76 results about "Treatment evaluation" patented technology

The invention provides a phototherapy parameter adaptive optimization method and system based on deep learning. The method comprises the following steps: constructing a phototherapy parameter optimization model comprising three sub-models, namely a feature extraction sub-model, a parameter effect evaluation sub-model and a parameter adaptive optimization sub-model; acquiring historical working data and treatment effect data of phototherapy equipment, and generating a parameter data set and an effect data set; respectively extracting a parameter feature vector and an effect feature vector by using the feature extraction sub-model; inputting the feature vector into a parameter effect evaluation sub-model, generating a parameter-effect incidence matrix, and quantifying an incidence relation between a parameter combination and a treatment effect; according to real-time environment data, based on the environment data and the incidence matrix, a phototherapy parameter configuration scheme is dynamically generated by the parameter adaptive optimization sub-model and is sent to the phototherapy equipment; and acquiring treatment evaluation data, and updating and optimizing the parameter adaptive optimization sub-model according to the treatment evaluation data. According to the invention, efficient, accurate and adaptive optimization of the phototherapy parameters is realized, and the controllability of the phototherapy effect and the treatment effect are significantly improved.

The invention discloses a resin adsorption waste gas treatment evaluation optimization method based on multi-source data fusion, and particularly relates to the field of waste gas treatment.The method comprises the steps of S1, collection area determination, S2, waste gas monitoring sensor deployment, S3, resin data collection, S4, resin data preprocessing, S5, resin treatment effect analysis, S6, numerical treatment effect judgment and S7, real-time optimization. In order to solve the problems that a traditional waste gas treatment monitoring mode is single, evaluation is not accurate, and dynamic optimization cannot be achieved, a first-level collection area and a second-level collection area are divided, multiple sensors are deployed in a targeted mode to collect multi-source data, the multi-source data are preprocessed, and the multi-source data are analyzed and analyzed. The preprocessed data are input into a mathematical model to evaluate the waste gas treatment effect, and when an evaluation index exceeds a threshold value, the system performs early warning and automatically adjusts operation parameters of the adsorption tower, so that multi-source data fusion monitoring, accurate evaluation and intelligent optimization are realized, the treatment cost is reduced, and the treatment effect is improved.

We provide a treatment planning, treatment evaluation, and treatment instruction creation support system that uses additional learning from case data for which diagnosis and treatment have been completed in a large-scale language model. [Solution] The system includes a case data recording means for recording case data containing case feature data and treatment content data for patients whose diagnosis has been confirmed and whose treatment has been completed, a case learning means for adding pairs of case feature data and treatment content data for each case to a large-scale language model (LLM) as supervised learning data, and a treatment content data suggestion means for suggesting treatment content data from the case feature data of patients for whom treatment is to be initiated.

The invention discloses an injury condition simulation system based on treatment feedback and a treatment evaluation method, and relates to the technical field of injury condition treatment simulation, and the system comprises a simulation definition module which generates initial vital sign parameters and natural evolution increment under a non-intervention condition according to an injury condition type defined in a treatment scene, the physical injury condition simulation dummy comprises a physical injury condition simulation dummy, a treatment detection module for analyzing and quantifying treatment actions of practicers and generating corresponding intervention signals, a central control module for calculating and outputting vital sign parameters and body surface performance parameters based on pathophysiology laws and an intervention mapping model, and a state feedback module for driving each execution unit of the physical injury condition simulation dummy. The system can analyze and score execution parameters of each treatment action of practicers, generate action quality indexes and intervention signals, provide quantifiable and comparable operation feedback for students, and map treatment action effects to dynamic update of injury states, so that vital signs and body surface manifestation change along with operation.

