341 results about "Medical test" patented technology

A system including a processor and memory coupled to the processor. The memory stores a local testing database having a test configuration profile with the test configuration profile having an intensity threshold value denoting a positive test result. The system includes a carrier for receiving a cassette containing a lateral flow assay (“LFA”) strip and a display screen coupled to the processor for displaying LFA test results. The system has an LFA strip reader coupled to the processor for reading the LFA strip regardless of alignment of the cassette within the carrier and transmitting an LFA strip image to the processor and determines an LFA test result based on comparing a measured intensity value of a portion of the LFA strip image to the intensity threshold value. The processor provides the LFA test result on the display screen.

A system having a processor and memory coupled to the processor is provided. The memory stores a central testing database having a plurality of test configuration profiles and a central patient database. A first communications interface coupled to the processor receives a request from a test device for at least one of the plurality of test configuration profiles and sends the requested test configuration profile to the test device. The first communications interface also receives a test result collection instance from the test device. The processor is configured to store the test result collection instance in the central patient database.

A system having a processor and memory coupled to the processor is provided. The memory stores a local testing database having a test configuration profile with the test configuration profile having an intensity threshold value denoting a positive test result. The system includes a carrier for receiving a cassette containing a lateral flow assay (“LFA”) strip and an LFA strip reader coupled to the processor for reading the LFA strip regardless of alignment of the cassette within the carrier and for transmitting an LFA strip image to the processor. The processor determines an LFA test result based on comparing an intensity value of a portion of the LFA strip image to the intensity threshold value and provides the LFA test result on an indication panel.

The invention provides a medical examination data analysis system and method based on artificial intelligence. The method comprises the steps of obtaining a time sequence data matrix of multiple examination indexes of a target patient at different time nodes through medical examination data of the target patient; labeling pathological labels of various examination indexes in the medical examination data, and determining medical semantic association features among different examination indexes of the target patient through the pathological labels; according to the medical semantic association features and the time sequence data matrix, determining a time sequence association relationship of different inspection indexes of the target patient on a pathological level, and generating a fusion feature vector of the health state of the target patient according to the time sequence association relationship; and an abnormal evolution feature of the current health state of the target patient is obtained by combining an abnormal detection model with the fusion feature vector, and then an auxiliary analysis result of the pathological risk of the target patient is output to medical personnel. By adopting the scheme of the invention, the dynamic change trend analysis of the disease course risk state of the patient can be realized based on the medical semantic perception ability.

An apparatus for the generation of a medical report is disclosed. The apparatus includes at least processor and a memory communicatively connected to the processor. The memory instructs the processor to receive a user query. The memory instructs the processor to receive a user profile comprising a plurality of medical tests. The memory instructs the processor to generate testing data as a function of the plurality of medical tests using an encoder. The memory instructs the processor to generate textual data that is representative of the testing data using a querying transformer model (Q-former). The memory instructs the processor to generate a medical report as a function of the user query and the textual data using a report large language model (LLM).

The invention discloses a traditional Chinese medicine intelligent diagnosis and treatment and health management system based on big data, and relates to the technical field of traditional Chinese medicine informatization, and the system comprises a multi-source data collection and integration unit, a big data analysis and mining unit, and an intelligent diagnosis and treatment and health management service unit. The built-in functions of the multi-source data acquisition and integration unit comprise data sources and data integration, the data sources comprise clinical medical record data, health monitoring data, ancient medical registration literature data and modern medical examination data, and the data integration comprises data cleaning, data standardization and data fusion; the built-in functions of the big data analysis and mining unit comprise disease and syndrome type correlation analysis, prescription curative effect evaluation and optimization, personalized health management analysis and medicine research and development auxiliary analysis, and the operation steps of the disease and syndrome type correlation analysis comprise feature extraction, machine learning modeling and model evaluation and optimization.

