingly, it is possible to make consistent a location of the micro needles prior to an operation regardless of conditions for a design, an assembly, and use.SELECTED DRAWING: Figure 6

The application relates to a multi-modal rehabilitation robot intelligent control method, device, equipment and medium, which is applied to the technical field of intelligent instruments, and the method comprises the following steps: acquiring the disease type, disease stage and hand physiological and motion basic data of a target patient; collecting physiological data of the target patient in a rehabilitation process in real time based on a multi-modal sensor; determining a target rehabilitation scheme and initial rehabilitation parameters based on the disease type and the disease stage; controlling a robot main body 1 to perform rehabilitation training based on the target rehabilitation scheme and the initial treatment parameters, generating rehabilitation effects and robot running states; performing real-time analysis on the rehabilitation effects based on a preset curative effect prediction model, dynamically adjusting the initial rehabilitation parameters according to an analysis result, and generating adaptive rehabilitation parameters; performing safety monitoring on the rehabilitation parameters and the robot running states in a whole rehabilitation process, and triggering an abnormality early warning and emergency stop mechanism based on a monitoring result. The application has the effect that the hand can be efficiently and safely rehabilitated comprehensively.

The application provides an AI treatment decision system for liver cirrhosis acute variceal hemorrhage, relates to the technical field of treatment decision, extracts a transient characteristic indicator of blood flow pressure from a pressure fluctuation signal, predicts a transient pressure peak of the portal vein blood flow during acute variceal hemorrhage through the transient characteristic indicator and a blood flow dynamic model, predicts a quasi-steady pressure field of the portal vein blood flow during acute variceal hemorrhage according to the gradient distribution of the portal vein blood flow pressure and an initial treatment strategy of acute variceal hemorrhage, performs multi-scale coupling on the transient pressure peak and the quasi-steady pressure field to obtain a coupling characteristic of the portal vein blood flow, and then uses the coupling characteristic of the blood flow pressure to perform hierarchical coupling adjustment on the treatment strategy of liver cirrhosis acute variceal hemorrhage. Based on the above scheme, hierarchical coupling of the treatment strategy of liver cirrhosis acute variceal hemorrhage can be realized, so that the prediction accuracy of the portal vein blood flow pressure during acute variceal hemorrhage can be improved.

A method for updating a treatment plan. The treatment plan is associated with a user using a treatment apparatus to perform the treatment plan. The method includes receiving first data associated with a first diagnosis of the user. The method includes generating, based on the first data, an initial treatment plan to be performed on the treatment apparatus by the user. The method includes receiving second data associated with a first attribute of the user. The method includes generating, via an artificial intelligence engine, a machine learning model trained to generate an updated treatment plan based on the initial treatment plan and the second data.

Non-responsiveness assessment in IBD patients The present invention relates to an in vitro method for predicting the response of patients with inflammatory bowel disease (IBD) to treatment with intracellular immunosuppressants. In this method, samples are collected from IBD patients in the early stages of treatment with an immunosuppressant of interest, and these samples contain effector mononuclear cells. Responsiveness is predicted based on the difference between the activity level of the multidrug-resistant ABC transporter and the activity level of the reference transporter in effector mononuclear cells in the sample. This method is useful in the treatment of IBD and can be used, for example, to monitor disease progression or to determine whether to switch from the initial treatment to another medication (e.g., csDMARD or tsDMARD).

The invention relates to a physical engine and data dual-driven trusted medical AI decision-making method, which comprises the following steps: S1, acquiring multi-source data containing doctor questions and patient medical information, and carrying out integrated analysis on the multi-source data based on an external authoritative knowledge base to obtain a preliminary treatment hypothesis; s2, calling a physical engine, and constructing a digital twinborn model based on individualized data in the patient medical information; based on the preliminary treatment hypothesis, simulating the digital twinborn model according to a physical law, and generating a feedback result; and S3, if the feedback result does not reach the ideal effect, updating the preliminary treatment hypothesis, and returning to S2 until the feedback result reaches the ideal effect, and taking the corresponding preliminary treatment hypothesis as a treatment scheme. According to the method, through a brand new data-physics driven normal form, a systematic and extensible solution is provided for safety landing of a large model in the medical high-risk field, and the method has important practical value in a high-risk clinical AI application scene.

The system according to this embodiment aims to centrally manage children's health data and enable quick consultation with medical professionals. [Solution] The system according to this embodiment comprises a reception unit, an advice unit, a scheduling unit, a management unit, and a visualization unit. The reception unit receives input of the patient's condition. The advice unit analyzes the information received by the reception unit and provides advice on possible diagnoses and initial responses. The scheduling unit schedules online consultations with doctors based on the advice provided by the advice unit. The management unit centrally manages digitized health records of children. The visualization unit visualizes the information managed by the management unit.