The invention provides an evaluation system based on a transcranial magnetic stimulation treatment effect of refractory depression, and belongs to the field of transcranial magnetic stimulation treatment evaluation. The problem that the objectivity and interpretability of an evaluation result are insufficient due to the fact that multi-modal data are not effectively integrated in the prior art is solved. The system comprises a neural navigation module which is used for determining an individualized transcranial magnetic stimulation target spot through a resting state functional magnetic resonance imaging technology and a remote isolation effect principle; the periodic treatment module is used for carrying out cranial magnetic stimulation frequency setting by adopting an alternate theta burst stimulation scheme; the data acquisition and processing module is used for acquiring multi-modal data before and after treatment and performing feature extraction; and the treatment evaluation module is used for establishing a multi-modal fusion curative effect prediction model through a support vector machine, and the model is used for evaluating the treatment effect and predicting the symptom relieving degree after being trained by a training data set. The method is mainly used in data evaluation field.

The invention discloses a diabetic foot ulcer monitoring and treatment evaluation device and method based on structured light imaging. The device comprises an image acquisition module, a mechanical arm module, a man-machine interaction module and an information processing module. The mechanical arm module comprises a multi-degree-of-freedom mechanical arm, the image acquisition module comprises at least one structured light image acquisition device, and the mechanical arm drives the image acquisition module to move, acquires three-dimensional point cloud images of feet from different angles and synchronously acquires space coordinates and deflection angles of the image acquisition module; and the information processing module is used for constructing a foot three-dimensional point cloud model by utilizing the three-dimensional point cloud image and the corresponding space coordinates and deflection angles, importing the foot three-dimensional point cloud model into the trained diabetic foot detection and treatment evaluation model for analysis, and displaying a prediction result through the man-machine interaction module. According to the method, the foot three-dimensional point cloud model is reconstructed, the reconstructed model is identified, the area, the volume and the position of the wound surface are evaluated, and then the treatment effect of the current mode can be evaluated.

The invention relates to the field of medical instruments, and discloses a knee joint nerve treatment auxiliary positioning surface-mounted electrode system and method, the system comprises a signal acquisition module, a nerve positioning module, an electrode adjustment module, an energy control module, a treatment feedback module and a treatment evaluation module, and the invention also discloses a knee joint nerve treatment auxiliary positioning surface-mounted electrode method. Comprising the following steps: initializing a system, starting a knee joint nerve treatment system, installing a surface-mounted electrode, and arranging an energy control module, a signal acquisition module, a nerve positioning module, a treatment feedback module and an electrode adjusting module to prepare to start treatment. By introducing real-time physiological feedback, dynamic adjustment of electrode positions and radio frequency energy and the treatment evaluation module, more accurate, safer and more personalized knee joint treatment is realized, the stability of the treatment effect and the curative effect are improved, and side effects are reduced.

The invention belongs to the technical field of biological genetic engineering, and particularly relates to a mouse model construction scheme capable of reproducing a key phenotype of hemophagocytic syndrome, which comprises the following steps: inserting a loxP-STOP-loxP-LMP1 conditional expression cassette into a Rosa26 safe port site in a fixed point manner to obtain an Lmp1cKI mouse strain; and hybridizing the mouse with an Ncr1-Cre transgenic mouse of NK cell specific expression Cre recombinase. In a double transgenic offspring (Lmp1Ncr1-Cre), STOP fragments are cut off by Cre enzyme, and continuous high expression of EB virus LMP1 protein in NK cells is driven. The model does not need chemical induction or immune intervention, and typical hemophagocytic syndrome phenotypes, namely serum IL-6, TNF-alpha and IFN-gamma, spontaneously appear within 7-9 days after young rats are born; the body weight is reduced and the survival rate is obviously reduced; the proportion of lymphocytes is sharply reduced; and NK cells are depleted. The invention provides a stable and reliable tool for hemophagocytic syndrome pathogenesis research, drug screening and treatment evaluation.

