68 results about "Initial treatment" patented technology

The invention discloses a doctor-patient negotiation method and device fusing LLM and a multi-agent architecture, equipment and a medium, and relates to the technical field of doctor-patient negotiation. The doctor-patient negotiation method comprises the following steps: acquiring doctor-patient background information, and constructing a doctor agent, a patient agent and a coordination agent based on a large language model. The doctor agent generates a preliminary treatment regimen. The patient agent generates feedback to the preliminary treatment regimen. The coordination agent parses the feedback, generating a structured acceptance score and a semantic vector. The dynamic belief is updated based on the semantic vector doctor agent. And performing fuzzy utility evaluation on the current treatment scheme, and judging whether strategy adjustment is triggered or not. And the coordination agent calculates the adjustment amount of each issue based on the acceptance difference value, the patient yielding willingness coefficient and the maximum yielding amplitude, and obtains a new quotation scheme. And triggering a belief calibration and strategy reconstruction process at a preset stage node of multiple rounds of negotiation to obtain a new strategy. And when the negotiation round reaches a preset maximum round number, outputting a final treatment scheme.

The invention relates to the technical field of clinical experiment data processing, and discloses a clinical experiment data analysis method based on reinforcement learning, and the method comprises the steps: obtaining time sequence physiological parameters and treatment scheme execution state parameters; performing hierarchical feature extraction on the time sequence physiological parameters, constructing a dynamic response feature model, and generating an initial treatment response evaluation model in combination with the execution state parameters; loading risk constraints and curative effect indexes to generate a comprehensive evaluation model, and simulating to obtain strategy regulation and control data; constructing and training a reinforcement learning decision model, and generating a treatment path correction model and initial treatment parameters; obtaining dynamic strategy adjustment information, and constructing a multi-stage optimization model for iterative optimization to obtain optimal treatment path parameters; reasoning a curative effect standard reaching probability based on a real-time model, and adjusting a strategy to realize dynamic curative effect matching. According to the method, the clinical data dynamic analysis and treatment scheme optimization capability is improved, and the method is suitable for precise medical scenes.

The embodiment of the invention discloses a spinal metastatic tumor treatment scheme generation system. According to one specific embodiment, the system comprises a data processing server, an information fusion server and a scheme generation server which are in communication connection with one another, and the data processing server is used for preprocessing multi-source patient data to obtain standard multi-source patient data; the information fusion server is used for executing the following steps: performing feature code fusion on standard multi-source patient data to obtain a multi-source patient feature vector; performing feature enhancement on the multi-source patient feature vector to obtain a joint patient characterization vector; generating an initial therapeutic schedule result based on the joint patient characterization vector; and the scheme generation server is used for performing feature decision processing on the initial treatment scheme result to obtain a final treatment report. According to the embodiment, waste of computing resources can be reduced, and system response time can be shortened.

The invention relates to an Agent AI-based full-process intelligent radiotherapy system and a working method thereof, the system comprises a treatment Agent, a feedback Agent and a QA Agent, the feedback Agent is connected with the treatment Agent, the input of the treatment Agent is multi-modal data, and an initial radiotherapy scheme is dynamically output through deep learning and an evolutionary algorithm; the feedback Agent is connected with the multi-sensor system and used for monitoring user state data of the patient in real time, correspondingly adjusting treatment parameters according to an initial treatment scheme and outputting an optimized treatment scheme; and the QA Agent is used for monitoring key parameters in the treatment process, performing early treatment verification and later quality evaluation, and outputting a quality assurance report. Compared with the prior art, multi-Agent mutual cooperation is designed, multi-modal data are integrated, full-process automation from treatment scheme determination, data acquisition, target region sketching, plan generation, treatment execution to QA is achieved, dependence on manual intervention can be reduced, and treatment individuation and efficiency are improved.

The invention relates to the technical field of oral medical treatment, in particular to a tooth orthodontic treatment scheme planning system, which comprises a database module, a processing module and a planning module, the data acquisition module is used for acquiring initial oral data of a patient before treatment and stage monitoring data in a treatment process; the scheme generation module is used for screening out a complete treatment scheme with the highest similarity in the database through feature similarity matching and generating an initial treatment scheme; the risk assessment module is used for extracting risk factors such as periodontal support force and calculating a risk level; the dynamic adjustment module is used for setting a tooth movement distance deviation threshold value according to the risk level, and comparing an actual tooth movement distance deviation value to generate an adjustment treatment scheme; and the doctor rechecking module is used for the doctor to adjust and recheck the initial treatment scheme and the adjusted treatment scheme according to the individual parameters of the patient. According to the scheme, intelligent planning, dynamic adjustment and scientific review of an orthodontic scheme can be realized, and the treatment accuracy and safety are improved.

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.