The invention relates to the technical field of medical examination, and discloses an oscillation mixer for a medical examination sample, which comprises a device body, an oscillation part arranged in the inner cavity of the device body and used for oscillating a test tube placing part, and a test tube fixing part arranged on the test tube placing part, the height adjusting part is arranged on the surface of the test tube fixing part. According to the oscillating mixer for the medical examination samples, through the arrangement of the reciprocating rotating assembly and the reciprocating up-down assembly, the bearing base plate on the inner side of the circular fixing base rotates back and forth and oscillates up and down, and it can be ensured that the samples are evenly distributed in a test tube in the horizontal direction through back-and-forth rotation; and the vertical knocking vibration is beneficial to the mixing of the sample in the vertical direction, the possible layering or precipitation phenomenon is further broken, and meanwhile, the dual oscillation mode can accelerate the dissolving process, so that the medical test sample can reach the required concentration more quickly, and the experiment time is shortened.

The invention relates to the related technical field of clinical data analysis, in particular to a clinical medical examination data classification system and method based on big data analysis, a man-machine interaction module is used for extracting and displaying a data classification result of a user, providing a Web / mobile terminal interface and supporting examination data uploading, classification result visualization and report exporting; the data processing module is used for realizing data cleaning (denoising and missing value filling), standardization (LOINC coding mapping) and feature extraction; the intelligent classification module integrates a random forest and an SVM algorithm model and supports automatic classification of inspection items; the database module is used for storing user information, clinical medical examination data of the user, historical clinical medical examination data, a clinical medical examination knowledge graph, clinical medical examination keywords, model metadata and a data classification result; the intelligent classification system for clinical medical examination data can significantly improve medical efficiency and decision quality through standardized integration and AI analysis.

The invention discloses an examination result evaluation system in the technical field of medical examination evaluation. The system comprises a physiological dynamic recognition module, a critical state interpretation module, a process efficiency optimization module, a health trend prediction module, an examination accuracy improvement module, a result interpretation optimization module, a potential pathology mining module and a health evaluation comprehensive module. According to the method, the depth and the breadth of medical examination and evaluation are remarkably improved by introducing technologies such as a nonlinear dynamic model, fuzzy logic and a machine learning algorithm. Firstly, the application of the physiological dynamic recognition module enables the analysis of time sequence data to be more accurate, and subtle changes of physiological behaviors can be revealed, so that the capability of early recognition of diseases is improved. The introduction of the fuzzy logic shows higher flexibility and accuracy in the aspects of uncertainty and fuzziness of processing test results, and particularly provides finer support for medical decision making in the aspect of judgment of boundary values and critical states.

Method, system, apparatus, and computer-readable media for reporting an automated medical opinion, including receiving, via a user interface, patient medical history, diagnostic tests, and current symptoms for a user; identifying, as automated output from a trained model, a diagnostic assessment including one or more of a medical diagnosis, a recommended medical treatment, or an recommended diagnostic medical test based on the patient medical history, diagnostic tests, and current symptoms received via the user interface; sending a report to the user based on the diagnostic assessment; receiving, via a feedback loop, feedback for the diagnostic assessment reported to the user; and updating the trained model based on the feedback.

The invention relates to the field of artificial intelligence medical treatment, in particular to an AI-driven clinical decision tree dynamic evolution training system, which comprises a multi-source medical data acquisition module which is responsible for acquiring medical images, medical examinations, biomarkers, pathological images and clinical information data, a clinical decision path data pool receives and structurally processes the data, and an AI-driven clinical decision tree dynamic evolution training module is established; a training data set is formed, a topological mapping space construction module constructs a high-dimensional topological space based on the data set to represent a clinical decision path, a multi-order progressive evaluation module performs multi-dimensional performance evaluation on the decision path mapped to the high-dimensional space, and a decision path training and analysis module optimizes the decision path according to an evaluation result. The optimized model is stored in a decision path library and forms a training feedback cycle with a clinical decision path data pool, and high-dimensional expression of a complex medical relationship is realized through a topological mapping space construction module, so that the diagnosis capability of the model on multi-cause and multi-symptom diseases is remarkably improved.