The invention relates to the technical field of data detection, and discloses a micro-plastic pollution abatement effectiveness detection method based on big data coupling. In the aspect of pollution traceability, the method adopts a mode of combining multi-dimensional feature acquisition and a feature evolution model; the problem of traceability failure caused by feature drift in a traditional method is solved, the traceability effective time is prolonged, and the traceability accuracy is improved. In the aspect of migration prediction, the multi-process coupling model and physical and chemical parameter dynamic association mechanism established by the method can accurately simulate complex interaction behaviors in the micro-plastic transportation process, and the prediction error of a migration path is reduced. In the aspect of governance evaluation, the governance process conversion behavior analysis method and the multi-dimensional evaluation system established by the method can accurately distinguish true removal, pollution transfer and form conversion, and the situation that a governance scheme with appearance reaching the standard but the actual risk not reduced is misjudged as an effective scheme is avoided.

The invention discloses an inflammatory pulmonary epithelium injury treatment evaluation method based on alveolar organs, and relates to the technical field of medical biology. The invention mainly aims at alveolar epithelium injury and repair in inflammatory lung injury, and establishes an organ-like model for simulating alveolar epithelium injury. By using the model, the efficacy of related drugs on alveolar epithelium injury repair can be detected in a targeted manner, and an efficient drug screening and evaluation platform and method are provided for pulmonary epithelium repair in inflammatory lung injury. According to the technical scheme, the method comprises the steps that mouse alveolar epithelial stem cells are separated through magnetic bead sorting, an alveolar organoid inflammatory lung injury model is established through LPS exposure, alveolar organoid is treated through drugs, the organoid generation number, the organoid formation rate, the epithelial cell proliferation rate and the AT2-AT1 differentiation efficiency are detected, and the drug treatment effect is evaluated.

In some embodiments, a system for providing a therapeutic treatment to a patient's eye includes a treatment beam source configured to transmit a treatment beam along a treatment beam path. The system further includes a processor coupled to the treatment beam source, the processor being configured to direct the treatment beam onto retinal tissue of the patient's eye and deliver a series of short duration pulses from the treatment beam onto the retinal tissue at a first treatment spot to treat the retinal tissue. In some embodiments, a pre-treatment evaluation method using electroretinography (ERG) data may be used to predict effects of treatment beams at different power values and to determine optimal power values.

The invention belongs to the technical field of biology, and particularly relates to ANK1 gene nonsense mutation and application. The invention firstly provides an ANK1 gene non-sense mutation c.2230 Cgt and an ANK1 gene non-sense mutation c.2230 Cgt. The invention relates to the field of genetic engineering, and in particular relates to nonsense mutation T (p.Q744X), the nonsense mutation significantly reduces the expression of ankyrin, and further causes phenotypic changes such as abnormal cell morphology and increased osmotic fragility after K562 erythroid differentiation, which indicates that the K562 is related to the pathological process of hereditary polycythemia spheroides (HS), and indicates that the mutation has pathogenicity; secondly, a treatment evaluation system taking drug-induced translation readthrough and adenine base editing as a core is constructed around the mutation, a new strategy and a technical platform are provided for precise molecular treatment of the ANK1 nonsense mutant HS, and important clinical transformation prospects and application values are achieved.

The present invention relates to a human limb impedance measurement and electrotherapy device, which includes a main control module, an impedance measurement module, a therapy module, a therapy evaluation unit, a mode switching module, an output voltage and therapy current monitoring circuit, an adaptive control unit, a channel selection module and a sensor electrode array. This device can achieve wide-range, high-precision, multi-frequency point and multi-channel human limb impedance measurement, accurately locate human limb acupoints by comparing the relative impedance magnitudes of each point in the measurement area, and can be converted into a therapy mode to perform electrotherapy at the located acupoint points to achieve precise therapy; during the therapy process, it tracks the therapy progress in real time and ensures the best therapy effect through adaptive control; and after the therapy is completed, it measures the impedance data of the therapy area again, and evaluates the therapy effect by comparing the impedance values before and after the therapy area; the upper computer supporting the device has perfect functions and simple operation, and can quickly locate the lesion points through color assignment display processing.

