6 results about "Treatment evaluation" patented technology

An adaptive radiotherapy system (100) with biophysical real-time monitoring of the tissue response, wherein the system (100) comprises: a module (1) for real-time biophysical tissue response monitoring, configured to acquire live data on the physiological response and tissue response from a treatment area of ​​a patient during irradiation; a module (2) for localizing patient anatomy and motion detection, configured to detect position changes, organ movements and target shifts in real time; an engine (3) for adaptive treatment planning and dose recalculation, configured to dynamically update a radiotherapy treatment plan based on data received from the module (1) for real-time biophysical monitoring of tissue response and from the module (2) for localizing patient anatomy and motion detection; an engine for predictive modeling of tissue response (4) configured to estimate short-term tissue response, tumor response and normal tissue tolerance using patient data from current and previous sessions; an interface for controlling and modulating the beam (5) which is functionally coupled to a radiation delivery device and configured to modify one or more beam parameters in real time; a safety check and treatment lock control (6) configured to compare current treatment conditions with one or more allowable thresholds and selectively interrupt, stop, or release radiation delivery; and a module (7) for clinical review, data logging and treatment evaluation, configured to store treatment response data, generate session-related adjustment protocols and provide one or more recommendations for subsequent fractions, wherein the system (100) adaptively modifies the radiation output in response to continuously monitored biophysical tissue conditions of the patient.

The application discloses a kind of intelligent health assessment and physiotherapy system and method for Chinese medicine physiotherapy shop.The method is by collecting the multi-modal health data such as tongue image, face image, body posture, gait, plantar pressure of user, according to national standard to build digital mapping of meridian and acupoint, realize individual acupoint positioning and path planning.The system contains intelligent massage head and moxa control temperature box, can real-time collect the parameters such as intensity, pose, temperature, distance of operation process, and combine with sleep monitoring data.Based on the above data, multi-modal fusion analysis is carried out, and the health assessment and physiotherapy scheme containing recommended acupoint, massage and moxa parameters is automatically generated, and safety control and record are carried out during physiotherapy process.Finally, closed-loop optimization of pre-treatment evaluation, treatment monitoring, post-treatment retest and sleep follow-up is formed, to solve the problems of subjective evaluation of Chinese medicine physiotherapy, unquantifiable process, safety dependent on experience and difficult to objectively evaluate the efficacy, and to improve the standardization and safety of physiotherapy service in the shop.

This invention relates to a multi-task learning-based integrated nutritional decision-making method and system for examination, diagnosis, treatment, and evaluation, belonging to the interdisciplinary field of clinical medicine and artificial intelligence. This method aims to address the problems of isolated tasks, limited data utilization, and lack of quantitative recommendation and prognostic prediction capabilities in existing nutritional decision-making technologies. The technical solution involves constructing a serial multi-task learning neural network model, sequentially including a feature extraction module, a nutritional diagnosis module, a nutritional treatment recommendation module, and a prognostic and efficacy evaluation module. A joint loss function that dynamically balances the weights of each task and reuses prognostic labels is designed for training. This invention achieves integrated decision-making throughout the entire process of examination, diagnosis, treatment, and prognosis. It can integrate multimodal data to achieve accurate feature extraction, provide personalized quantitative nutritional recommendations, and prospectively predict efficacy to guide clinical intervention, significantly improving the efficiency and accuracy of nutritional decision-making.

This invention discloses a method for monitoring and evaluating shipborne wastewater treatment based on high-resolution full-spectrum soft sensing, relating to the fields of water quality monitoring and marine environmental protection. It aims to address the technical problems of existing shipborne water quality monitoring systems, which rely on hardware sensors, have weak anti-interference capabilities, poor model generalization, and cannot accurately analyze the status of each stage of the wastewater treatment system in real time, resulting in an incomplete evaluation system. This method uses high-resolution full-spectrum data as a foundation, integrates soft sensing technology, and constructs a water quality parameter prediction model based on machine learning and self-learning to achieve real-time and accurate measurement of key water quality parameters of shipborne wastewater. Simultaneously, it establishes a comprehensive evaluation index system for the shipborne wastewater treatment system, combining monitored water quality parameters and operational data from each stage to complete status analysis and fault prediction for core stages such as sedimentation, oxidation, and biological treatment.

The application discloses a kind of dental arch arrangement irregularity quantitative analysis method, it is related to oral digital analysis and orthodontic diagnosis technical field.The application is first based on the extracted occlusion key anatomical landmark point and carries out overall dental arch curve fitting to dental arch;Again, the same group of landmark points is carried out local dental arch curve fitting;By calculating the difference of overall dental arch curve and local dental arch curve on the corresponding position, and using the normalized root mean square error to the difference is quantified, to obtain the numerical index reflecting the degree of dental arch irregularity.To improve the comparability between different individuals, after the error value is normalized, it is divided into normal, mild, moderate and severe irregular grade according to the preset threshold interval.The application simultaneously reflects the overall trend of dental arch and local arrangement deviation;Without manual intervention, it is suitable for large-scale clinical analysis;And high sensitivity to tooth crowding, rotation and local arrangement disorder, can be used for pre-treatment evaluation, efficacy monitoring and dentition data analysis.

The intelligent claim settlement method and device, the electronic equipment and the storage medium provided by the present application are related to the technical field of artificial intelligence and are suitable for the fields of finance and medical health. The method comprises the following steps: acquiring multi-modal claim settlement application data; performing disease correlation on the multi-modal claim settlement application data based on a preset knowledge graph to obtain a target disease; performing health assessment on a target object according to the multi-modal claim settlement application data and the target disease to obtain disease severity; performing treatment evaluation according to the multi-modal claim settlement application data and a target symptom to obtain treatment rationality; performing cost evaluation according to the multi-modal claim settlement application data and a target treatment scheme to obtain cost relevance; performing data fusion according to the disease severity, the treatment rationality and the cost relevance to obtain a claim settlement suggestion; and performing claim settlement on a claim settlement application according to the target disease and the claim settlement suggestion. The present application can improve the accuracy and efficiency of claim settlement for insurance.