84 results about "Diagnostic information" patented technology

The application discloses a medical expense insurance simulation decision method and system based on data fusion, and relates to the technical field of medical expense insurance simulation decision. When a target patient has obtained a current stage treatment scheme, but the system cannot determine part of the medication sites to be determined as a unique medication direction according to existing diagnosis information and completed examination results, the candidate medication direction is reserved first, then the supplementary candidate is formed according to the medication category, stage continuation state and subsequent processing path, and the supplementary result of the previous stage corresponding to the same to-be-supplemented site is combined to perform an overlay determination, and only the unoverlaid part generates the supplementary result of this round; when subsequent new data arrives, only the affected unoverlaid part that satisfies the boundary condition and no longer establishes the original support relationship is executed for local reopening, so that the current stage input that can be called by insurance simulation decision is formed.

1. Name of the product in this design: Surge arrester diagnostic instrument controller (10kV). 2. Purpose of this design: To control a surge arrester diagnostic instrument and convert diagnostic data into diagnostic information that can be evaluated. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application discloses a diagnosis monitoring method and system based on a tree topology, and the method comprises the following steps: a controller generates an I / O module diagnosis information acquisition task and an I / O network diagnosis information structure according to a configuration file; the diagnosis information acquisition task acquires diagnosis information periodically, and writes the diagnosis information into the I / O network diagnosis information structure; the controller combines a tree I / O network topology relationship to judge the states of network elements in a step-by-step manner from bottom to top according to the I / O module diagnosis information and the I / O network diagnosis information; and configuration software acquires the states of I / O network topology elements after judgment and collection from the controller, and displays the states in a graphical manner. The technical scheme can realize intuitive display of abnormal elements of each level of the I / O network, realize abnormal collection from bottom to top, and improve the online monitoring experience.

The system obtains an issue associated with a network and resolves the issue by suggesting a solution and receiving an approval from an AR / VR device. Based on the issue, the system creates a ticket describing the issue and obtains diagnostic information associated with the issue. Based on the diagnostic information, the system determines a fix for the issue and sends a first notification to the AR / VR device. The first notification includes a description of the issue, the fix for the issue, and a request to test the fix. Upon receiving an approval to test the fix, the system performs regression testing using the fix and determines whether the fix passed the regression testing. Upon determining that the fix passed the regression testing, the system sends a second notification to the AR / VR device requesting an approval to deploy the fix, and upon receiving the approval, the system deploys the fix.

A warning management system and method are described. Essentially, every diagnostic problem code, regardless of severity, generates a warning. The operator is given the option to decline or suppress further warnings for a class of diagnostic problem codes, such as low-severity codes. Future notifications of such codes can be disabled in response to a selection of the provided option. For errors occurring during a boot process, device information can be retrieved from a shared memory to enhance diagnostic messages.

The application relates to a laser speckle image denoising method and device, which combines the complementary advantages of a laser intensity image and a laser phase image, extracts and fuses a contour feature map of a laser speckle image and a curvature feature map and a normal vector feature map of a laser phase image, provides a neural network with abundant geometric context, and further adds geometric feature constraints in the neural network to form a hierarchical system. The synergistic effect of the geometric constraints enables the denoising model to accurately maintain the edge contour, local surface morphology, surface orientation and overall topological structure of the image when removing speckle noise, significantly improves the geometric structure integrity of the denoised image, and effectively solves the problem that denoising and structure preservation are difficult to balance and diagnostic information is lost in the background technology. The application provides a more reliable and accurate solution for medical imaging application scenarios, and has significant technical progress and application value.

A device for predicting and diagnosing risk by cardiovascular disease type according to an embodiment comprises at least one processor, wherein the at least one processor predicts risk by cardiovascular disease type using a diagnostic model. The diagnostic model includes a first model that analyzes an inputted fundus image to predict cardiovascular risk; and a second model that receives a cardiovascular risk score predicted by the first model and disease type-specific factors to predict risk by cardiovascular disease type. Wherein the at least one processor is characterized by providing diagnostic information based on the cardiovascular risk predicted by the first model and the risk by cardiovascular disease type predicted by the second model.

