513 results about "Treatment plan" patented technology

The invention relates to the technical field of medical information processing, in particular to a type 2 diabetes precise typing and dynamic treatment system which comprises a clinical feature extraction module, a metabolism dynamic modeling module, a precise typing module, a treatment parameter generation module and a dynamic treatment output module. Wherein the clinical feature extraction module is used for collecting a multi-dimensional clinical data set of a patient for continuous 14 days; the metabolism dynamic modeling module is used for extracting blood glucose fluctuation characteristics and pancreas islet function compensation characteristics; the precise typing module is used for dividing metabolism-driven subtypes to which the patients belong through a clustering algorithm; the treatment parameter generation module is used for mapping a subtype-treatment rule base and outputting a matched personalized treatment parameter combination; and the dynamic treatment output module outputs a dynamic treatment scheme. According to the invention, through a dynamic treatment mechanism based on typing, linkage control of individual difference identification and real-time adjustment of the medication scheme of the type 2 diabetes patients is realized, and the accuracy and adaptability of treatment are improved.

The invention relates to the technical field of medical image information processing, and discloses a medical image information management system based on wisdom medical treatment, which comprises a scene perception preprocessing module, a cross-modal attention fusion module, a weak supervision annotation module, a comparative analysis module, a collaborative report generation module, a knowledge graph reasoning decision module and a consultation collaborative platform module. The image quality is improved through scene adaptive preprocessing; a hierarchical cross-modal attention mechanism is adopted to realize multi-modal feature alignment and fusion; lesion labeling is carried out based on a cascade weak supervised learning strategy; obtaining a focus evolution trend through time sequence correlation analysis; generating a standardized diagnosis report by using a visual language collaborative network; providing treatment scheme recommendation based on individualized knowledge graph reasoning; and a multidisciplinary consultation cooperation platform is constructed. According to the method, the scene adaptability of image quality evaluation is improved, the multi-modal semantic alignment capability is enhanced, the dependence of focus labeling on a fine sample is reduced, and dynamic disease monitoring and individualized diagnosis and treatment decision support are realized.

A computer-implemented method including receiving, at a computing device, a first treatment plan designed to treat a sexual performance health issue of a user. The first treatment plan comprises at least two exercise sessions that, based on the sexual performance health issue, enable the user to perform an exercise at different exertion levels. While the user uses a treatment apparatus to perform the first treatment plan for the user, the computing device receives cardiovascular data from one or more sensors configured to measure the cardiovascular data associated with the user, and transmits the cardiovascular data. A machine learning model is used to generate a second treatment plan that modifies at least one exertion level, and the modification is based on a standardized measure comprising perceived exertion, the cardiovascular data, and the cardiovascular health issue of the user. The method includes receiving the second treatment plan.

The invention discloses an electronic medical record intelligent writing and structured processing system based on AIGC, and relates to the technical field of medical information processing and artificial intelligence application, and the system comprises a medical record information extraction and analysis module which extracts diagnosis records, medication schemes and treatment plan data of a patient in different departments and time points from an electronic medical record system, and obtains a medical record information analysis module; analyzing semantic content and format differences of the data by adopting a natural language processing algorithm to obtain a standardized medical information set; the diagnosis and treatment map construction module is used for constructing a patient diagnosis and treatment map according to the standardized medical information set and determining potential heterogeneous data connection points in the map; according to the electronic medical record intelligent writing and structured processing system based on AIGC, medical record data consistency checking and conflict automatic coordination are achieved, and the cross-department diagnosis and treatment cooperation efficiency and the safety and accuracy of a patient treatment scheme are remarkably improved.