The invention relates to the technical field of medical treatment, in particular to a deformation registration method and system, a self-adaptive treatment planning method and a treatment planning system which are used for improving the accuracy of image deformation registration, and the method comprises the steps: obtaining a plan image, a fractional image and dose distribution data corresponding to an initial treatment plan of a patient; inputting the plan image, the graded image and the dose distribution data corresponding to the initial treatment plan of the patient into a trained deformation registration model, performing deformation registration on the graded image and the plan image, and outputting a deformation field; wherein the trained deformation registration model is obtained based on dose distribution consistency loss training between dose distribution data corresponding to the initial treatment plan and deformation dose distribution data corresponding to the deformation field.

A method of treating psoriatic arthritis in a patient by administering an IL-23 specific antibody, e.g., guselkumab, in a clinically proven safe and clinically proven effective amount and the patient achieves significant ACR20 / 50 / 70, PASI70 / 90 / 100, MDA, HAQ-DI, SF-36 PCS, MCS, LEI / dactylitis, PASDAS, GRACE, mCPDAI, DAPSA or RAPID3 improvement as measured 16, 24, 32, 40 and 48 weeks after initial treatment.

The invention provides a simulation evaluation method based on focused ultrasound and electronic equipment, and relates to the technical field of computers. The method comprises the following steps: generating a three-dimensional part model and initial treatment parameters corresponding to a target part according to medical image data of the target part; based on the three-dimensional part model and the initial treatment parameters, transmitting a simulation ultrasonic pulse to a three-dimensional focus model corresponding to the target tissue in the three-dimensional part model; according to the method, the acoustic parameters and the thermal parameters of the preset sampling points in the three-dimensional part model are obtained, the evaluation item for the target tissue is calculated according to the acoustic parameters and the thermal parameters, and the evaluation result is generated according to the evaluation item, so that the three-dimensional part model can be constructed by considering the acoustic characteristics and the thermal characteristics corresponding to the target part, and the evaluation result is generated according to the three-dimensional part model. If the evaluation result indicates that the treatment effect corresponding to the simulation treatment operation is poor, the training medical staff can adjust the treatment scheme so as to optimize the treatment effect, summarize the treatment experience and improve the training effect.

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.

Examples disclosed herein provide computer-implemented methods and apparatus of determining a treatment for treating a subject's skin or hair. Such a method comprises: receiving, as input, dermatological data indicative dermatological data indicative of the subject's skin or hair following treatment by an initial treatment, the subject's skin or hair having an associated health condition; processing the dermatological data using an condition determination machine learning model to determine an updated health condition of the subject's skin or hair; determining a modified treatment for treating the updated health condition of the subject's skin or hair in dependence on the determined updated health condition of the subject's skin or hair; and providing, as output, the determined modified treatment.

The utility model provides a moxibustion massager, relates to the moxibustion technical field, including handle portion, roller portion and adjusting ring, the roller portion is rotatingly connected to the front end of handle portion, the inside of roller portion is provided with the fixing structure of fixing moxa cone, the surface of roller portion is provided with the moxibustion hole of temperature dissipation; the adjusting ring is connected to the outer wall of the roller part, and the adjusting ring is provided with a radial length adjusting structure. When the tolerance degree of a patient is not high in the initial treatment stage, the adjusting ring has the large radial length, and large stimulation cannot be caused to the patient. And along with the increase of the treatment time of the patient, the tolerance degree to the temperature stimulation is also increased, so that the adjusting ring can be gradually enabled to have a thinner radial length, and at the moment, no greater stimulation is caused to the patient. Therefore, the distance between the cylinder body and the body surface of a patient can be adjusted in different treatment periods so as to control the temperature, the patient is prevented from endure temperature stimulation in the initial treatment period, and the curative effect is effectively improved.

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 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.

A method for generating and reusing digital setups for an orthodontic treatment path. The method receives a digital 3D model of teeth, optionally performs interproximal reduction on the model, and generates an initial treatment path with stages including an initial, final, and intermediate setups. The method divides the initial treatment path into initial steps of feasible motion of the teeth resulting in a final treatment path with setups corresponding with the initial steps. For a treatment redesign, the method computes new steps of feasible motion for only a portion of the initial treatment path and based upon the initial steps, and generates the final path with new setups corresponding with the new steps. The setups can be used to make orthodontic appliances, such as clear tray aligners.

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.

A target volume of ocular tissue is treated with a laser having a direction of propagation toward the target volume, where the target volume is characterized by a distal extent, a proximal extent, and a lateral extent. A layer of tissue at an initial depth corresponding to the distal extent of the target volume is initially photodisrupted using a femtosecond laser by scanning the laser in multiple directions defining an initial treatment plane. Tissue at one or more subsequent depths between the distal extent of the target volume and the proximal extent of the target volume is subsequently photodisrupted using a femtosecond laser by moving a focus of the laser in a direction opposite the direction of propagation of the laser and then scanning the laser in multiple directions defining a subsequent treatment plane. Photodisruption is repeated at different subsequent depths until tissue at the proximal extent of the target volume is photodisrupted.