We provide a compact, portable AI-based diagnostic scan and analysis device that improves healthcare delivery in diverse clinical and emergency settings. [Solution] The portable AI-based diagnostic scan analysis device 100 includes a system initialization interface 101 and a power control and startup hardware module 102 for establishing operational readiness and controlled power distribution. The diagnostic scan interface hardware module 103 acquires image, biosignal, or optical scan data, and the user input and parameter selection hardware module 104 enables the setting of diagnostic parameters. System safety is ensured by the error detection and safety monitoring hardware module 105, after which the scan is initiated by the scan execution trigger hardware module 106. Diagnostic information is presented by the data display and status interface hardware module 107, and processed by the active diagnostic processing hardware module 108 by executing an artificial intelligence algorithm.

This invention relates to the field of medical image processing, specifically to a multimodal medical image fusion system and method, comprising a data preprocessing module, a domain manifold embedding module, a hierarchical adaptive domain alignment network module, a multimodal feature fusion module, and a diagnostic decision module. The system establishes a topological correspondence between EBUS ultrasound, OCT tomography, and DWI functional images through a multidimensional domain manifold embedding structure; employs a hierarchical adaptive domain alignment network to achieve multi-scale feature extraction and precise alignment; designs a topology-preserving multimodal feature fusion mechanism to ensure the complete preservation of key diagnostic information from each modality during the fusion process; and utilizes a dual-path cross-validation decision strategy to improve the stability and reliability of diagnosis. The system inputs the domain-aligned multimodal features into a Transformer network and generates nodule detection and benign / malignant classification results through dual-threshold judgment, achieving accurate and non-invasive diagnosis of small lesions such as pulmonary nodules and early gastrointestinal lesions.

The equipment diagnostic system (1) successively obtains first data representing the state of the equipment at the first moment, second data representing the action performed by the equipment at the second moment, and third data specifying the settings related to the action of the equipment. Based on the first data and the second data, and the first moment and the second moment, it determines the first time period in which at least one event based on the first data and the second data occurs. Based on the performance target value representing the target performance of the equipment, it infers the second time period in which the performance of the equipment degrades. Based on the first time period corresponding to the more than one event and the second time period, it determines the cause of the performance degrade from the more than one event and outputs diagnostic information including the cause and the time period in which the cause occurred as the diagnostic result.

An automatic inhalation system which includes a gas supply system which includes a high pressure system and a medium pressure system, a breathing loop; wherein gas enters the breathing loop from the gas supply system; and wherein the breathing loop further comprises an inhale limb and an exhale limb each comprising at least one flow sensor, at least one CO2 sensor, and at least one O2 sensor. The system further includes a controller, wherein the gas supply system and breathing loop are in digital communication with the controller via an I2C bus and a set of analog inputs; and a touchscreen, wherein the touchscreen displays the diagnostic information on a UI accessed through a password-protected user management system; wherein the system is used to administer gas treatments to patients based on a preset protocol that may be started by either an operator or administrator and edited only by an administrator.

This application discloses a postoperative symptom prediction system, device, and storage medium. The postoperative symptom prediction system includes a terminal device and a server. The server is configured to perform the following operations: before surgery, using a preset feature extraction model to generate first feature information based on diagnostic information, where the diagnostic information includes a diagnostic report, surgical plan information, and the patient's preoperative physiological parameters; matching the first feature information with a knowledge base to determine context information matching the first feature information; generating prompt information based on the diagnostic information and context information using a preset prompt information template; and predicting the patient's postoperative symptoms based on the prompt information using a large model, generating a corresponding postoperative symptom report. The terminal device is configured to perform the following operations: sending the received diagnostic information to the server; and displaying the postoperative symptom report.

Techniques are disclosed for using prompt engineering and statistical root cause analysis (RCA) to increase the accuracy of machine learning RCA. In an example, a computing system generates a prompt for root cause analysis of an application-layer anomaly within system of elements across a plurality of layers. The prompt comprises a cross-layer topology graph of the elements across the plurality of layers, diagnostics information for the elements, and a list of the elements and corresponding diagnostics information ordered according to a likelihood of being a source of a root cause of the application-layer anomaly. The computing system provides the generated prompt to a machine learning model to obtain, based at least in part on the generated prompt, a response comprising the root cause of the application-layer anomaly. The computing system outputs the response.