The invention relates to the technical field of medical artificial intelligence and acupuncture treatment, and discloses an acupuncture treatment scheme optimization method based on medical artificial intelligence. According to the method, multi-dimensional physiological status indexes are analyzed and generated by collecting electronic medical records of patients and wearable equipment data, and a preliminary treatment prescription is generated by fusing acupuncture literature data. And analyzing an acupuncture point and parameter combination mode in the prescription by using a deep learning model, quantitatively evaluating contribution degrees of all elements, and optimizing and generating a final prescription in combination with historical treatment data of a patient. In clinical treatment, real-time feedback data are continuously collected, the corresponding relation between treatment parameters and symptom improvement is established, stimulation parameters are dynamically adjusted according to the corresponding relation, and closed-loop optimization is formed. According to the invention, quantitative intelligent optimization of the acupuncture treatment scheme and personalized dynamic fine adjustment in the treatment process are realized.

The invention provides an auxiliary intelligent chip for nursing of a pci postoperative patient, and relates to the technical field of postoperative nursing assistance, and the intelligent chip comprises a data acquisition module which obtains historical rehabilitation information of a target user, and predicts and obtains a prediction state data sequence; the scheme generation module enumerates and generates a plurality of initial treatment schemes; the risk prediction module constructs a risk prediction channel based on machine learning, performs thrombus risk prediction and bleeding risk prediction in the stent, and outputs a plurality of risk prediction results; the risk evaluation module constructs a risk evaluation function, carries out comprehensive risk evaluation on a plurality of risk prediction results, and selects an initial treatment scheme with a minimum comprehensive risk coefficient as an optimal treatment scheme; and the decision pushing module takes the optimal treatment scheme as a nursing decision suggestion and sends the nursing decision suggestion to the target user for personalized auxiliary nursing. The technical problems that in the prior art, pci postoperative patient nursing scheme recommendation is unreasonable, and scheme adaptability is poor are solved.

A laser surgical method for performing a corneal incision while maintaining iris exposure below a predetermined exposure limit includes: determining an initial iris exposure based on an initial treatment scan, determining whether the initial iris exposure is less than the predetermined exposure limit, generating a revised treatment scan comprising one or more treatment scan modifying elements when the initial iris exposure is greater than the predetermined exposure limit, and scanning the focal zone of a pulsed laser beam according to the revised treatment scan, thereby performing the corneal incision, wherein the one or more treatment scan modifying elements causes the iris exposure to be smaller than the predetermined exposure limit.

The present application belongs to the technical field of intelligent medical treatment, and particularly relates to a RAS, BRAF gene wild type colorectal cancer liver metastasis patient curative effect prediction model based on image group characteristics and application thereof. The present application successfully constructs a model for realizing curative effect prediction of RAS, BRAF gene wild type colorectal cancer liver metastasis patients receiving bevacizumab combined with chemotherapy treatment in the late first line based on CT image group characteristics before treatment: the enhanced CT image group data before initial treatment of patients with advanced colorectal cancer liver metastasis at the time of initial diagnosis is collected, 7 image group characteristics are obtained by using 1000 times Lasso-Logistic analysis, and an image group prediction model is constructed by using a multi-factor logistic regression method. The model constructed by the present application has important clinical application and popularization value from the clinical actual problem.

The invention relates to a cerebral apoplexy treatment time window prolonging agent, application of the cerebral apoplexy treatment time window prolonging agent and a cerebral apoplexy thrombolysis kit, and the cerebral apoplexy treatment time window prolonging agent comprises a protein PAI-1 targeting inhibitor, the compound is used for being specifically combined with a plasminogen activator inhibitor PAI-1 released by activated platelets in a cerebral apoplexy thrombus area so as to inhibit the fibrinolytic inhibitory activity of the PAI-1. The invention has the beneficial effects that endogenous fibrinolysis is activated in a safe and effective way, the sharp contradiction between timeliness and safety in the prior art is directly solved, and the medicine is expected to be used as a safe early intervention medicine and provides new treatment possibility for a large number of patients who miss initial treatment opportunities. By means of the exquisite unlocking mechanism, the cerebral apoplexy treatment time window is delayed to 6 h, and precious time is gained for cerebral apoplexy treatment subsequently.

The disclosure relates to a system and method for adapt a treatment plan. The method may include: obtaining an initial treatment plan of a region of interest, wherein the initial treatment plan includes a first initial treatment fraction and a second initial treatment fraction; causing a radiation treatment device to deliver the first initial treatment fraction; obtaining a treatment record related to the first initial treatment fraction; and generating an updated second treatment fraction based on the second initial treatment fraction and the treatment record.