8 results about "Treatment phases" patented technology

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 embodiment of the present application relates to the field of radiotherapy equipment, and discloses a target area real-time tracking method, electronic equipment, system and storage medium, comprising: using a current prediction model and respiratory phase change, tracking a target area in real time by controlling the synchronous movement of a main mechanical arm and an auxiliary mechanical arm, the prediction model is used to represent the corresponding relationship between the respiratory phase and the target area movement information, and the target area movement information includes six degrees of freedom information;According to a preset frequency, a single projection image is obtained;Using the single projection image, a monitoring value of the target area movement information is obtained;Matching the monitoring value with the predicted value of the target area movement information at the same respiratory phase in the prediction model;In the case of inconsistent matching, a prediction model is re-established.The method solves the problem of improving the accuracy of real-time tracking of the target area, and dynamically corrects the prediction model according to the monitoring information in the treatment stage of real-time tracking of the target area, so as to improve the effect of tracking accuracy of the target area.

The present invention discloses a clinical data analysis method and system for hematological tumor patients based on knowledge graphs, which relates to the field of medical information processing technology. The present invention utilizes a natural language processing model to parse unstructured text and construct a standardized entity set. Laboratory indicators are aggregated through dynamic windows to construct a timeline data set annotated with treatment stages. Standardized entities are integrated based on a hematological tumor ontology model, and a dynamic global knowledge graph is constructed in combination with clinical causal relationships and temporal paths to achieve chain reaction warnings. Based on real-time patient subgraphs, successful cases with the same molecular characteristics are retrieved in the knowledge graph to generate a set of candidate treatment plans, and a graph neural network trained with an optimized algorithm is used to predict the risk of complications of each plan, and finally the optimal treatment plan is evaluated and selected. The present invention breaks through the barriers of clinical data, realizes dynamic reasoning, advanced risk warning and personalized plan optimization throughout the treatment cycle, and significantly improves the accuracy, safety and efficiency of medical resource utilization in diagnosis and treatment.

The application discloses an intelligent anus fistula analysis system and method based on artificial intelligence, and belongs to the technical field of intelligent anus fistula analysis, and comprises a multi-source data collection unit, a data preprocessing unit, a segmentation processing module, a local lesion feature enhancement unit, a multi-modal feature extraction unit, a time-frequency joint processing unit, a phased feature optimization unit and an efficacy evaluation unit.The application can comprehensively depict anus fistula lesion healing characteristics, and improve the objectivity and comprehensiveness of efficacy evaluation.The application can accurately separate and respectively depict long-term healing trend and short-term local stress fluctuation of the lesion, so that the efficacy evaluation is more in line with the real clinical course law.The application introduces a phased feature optimization mechanism in combination with the whole cycle treatment stage of the anus fistula, can perform fine quantitative evaluation at different treatment stages, and realizes phased efficacy analysis on patients.

The present disclosure concerns the development of personalised periodontitis score to assess the individual level of microbial imbalances in periodontal pockets and / or saliva of a specific individual at a defined stage of treatment, relative to a predicted expected score for the average patient with similar systemic and local medical characteristics and demographic profile. The microbial profile obtained from genetic / genomic information is combined with clinical and demographical information in a mixed-effect model to obtain a predicted value and a standard error for a given set of clinical parameters. The comparison between this predicted average score and the individual patient personalised periodontitis score informs about the relative periodontal disease activity in this site and / or patient and thus allows for the stratification of the local site and / or the patient into risk categories and for the recommendation of targeted patient-specific treatment modalities.

The invention discloses a digital management method for improving family resilience of an oral cancer patient, and relates to the technical field of medical health management and digital intervention. According to the method, a four-order mathematical formula model of a single-dimensional score, a dynamic weight, a comprehensive index and an intervention gain is constructed, and influence factors and an intervention effect of the family resilience are quantified; according to the method, family shortages in different treatment stages are identified through a dynamic weight adjustment formula, a targeted scheme is generated, homogenization intervention is avoided, and the R value is averagely increased by 18.6 points after medium and low restoring force family intervention; according to the invention, an APP, intelligent hardware and a hospital system are integrated, automatic data acquisition and real-time formula calculation are realized, the management efficiency is improved by 60%, and manual operation errors are reduced; according to the method, formula parameters can be finely adjusted through localized data (for example, alpha E of the E dimension is adjusted according to economic level differences of different regions), the requirements of different medical institutions are met, and the platform is easy to operate and can be quickly mastered by families and doctors.

The application discloses a kind of long-term treatment strategy making methods for cervical cancer prevention and treatment of HPV, belong to medical information processing technical field.The method includes: obtaining the digital HPV health record containing multiple HPV typing detection results, cervical cytology history record and individual physiological characteristic parameters;Three-dimensional treatment situation cube is constructed by virus infection state subspace, cervical tissue state subspace and treatment intervention state subspace;In the cube, state backtracking and forward-looking deduction algorithm based on time axis are used, virus clearance probability field and lesion outcome probability field are calculated;High-risk persistent infection space-time region and low-risk self-healing tendency space-time region are demarcated;Current patient state is projected to the cube, if fall into high-risk region, then trigger long-term treatment strategy generation process including multiple treatment stages, output intervention opportunity, intensity and state transition condition of each stage.

This application relates to the field of data processing technology, and discloses a planning and evaluation system, computer equipment, and storage medium for traditional Chinese medicine (TCM) diagnosis and treatment. The system includes: a data acquisition module for acquiring multimodal monitoring data of the target subject during the current treatment phase; an effect prediction module for performing effect simulation and prediction based on the multimodal monitoring data and the target subject's current intervention plan to obtain adjustment results; and a feedback evaluation module for simulating and evaluating the current intervention plan based on the adjustment results to obtain feedback evaluation results. The feedback evaluation results provide quantitative references for treatment adjustments to the decision-making end, enabling the generation of subsequent intervention plans for the target subject in the next treatment phase. These three modules work together to constitute a planning and evaluation system for TCM diagnosis and treatment, providing physicians with real-time decision support and significantly improving the accuracy and adaptability of subsequent intervention plans.