This application provides an analytical device for the combined Toric intraocular lens implantation effect, relating to the technical field of intraocular lens scanning. It includes an intraocular lens scanner with a display screen fixedly mounted on its top. Multiple detection modules can detect the Toric intraocular lens implantation effect from multiple dimensions. A data analysis module integrates and intelligently analyzes this data, achieving a comprehensive and accurate assessment of the implantation effect and providing doctors with more accurate diagnostic information. The device can provide diagnostic suggestions and treatment plan references based on the data analysis results, helping doctors develop more scientific and personalized treatment plans and improve medical quality. The human-machine interface display screen and voice prompt module make the device simple and convenient to operate, and the detection process efficient. It reduces the professional threshold for operators, shortens the detection time, improves medical efficiency, and provides patients with a better medical experience.

This invention discloses a lossless compression method and system for medical images based on segmentation-guided background denoising, relating to the field of AI-assisted medical image diagnosis. The method involves inputting 3D medical image slices into a denoising and compression model for processing. A segmentation-guided denoising network divides the slices into regions and filters out background noise from these regions, resulting in denoised slices. A lossy image compression network then compresses the denoised slices to obtain lossy reconstructed slices. The lossy reconstructed slices and lossless slices are then input into a coarse-to-fine deformable alignment network for alignment, extracting contextual information between slices. The denoised slices are decomposed into multiple sub-images, and a spatial adaptive fusion network fuses the current sub-image with historical sub-images to generate spatial context priors. Based on the inter-slice contextual information and the spatial context priors, a lossless compression result is output. This method removes irrelevant background noise and achieves efficient data compression while maintaining the integrity of diagnostic information.

This application relates to a method, system, device, and medium for intelligent prescription generation in primary healthcare, belonging to the technical field of medical auxiliary diagnosis. The method includes: real-time collection and analysis of doctor-patient dialogue content to extract diagnostic information, including chief complaint information, present illness history, allergy history, and past medical history; extraction of key pathophysiological parameters based on the diagnostic information; generation of current treatment information based on the key pathophysiological parameters and filling it into a medical record template, the current treatment information including a set of diagnoses for the current visit and a set of treatment goals for each diagnosis; generation of a personalized prescription suggestion draft based on the current treatment information, and formation of a formal prescription after review and confirmation by a doctor; and a qualification review of the formal prescription, and generation of a personalized medication guidance sheet after approval. This application has the beneficial effect of alleviating the workload of primary healthcare doctors and improving prescription quality.

This invention relates to a method for diagnosing faults in field devices and to a field device. The method includes the following steps: - providing a field device (1), wherein the field device (1) includes a base module (2) and an edge device (20), wherein a data diode (21) is arranged in the data stream between the base module (2) and the edge device (20), wherein the edge device (20) is designed to send data from the base module (2) to the cloud (30); - checking the direction of the data stream in the data diode (21); - providing a data connection from the edge device (20) to the base module (2); - performing diagnosis in the event of a fault, creating diagnostic information, particularly logs, and sending the diagnostic information from the edge device (20) to the base module (2); - terminating the data connection between the edge device (20) and the base module (2); - evaluating the diagnostic information; and - deriving measures to eliminate the fault.

The application discloses a high-precision classification model with high explainability for medical text and a cause analysis method, and aims to solve the problems of low medical text data quality, insufficient multi-modal information fusion and lack of explainability of model decision in the prior art. The method comprises the following steps: cleaning and structuring the original medical examination report text; based on the corresponding medical image, using a multi-modal contrast learning model to mine potential diagnostic information in the image which is not recorded in the text, generating atomized clinical concepts and inserting them into the text to form an enhanced text report; and encoding the original text and the enhanced text into semantic features respectively and inputting them into a multi-layer perception classification model for disease risk prediction. The application significantly improves the classification accuracy through deep graph-text semantic alignment, and the word-level cause explanation provided enhances the clinical credibility of the model, thereby providing an efficient and reliable tool for auxiliary diagnosis.