The invention discloses an intelligent agent monitoring system for oral health and appliance use. The intelligent agent monitoring system comprises an image acquisition module which is used for guiding a user to shoot a first image when the user wears an appliance in the oral cavity and a second image when the user takes down the appliance through a specific application program of a terminal; the data transmission module is used for transmitting the first image and the second image to a cloud server in a wireless communication mode; the mode recognition and analysis module is used for carrying out feature extraction on the preprocessed first image and second image based on a model in the cloud server, and analyzing the extracted oral cavity structure features to obtain the progress situation and potential problems of correction treatment; the personalized evaluation module is used for generating a treatment evaluation result through the language model, the progress condition and the potential problem, and generating a diagnosis report according to the evaluation result; the interactive feedback and adjustment module is used for pushing a diagnosis report to a user through a specific application program; a user is supported to carry out interactive consultation on the diagnosis report through the terminal and the cloud server, and instant response is obtained.

The invention discloses a multi-unit coupled VOCs treatment evaluation method and system, and solves the problems that VOCs treatment multi-unit combination scheme design and evaluation depend on an experience-driven method and a numerical simulation tool method and have many defects. The method comprises the following steps: constructing a database including VOCs emission scenes and VOCs types of each scene, randomly generating multiple different types of proportion simulation cases, scene air volumes and concentration gradient ranges in each scene, determining each VOCs treatment multi-unit combination and an effect evaluation function thereof, establishing a simulation emission working condition combination, and calculating the VOCs treatment effect of each multi-unit combination. And calculating effect values of all the multi-unit combinations of all the simulated emission working conditions, and selecting an optimal effect value to obtain a corresponding VOCs treatment scheme. And inputting a to-be-evaluated emission working condition, performing simulated emission working condition matching by the database, and obtaining a VOCs treatment scheme corresponding to the matched simulated emission working condition. According to the method, the design cost of small and medium-sized enterprises in the actual VOCs emission working condition is reduced, the process verification time is shortened, and the industrial VOCs treatment scheme standardization problem is effectively solved.

The application provides a preparation method and application of a bone and soft tissue sarcoma organoid. A bone and soft tissue sarcoma tissue sample is placed in a modified organoid culture medium and placed in a CO2 incubator for culture at 37 DEG C. Half of the medium is replaced every two days, and a bone and soft tissue sarcoma organoid can be obtained within two weeks. The method is simple to operate, significantly improves the survival rate and quantity of organoids, and shortens the culture time of organoids. Eight different subtypes of bone and soft tissue sarcoma organoids can be obtained by using the method. The bone and soft tissue sarcoma organoids obtained by the application can be passaged and stored at low temperature, retain all cell types of the original tumor tissue block, more truly simulate the tumor microenvironment, and provide more clinically consistent drug sensitivity test results. The bone and soft tissue sarcoma organoids obtained by the application can be used for personalized CAR-T treatment evaluation, drug sensitivity detection of chemotherapeutic drugs and targeted drugs, and preparation of personalized tumor vaccines.

The present invention provides a method for controlling mood and anxiety disorders in TMS therapy based on emotion induction, including the following steps: conducting a clinical assessment of the patient's mental health before treatment; performing a brain magnetic resonance imaging (MRI) examination of the patient under emotion induction; prioritizing selected individualized targets based on the patient's clinical assessment and the degree of abnormal brain function activity under emotion induction; formulating a TMS treatment plan under emotion induction based on the target priority ranking; conducting a short-term treatment evaluation and utilizing an efficacy prediction model to perform a long-term prediction of the remaining treatment trajectory; and after completion of treatment, feeding the treatment trajectory back to a local database and conducting a post-treatment clinical evaluation. The present invention also relates to a corresponding device, processor, and storage medium. Using the method, device, processor, and storage medium of the present invention, the control differences of patients under different scenarios can be effectively displayed using a scenario stimulus library and scenario brain function imaging.