The invention belongs to the field of computational medicine, particularly relates to a method and a system for constructing full-parameter digital twinning of a patient and performing treatment simulation, and aims to solve the problems that an existing digital twinning model cannot fuse multi-scale data, lacks dynamic optimization capability and is disjointed with a clinical decision process. The method comprises the following steps: acquiring and integrating multi-source heterogeneous data of a patient; performing cross-scale fusion modeling based on the data, and constructing a personalized digital twinborn initial parameter set containing genetic background correction; driving a multi-physics field coupling engine to simulate an intervention effect, constructing a reverse optimization problem taking real-time monitoring data as a dynamic constraint, and solving an optimal intervention scheme parameter; and carrying out verification simulation on the optimization scheme and generating a treatment report containing quantitative evaluation and risk early warning. According to the invention, by constructing a full-parameter and mechanism model and introducing a dynamic closed-loop optimization verification process, the personalized precision, safety and clinical decision support value of treatment scheme simulation are significantly improved.

A computer-implemented system includes one or more processing devices configured to receive comorbidity information that includes a plurality of comorbidities or comorbidity-related conditions associated with a user, generate a selected set of the comorbidity information, determine, based on the selected set of the comorbidity information, respective probabilities of a plurality of different outcomes related to the comorbidity information, and generate, based on the respective probabilities and the selected set of the comorbidity information, a treatment plan comprising one or more exercises directed to changing the respective probabilities. A treatment apparatus is configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.

A method for diagnosing and recommending treatment to a patient that may or may not present with occlusal disease includes acquiring 3D scans of the patient's maxillary and mandibular arches, and acquiring occlusal assessment data of the patient's teeth and dental arches. The method also includes automatically generating a treatment plan recommendation, and a recommended treatment plan projection and a non-treatment projection based, at least in part, on the acquired 3D scans of the patient's maxillary and mandibular arches, and the acquired occlusal assessment data of the patient's teeth and dental arches. The method also includes automatically displaying a rendering of the patient's simulated dental arch N years in the future based on the automatically generated recommended treatment plan projection, and a rendering of the patient's simulated dental arch N years in the future based on the automatically generated non-treatment projection, where N is greater than 1.

Systems, methods, and computer-readable media for and improvement rehabilitation infrastructure. The method includes receiving data associated with a user that uses a electromechanical machine to perform a treatment plan. The method also includes generating, using an artificial intelligence engine, a unique data signature associated with a regression of the user's condition. The unique data signal is generated when an indicator in the data satisfies a threshold indicator level. The method further includes generating, using the artificial engine and based on the unique data signature associated with the regression of the user's condition, a modified treatment plan that modifies a parameters or activity associated with at least one of the pain measurement, the measurement of revolutions per minute, and the session pedaling time. The method also includes controlling, while the user uses the electromechanical machine and using the modified treatment plan, the electromechanical machine.

A method provides a palatal expansion management tool. The method includes receiving scan data of a craniofacial structure of a patient, providing the scan data as input to an artificial intelligence (AI) model trained to provide a recommended palatal expansion treatment plan for the patient; receiving, as output from the AI model, the recommended palatal expansion treatment plan; and providing, to a user device, the recommended palatal expansion treatment plan.

Systems, methods, and computer-readable media for and improvement rehabilitation infrastructure. For example, a method may include using, inter alia, objective data to optimize treatment plans to support user progression during rehabilitation for the purpose of assisting in determining AI-driven interventions by using machine learning to generate at least one data signature. In some embodiments, a method may perform AI-driven interventions via optimization of treatment plans in order to support user progression during rehabilitation by performing, based on data signatures related to medically-associated events, selective data injection. Some other embodiments use evidence-based research to enable AI and machine learning to select and modify treatment plans in real-time at scale. Further, the improved rehabilitation infrastructure enables, via pain management, user compliance with treatment plans.

A geared-motor assembly for use in a spatial frame is disclosed. Each of the geared-motor assemblies being selectively attachable and detachable from a manually adjustable strut in a spatial frame. In use, with the geared-motor assemblies detached, the struts can be manually adjusted (e.g., rotated) to, for example, facilitate initial construction of the spatial frame in the operating room, to allow patients to manually adjust the struts if desired, etc. Thereafter, with the geared-motor assemblies coupled to the struts, motorized and / or automated adjustment of the struts according to a treatment plan can be achieved. In use, each of the geared-motor assemblies is configured as a stand-alone device including all of the needed intelligence (e.g., microprocessor, printed-circuit board, etc.) and power supply to control and power the geared-motor assembly so that no external wires or centralized controller is required.