This invention discloses an automated testing method and related equipment for in-vehicle buttons, relating to the field of automotive electronics technology, primarily addressing the problems of poor adaptability and low stability in current automated testing frameworks. The method includes: generating a test script based on test requirements, wherein the test requirements are used to perform interactive testing of the in-vehicle buttons, and the test script includes operation steps and corresponding initial strategies; executing test operations on the in-vehicle system based on the test script, wherein the test operations are performed based on the attribute location and / or image recognition of the in-vehicle buttons; and recording the execution log of the test operations to optimize the initial strategies of the operation steps, wherein the execution log includes process data and diagnostic information of the test operations. This invention is used for the automated testing process of in-vehicle buttons.

To enable the generation of text that accurately describes a patient's condition in an information processing device, method, and program. [Solution] The processor obtains one or more analysis results regarding the patient's medical image, obtains diagnostic information regarding the patient's diagnosis other than the analysis results, and generates medical text about the patient based on the analysis results and diagnostic information.

This invention discloses a measurement microcatheter and its control method, relating to the field of medical device technology. The measurement microcatheter includes: a tube body, the distal end of which is inserted into the in vivo tissue; the tube body includes a common pressure cavity and an opening; a mandrel, the distal end of which is equipped with an ultrasound probe; a pressure sensor connected to the proximal end of the tube body; and a liquid medium filling the space between the common pressure cavity and the mandrel, with the pressure sensor in contact with the liquid medium. This measurement microcatheter solves the problem that existing microcatheter technologies can only provide a single morphological or functional assessment. Specifically, during pressure measurement, the protrusion on the microcatheter where the pressure sensor is located can prevent the microcatheter from passing through severely narrowed areas within blood vessels. By combining ultrasound imaging with pressure measurement, it provides doctors with accurate diagnostic information. Furthermore, by connecting the pressure sensor to the proximal end of the tube body, the outer diameter of the portion of the tube body inside the patient's body is reduced, allowing the tube body to reach more distant locations within the blood vessel and lesions in finer vessels.

Battery cell diagnostic device comprising: at least one sensor; and a first control unit configured to receive data containing the voltage and / or current and / or temperature of a battery cell from which at least one sensor receives initial diagnostic information based on the received data, transmits the data to an external device, receives second diagnostic information of the battery cell based on the data from the external device, and diagnoses an abnormal condition of the battery cell based on the first diagnostic information and / or the second diagnostic information, wherein the first diagnostic information and the second diagnostic information contain information on diagnostic points that are diagnosed using various diagnostic procedures.

This technology provides a way for users who have undergone health checkups or stress checks to manage their diagnostic information in a way that suits them best. [Solution] The information processing device disclosed herein is an information processing device for managing the diagnostic information of a test-taker user. This information processing device comprises a control unit that performs processing for acquiring and managing diagnostic information, and a storage unit in which the diagnostic information is stored. The control unit has a first acquisition unit that acquires first diagnostic information including the diagnostic results of a test-taker user for a predetermined first diagnosis, and a provision unit that provides the acquired first diagnostic information to an organizational user. The first acquisition unit stores the first diagnostic information in a first database that is configured to be accessible to the test-taker user who has taken the first diagnosis. The provision unit provides the first diagnostic information to the organizational user by granting the organizational user access rights to the first diagnostic information stored in the first database.

The disclosure relates to a data reading system operable for obtaining and decoding data from items processed by a customer in a retail transaction, where the data reading system is further operable to identify an occurrence of a performance anomaly impacting operation of the data reading system and to communicate the performance anomaly to a user together with instructions for resolving the anomaly. The communication is presented to the user via a display and may include any of a video, audio, or text format to clearly communicate the details of the issue and the instructions for resolution.