A corneal elastic modulus measurement device and method based on magnetic nanoparticle excitation, including a soft magnetic nanoparticle contact lens, an electromagnetic excitation module, an OCT module, and a data processing module. The soft contact lens is wrapped with a sealing film and attached to the corneal surface, and generates a mechanical response under the controllable magnetic field generated by the electromagnetic coil; the OCT module synchronously captures dynamic deformation images before and after excitation, and its optical path is coaxially adapted with the annular electromagnetic structure to ensure synchronization of imaging and excitation. The data processing module extracts displacement information through multi-stage signal processing, combines the magnetic field force and the correction coefficient to compensate for the influence of corneal geometric parameters, and generates a high-resolution two-dimensional elastic modulus map. The system realizes real-time regional measurement of corneal mechanical properties with micron-level resolution, avoids the inadaptability of traditional technology with millimeter-level deformation, significantly improves the detection accuracy, safety and comfort, and is suitable for precise diagnosis and treatment evaluation of clinical corneal diseases.

The application discloses a kind of myasthenia gravis dynamic diagnosis and treatment path optimization method and system based on multimodal fusion, the method includes: the multimodal data of myasthenia gravis patient is collected, and its feature extraction and enhancement are carried out to obtain multimodal feature;Based on multimodal feature, construct three-dimensional dynamic feature matrix and carry out cross-modal fusion, obtain target fusion feature;Target fusion feature is used to train multi-task depth network model, and the diagnosis and treatment path optimization model is obtained;According to preset interval, data is dynamically collected and input model, and diagnosis and treatment evaluation result is output to realize diagnosis and treatment path dynamic optimization.Due to the application, through multimodal fusion and dynamic optimization mechanism, break the limitation of traditional static path diagnosis and treatment, effectively excavate patient multidimensional disease characteristics, improve diagnosis and treatment evaluation accuracy, realize diagnosis and treatment path dynamic optimization, effectively reduce unreasonable diagnosis and treatment behavior, reduce diagnosis and treatment cost, improve efficiency, provide intelligent support for clinic, improve diagnosis and treatment effect.

The invention belongs to the field of underground engineering, and particularly relates to a simulation test detection method for the whole insertion and extraction process of a steel sheet pile. The simulation device is manufactured, a soil layer of a certain depth unit is laid in a model box of the simulation device, the steel sheet pile inserting and driving condition at any stratum depth can be effectively simulated through stacking and loading, quantitative indexes before and after steel sheet pile inserting and driving are established, and the disturbance condition of inserting and driving on a soil body is effectively represented; and the recovery rate indexes and the comprehensive treatment evaluation indexes of the disturbed area and the undisturbed area are established, so that the comprehensive evaluation of the treatment effect is realized, an objective evaluation system based on core quantitative indexes such as soil compactness change, ground settlement (displacement), strength and the like is established, and the limitation brought by traditional single dependence on qualitative analysis is overcome.

The invention discloses a fluorescent / electrochemical dual-mode probe for detecting hydrogen peroxide (H2O2) as well as a preparation method and application of the fluorescent / electrochemical dual-mode probe, and belongs to the technical field of organic probe molecular analysis and detection. The probe takes resorufin (Re) as a fluorescence and electrochemical double-signal report unit and pentafluorobenzenesulfonyl (PS) as an H2O2 response unit, and is named as Re-PS. The preparation process comprises the following steps: under the conditions of nitrogen protection and ice bath, resorufin and pentafluorobenzene sulfonyl chloride react in an anhydrous dichloromethane solvent under the catalysis of triethylamine, and a target product is obtained through rotary evaporation concentration and silica gel column chromatography purification. The probe has both open-type fluorescence detection and ratio-type electrochemical detection functions, and is used for quantitative analysis of H2O2 in Alzheimer's disease (AD) model mouse brain microdialysate. Compared with the existing detection technology, the probe provided by the invention has high stability (37 DEG C, pH 7.4), and the hydrolysis rate lt in 15 min; the method has the advantages of high sensitivity (5%), high selectivity (no obvious response to other active oxygen and biomolecules) and accurate detection (dual-mode signal cross validation and recovery rate of 96.0%-103.0%), provides a reliable tool for accurate detection of H2O2 in biological samples, and has important application value in neurodegenerative disease mechanism research and related diagnosis and treatment evaluation.