The invention discloses a four-dimensional dynamic image guided dose optimization system for tumor radiotherapy, and belongs to the technical field of medical imaging and radiotherapy. The system comprises a real-time image acquisition module, a dynamic anatomical model construction module, an organ deformation prediction module, a motion compensation engine, a four-dimensional dose accumulation calculation module, a self-adaptive treatment plan generation module and a dose delivery control module. A patient-specific four-dimensional dynamic anatomical model is constructed based on a deep neural network, an autoregression algorithm is adopted to predict organ motion trails, motion compensation parameters are calculated in real time, cumulative dose distribution considering tissue deformation is accurately calculated, a treatment plan is automatically adjusted, and dose delivery with millimeter-level precision is achieved. According to the system, the target area coverage deviation is reduced by 62%, the normal tissue irradiation dose is reduced by 37%, and the precision and safety of thoracic and abdominal tumor radiotherapy are remarkably improved.

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.

One or more embodiments described herein relate to predicting, using adaptive artificial intelligence techniques, typical and aberrant physiological reactions of a patient to psychiatric counseling. Treatment plans can be determined and calculated based on previously-gathered demographic and / or biometric data, and / or modifications to treatment plans can be determined and / or implemented based on emergent recognition of reaction types, such as reclassifying reactions that would previously have been deemed typical as aberrant (or vice versa).

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 application relates to the technical field of image lesion recognition, and discloses a high-intensity focused ultrasound treatment plan generation method based on a three-dimensional lesion mask, which comprises the following steps: obtaining a three-dimensional image and a lesion mask and converting a coordinate system, identifying a treatment area to determine a Y-axis range, generating a treatment layer according to an interlayer spacing and a boundary mode, splitting a processing unit and generating a treatment line and a treatment point, filling a blind area through a point supplementing algorithm after grouping, and finally outputting a structured plan. The method realizes three-dimensional accurate coverage through hierarchical planning, various boundary modes are flexibly adapted to different lesion boundaries, the point supplementing algorithm solves the coverage blind area for special lesions, and the ablation coverage rate and the treatment plan integrity are significantly improved.

Techniques and systems for using spectroscopy, and / or image-based sensing with an intravascular blood pump are provided. The techniques generally include capturing a spectral response to light of a measured tissue and / or blood. Based on the specific needs, the method may include, e.g., determining a type of the measured tissue based on the spectral response, determining if the type of the measured tissue matches a target tissue type, determining a health of the measured tissue based on the spectral response, determining a treatment plan based on the health of the measured tissue, determining a type and / or quantity of components and / or characteristics in the blood, and / or determining a degree of heart recovery based on the type and / or quantity of the components and / or characteristics in the blood.

The present disclosure relates to systems and methods for generating and evaluating radiotherapy treatment plans. In an example, a system may include at least one processor configured to obtain data associated with a three-dimensional (3D) scan of a portion of a patient and at least one optimization objective; generating a set of radiotherapy treatment plans based on the 3D scan; and evaluating each radiation therapy treatment plan in the set of radiation therapy treatment plans based on the kernel function. The kernel function may include a metric evaluation function and a modification function based on the at least one optimization objective. In an example, the at least one processor may be configured to determine a selected radiation therapy treatment plan from a set of radiation therapy treatment plans based on comparing a cost of the selected radiation therapy treatment plan to a cost of each of the radiation therapy treatment plans.