This invention discloses a sensor-based method and system for detecting the tensile properties of plastic stretch film, relating to the field of sensor-based plastic stretch film tensile performance detection. It is used to accurately determine the source of film performance deviation, including: acquiring information on the film's deformation performance under controlled stretching, production line operating conditions, and raw material characteristics; when the deformation performance information deviates from a preset range, performing the following judgments: determining whether the deviation is caused by changes in production line operating conditions; if the deviation cannot be caused by changes in production line operating conditions, comparing the deviation of the deformation performance information with changes in raw material characteristics to determine whether the deviation is caused by changes in raw material characteristics; if the deviation cannot be caused by changes in production line operating conditions or raw material characteristics, determining that the deviation originates from the film's intrinsic quality; and outputting diagnostic information containing the source of the deviation based on the judgment results.

The application relates to an online detection system and method of a transformer multi-physical quantity integrated sensor. The system comprises a central control unit and a plurality of sensor acquisition modules, wherein the plurality of sensor acquisition modules are connected with the central control unit through a communication bus; the plurality of sensor acquisition modules at least comprise a partial discharge acquisition module for acquiring a transformer partial discharge signal, a vibration acquisition module for acquiring a transformer vibration signal and an oil chromatography acquisition module for acquiring a dissolved gas composition in transformer oil; the central control unit is used for acquiring monitoring data collected by the plurality of sensor acquisition modules, and performing correlation analysis and cross verification on the monitoring data from different sensor acquisition modules to generate comprehensive diagnostic information containing a transformer fault type, a transformer fault position and / or a transformer state evaluation result. The system can improve the detection accuracy of the transformer.

The application discloses a control system for anesthetic drug spraying device, which comprises a first data acquisition system (100) for collecting diagnostic information and first sign information of a patient, a second data acquisition system (400) for collecting second sign information of the patient, a data processing system (200) for generating control instructions, an anesthetic drug spraying device (300) for generating a drug administration scheme according to the control instructions and executing drug administration, a pre-alarm system (500) for monitoring drug administration safety, a rechecking system (600) and a display system (700) for displaying relevant data information. The control system for the anesthetic drug spraying device can judge whether there is a drug administration risk according to the signs of the patient, especially physiological signs and facial features, and can adjust the drug administration scheme in real time, thereby improving the safety and accuracy of drug administration.

The application discloses a kind of based on consultation result reverse quality control pathological department intelligent collaborative management method and system, belong to medical informatization and pathological quality control technical field.The method includes: establishing pathological case context data model;Receive external consultation result registration request, and according to pathology number or case unique identification, external consultation result is automatically associated to target pathological case, generates consultation record;In response to the generation of consultation record, automatically extract the initial diagnosis doctor identification and audit doctor identification corresponding to target pathological case, respectively generate the consultation evaluation task corresponding to initial diagnosis doctor and audit doctor;Consultation evaluation task is pushed to corresponding evaluation subject terminal, and when clicking task entry, target pathological case interface is automatically opened, while displaying original diagnosis information and external consultation result information.The present application can automatically convert static consultation result into pathological diagnosis reverse quality control process, improve quality control closed loop capability, evaluation timeliness and statistical analysis precision.

A method and apparatus for diagnosing kidney disease are disclosed. A control method for a diagnostic apparatus according to one embodiment includes the steps of acquiring a retinal image of a subject and acquiring kidney disease diagnostic information for the subject using a machine learning model based on the retinal image, wherein the machine learning model includes a first model and a second model, the first model being a neural network model and the second model being a regression-based machine learning model.

The application provides a fault code management method, device and equipment of a vehicle and a medium, comprising: configuring a corresponding function identifier value for each diagnostic event identifier; wherein diagnostic events sharing the same diagnostic fault code and having a function identifier value greater than a preset value belong to the same function group; when a diagnostic event processing request is received, determining whether the diagnostic event belongs to a function aggregation mode according to the function identifier value of the diagnostic event; if it belongs to the function aggregation mode, only storing a single diagnostic fault code record corresponding to the function group in the non-volatile memory, performing a bitwise OR operation on the real-time state bytes of the multiple diagnostic events belonging to the same function group based on the function identifier value to generate an aggregated state byte; and the aggregated state byte is used to represent the overall health degree of the function group. The logical aggregation of diagnostic information and the physical storage decoupling are realized, the storage overhead is greatly reduced on the premise of ensuring the information integrity, and the fault diagnosis efficiency and maintainability are significantly improved.