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 invention discloses an urban water environment treatment project treatment evaluation method, and relates to the technical field of water environment comprehensive treatment evaluation. According to the method, multi-source information such as a drainage system diagram, monitoring data, policy requirements and the like is integrated through a five-step closed-loop evaluation system of'checking, measuring, tracing, treating and reporting ', a'one-diagram two-table' evaluation diagnosis tool is constructed, and a treatment evaluation benchmark and a core problem are clarified; a root influencing an evaluation result is locked through three-in-one traceability, and block chain evidence storage is carried out; a'one-point-one-strategy 'optimization scheme is formulated based on the evaluation diagnosis result, and an energy-saving technology and a'on-effect payment' evaluation hooking mode are fused; and constructing a government-enterprise public collaborative communication system, and feeding back an evaluation result and an optimization progress. According to the method, the problems of fragmentation, single index, weak data support and closed loop deficiency of traditional treatment evaluation are solved, core indexes such as sewage centralized collection rate, operation cost optimization, river and lake water quality standard reaching and the like can be accurately evaluated, and the evaluation result provides a scientific basis for improvement of the treatment effect.

The invention discloses a corneal elastic modulus measuring device and method based on magnetic nanoparticle excitation. The corneal elastic modulus measuring device comprises a soft magnetic nanoparticle contact lens, an electromagnetic excitation module, an OCT module and a data processing module. The soft contact lens is attached to the cornea surface by wrapping magnetic nanoparticles with the sealing film, and generates mechanical response under a controllable magnetic field generated by the electromagnetic coil; the OCT module synchronously captures dynamic deformation images before and after excitation, and an optical path of the OCT module is coaxially matched with the annular electromagnetic structure to guarantee synchronization of imaging and excitation. And the data processing module extracts displacement information through multi-stage signal processing, compensates the influence of cornea geometric parameters in combination with a magnetic field acting force and a correction coefficient, and generates a high-resolution two-dimensional elastic modulus map. According to the system, real-time regionalization measurement of corneal mechanical characteristics is achieved with micron-level resolution, discomfort of millimeter-level deformation in the prior art is avoided, detection precision, safety and comfort are remarkably improved, and the system is suitable for precise diagnosis and treatment evaluation of clinical corneal diseases.

The invention provides an automatic analysis method for severity of cochlea lost hydrops. The method comprises the following steps: acquiring a microscopic image of a certain animal cochlea pathology; preprocessing the microscopic image; automatically segmenting the cochlea structure of the preprocessed microscopic image; automatically extracting a cochlear tube contour surrounded by a vestibular membrane and a basilar membrane in a cochlea structure of the microscopic image and a structure contour on the cochlea basilar membrane, and manually correcting the extracted contours; and automatically calculating the ratio of S1 to S and obtaining the analysis result of the severity degree of cochlea lost hydrops based on the artificially corrected area S1 corresponding to the contour of the cochlea tube surrounded by the vestibular membrane and the basilar membrane and the area S corresponding to the contour of the structure on the cochlea basilar membrane. According to the method, the vacancy of quantitative analysis tools for cochlear hydrops is filled, the method serves for otology basic research and vestibular disease research, and more efficient and objective technical support is provided for mechanism research and treatment evaluation of inner ear diseases such as Meniere disease and the like.