Systems and methods for adjusting neural therapy patterns of a neuromodulation system in response to each of patient events and passage of time. Initial stimulation parameters are set and used to start a stimulation period. As time passes or events occur, the neuromodulation system adjusts the stimulation parameters according to a preset temporal pattern. Further examples include handling of patient requests for therapy changes, and acute testing for complex stimulation patterns.

Computer-implemented methods, systems, and computer-readable media are disclosed for selecting a first workflow path, where the first workflow path includes replacing at least a portion of a planned radiotherapy treatment plan with at least a portion of a previously generated radiotherapy treatment plan. A previously generated radiotherapy treatment plan is identified based on the determined structural features.

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.

The invention relates to the technical field of functional reconstruction of functional beta cells of diabetic patients, in particular to a design method and device for functional reconstruction of beta cells based on single-cell multi-omics and a development potential energy field, and is suitable for accurate design and verification of a functional beta cell regeneration treatment scheme of the diabetic patients. According to the method and the device disclosed by the invention, efficient design and verification of a personalized beta cell function reconstruction scheme are realized by integrating single-cell multi-omics data, an embryonic development mechanism and an optimal control theory.

A multi-layer orthodontic appliance has an extra soft or rubbery first layer for contacting the patient's teeth. The first layer is supported by a harder second sheet. The second harder sheet provides a repositioning force to move the patient's teeth according to a treatment plan. The extra soft first layer grips the teeth, and in preferred embodiments, is characterized by a contact angle sufficient to create a non-adhesive hydrophobic bond with the teeth. The appliance is operable to grip and move the patient's teeth according to a treatment plan without the need of attachments, or in the alternative, significantly reduces their prominences or the number of attachments required to treat a case, and without permitting water into the interface between the appliance and the teeth.

The disclosure provides gait modification or treatment apparatus, systems and methods that are appropriate for everyday life, have a significant mechanical effect, and provide a mechanism for tracking the compliance and performance of the patient to allow for individualized management of a gait modification prescription or treatment plan or sequence. Gait modification / treatment apparatus, systems and methods utilizing substantially rectilinear projections in the hindfoot and the forefoot are disclosed. Gait modification / treatment apparatus, systems and methods utilizing a projection that defines an engagement surface extending from the hindfoot to the forefoot are also disclosed. Gait modification / treatment apparatus, systems and methods utilizing a non-linear guide rail extending from the hindfoot to the forefoot are also disclosed. Further, gait modification / treatment apparatus, systems and methods utilizing an array of discrete pegs of differing stiffness / compression that provide load instability at least in the hindfoot and the forefoot are disclosed.

The invention provides an illness state tracking and early warning system based on a knowledge database, and the system comprises a data module which is responsible for collecting and integrating clinical knowledge and patient data information in the cardiovascular field; the survival rate prediction analysis module is used for extracting pathological features from the patient model, performing survival rate prediction analysis by using a deep learning algorithm and a neural network model, and displaying a prediction result to a physician in a visual report form; and the illness state auxiliary tracking, studying and judging module monitors the illness state change of the patient in real time, analyzes the illness state development trend and risk factors in combination with a knowledge graph and a patient model, and provides treatment scheme recommendation and early warning notification functions. Through the beneficial effects of integrating medical resources, improving data security, accurately predicting the survival rate of a patient, monitoring and early warning in real time, widely applying a knowledge graph, being friendly to user interaction, feedback circulation and continuous optimization and the like, powerful support is provided for prevention, diagnosis and treatment of cardiovascular diseases.

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.

A computer-implemented system includes one or more processing devices configured to receive user information associated with a user, generate a selected set of the user information, determine, based on the selected set of the user information, at least one of a first probability of surviving one or more procedures and a second probability indicating an improvement, resulting from the one or more procedures, in quality-of-life metrics for the user, generate, based on the at least one of the first probability and the second probability and on the selected set of the user information, one or more recommendations of whether the user should undergo the one or more procedures, and generate, based on the one or more recommendations, a treatment plan that includes one or more exercises directed to modifying the at least one of the first probability and the second probability.

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.