The present invention provides a method for providing an orthodontic status and orthodontic treatment evaluation information based on dental scan data of a patient, implemented in a computing device including one or more processors and one or more memories storing instructions executable by the processors. The method is characterized by comprising: an initial image acquisition step of, when first dental scan data, which is three-dimensional scan data acquired by photographing the patient's head, is received, acquiring a first dental image, which is an image of the patient's teeth arrangement, on the basis of the received first dental scan data; a correction image acquisition step of, when the acquisition of the first dental image is completed, confirming a teeth arrangement status based on the first dental image through a pre-stored algorithm, and acquiring treatment solution information for correcting the teeth arrangement based on the confirmed teeth arrangement state, wherein acquired is a second dental image, which is an image of predicted teeth arrangement upon completion of the correction based on the acquired treatment solution information; an orthodontic appliance design creation step of, when the acquisition of the second dental image is completed, creating a design of a transparent orthodontic appliance for correcting the patient's teeth arrangement into a teeth arrangement corresponding to the second dental image; an intermediate image acquisition step of, in the process of correcting the patient's teeth arrangement as the patient has on the transparent orthodontic appliance based on the created design, when second dental scan data, which is new three-dimensional scan data, is received, acquiring a third dental image, which is an image of the patient's teeth arrangement being corrected, on the basis of the received second dental scan data; and an orthodontic status information provision step of, when the acquisition of the third dental image is completed, acquiring teeth movement vector information of the patient through the first dental image, the second dental image, and the third dental image, and generating orthodontic status information for orthodontic treatment of the patient on the basis of the acquired teeth movement vector information and providing same to a medical personnel account.

The invention relates to a method for evaluating in post-treatment an ablation of a portion of an anatomy of interest of an individual, the anatomy of interest comprising at least one lesion. The post-treatment evaluation method comprises in particular a step of automatically evaluating a risk of recurrence of the lesion of the anatomy of interest of the individual based on the analysis of a pair of pre-operative and post-operative medical images of the anatomy of interest of the individual by means of automatic learning method of the neural network type, said method being preloaded during a so-called training phase on a database comprising a plurality of pairs of medical images of an anatomy of interest identical to a plurality of individuals, each medical image pair of the database being associated with a recurrence status of a lesion of the anatomy of interest of said patient. The invention also relates to an electronic device comprising a processor and a computer memory storing instructions of such an evaluation method.

The present invention relates to a treatment method for TMS treatment of mood disorders and anxiety disorders based on emotion induction, comprising: conducting a clinical assessment of the patient's mental health before treatment; performing a brain magnetic resonance imaging (MRI) examination of the patient under emotion induction; prioritizing selected individualized targets based on the patient's clinical assessment and the degree of abnormal brain functional activity under emotion induction; formulating a TMS treatment plan under emotion induction scenarios based on the target priority ranking; conducting a short-term treatment evaluation and utilizing an efficacy prediction model to perform a long-term prediction of the remaining treatment trajectory; and after the treatment is completed, feeding the treatment trajectory back to a local database and conducting a post-treatment clinical evaluation. The present invention also relates to a corresponding device, processor, and storage medium. Using the method, device, processor, and storage medium of the present invention, the control differences of patients under different scenarios can be effectively displayed through a scenario stimulus library and scenario brain function imaging.

The invention discloses a group of diagnosis, typing and prognostic markers for children Langerhans cell histocytosis, and belongs to the technical field of disease diagnosis. In the invention, an overall metabolic profile of bone marrow aspirates (BMA) of 34 children LCH patients is analyzed, and the patients are divided into three subtypes: single system diseases (SS), multi-system diseases (MS-RO-) without dangerous organ tiredness and multi-system diseases (MS-RO +) with dangerous organ tiredness. The metabonomics characteristics of children diagnosed as LCH are described, the metabolic characteristics of a multi-system LCH (MS-RO +) group with dangerous organs being tired before and after treatment are comprehensively researched, and important metabolic markers for molecular diagnosis, subtype classification, treatment evaluation and prognosis are provided for children patients suffering from LCH, especially high-risk LCH.

Disclosed are a method and a system for the assessment of the severity of a psychiatric disorder (PD) using measurements of computational and high-order functions in brain organoid neurons.