The utility model belongs to the technical field of injection molds, and discloses a medical kit injection mold which comprises a fixed mold component and a movable mold component which do relative reciprocating motion, the movable mold component comprises a mold core part and a limiting piece, the mold core part forms a guide groove in the moving direction of the mold core part, and the side, facing the mold core part, of the fixed mold component sinks inwards to form a mold cavity. The limiting piece is fixed to any position of the guide groove, the depth of the mold core part inserted into the mold cavity is limited through the limiting piece, a forming cavity is formed between the mold cavity and the mold core part, a material injection hole for injecting raw materials into the forming cavity is formed in the mold core part, the fixed mold component comprises a mold shell, and the mold cavity is formed in one side of the mold shell. By adjusting the position of the limiting piece on the die head part, after the die head part is inserted into the die cavity, the depth of the die head part inserted into the die cavity is adjusted, so that the specification of the medical kit produced by the device is variable, the specification of the kit can be adjusted according to requirements, and the device can be used in different use scenes.

The invention belongs to the technical field of sample inspection, and particularly relates to a medical inspection sample mixing device which comprises a mixing cabin, an equipment base, a driving mechanism, a transmission system and a carrier. Through an innovative dual-mode mixing mechanism, centrifugal mixing and three-dimensional mixing are combined, and meanwhile, a real-time dynamic fluid balance technology is matched, so that the key pain points of non-uniform mixing, poor adaptability, large vibration during high-speed operation and the like of traditional mixing equipment are solved; the convenience and reliability of operation are further improved by self-adaptive test tube fixing and mechanical mode switching, and finally, an efficient, stable, uniform and safe mixing solution is provided for various medical test samples.

The invention belongs to the field of medical examination equipment, and provides a medical examination sampling device and a use method.The medical examination sampling device comprises a sampling table, a fixed baffle is fixedly installed on the edge of the upper surface of the sampling table, an operation window is formed in the bottom of one end of the fixed baffle, and a fixed groove is formed in the middle of the top end of the sampling table; the conveying mechanism comprises supporting rollers, the supporting rollers are symmetrically and rotationally installed on the two side edges of the inner wall of the fixing groove, the outer surfaces of the supporting rollers are sleeved with a conveying belt, a stepping motor is installed in the middle of one end of each supporting roller, positioning assemblies are arranged on the outer surface of the conveying belt at certain intervals, and limiting clamping pipes are installed on the portions, in the positioning assemblies, of the outer surface of the conveying belt. By means of the automatic separating and collecting structure (the connecting rotary disc, the fixing clamping sleeve and the collecting box), non-contact recycling of blood sampling parts is achieved, direct contact between medical workers and blood samples and sharp tools is reduced, and occupational exposure risks are remarkably reduced.

The invention provides a deployment method, device and system for a specific detection model in a medical scene, is used for carrying out localized deployment on a mature medical examination model in a hospital, specifically combines a container deployment technology and a container arrangement technology, provides corresponding model calling services for medical personnel more conveniently, efficiently and safely, and improves the medical examination efficiency. Dual requirements of data security compliance and model real-time calling can be effectively balanced, a safe, extensible and high-reliability operation platform is provided for actual landing of a digital algorithm, external dependence is greatly reduced, and the real-time performance of the digital algorithm is improved. The method provides possibility for rapid verification and iterative algorithm of hospital informatization departments and researchers in a clinical environment, achieves intelligent medical assistance of closed-loop, safe, controllable and efficient optimization in a hospital, has large-scale popularization value, and provides robust AI technical support for various clinical diagnosis, inspection analysis and scientific research work.

The invention discloses a non-alcoholic fatty liver intestinal microbial marker, application of the non-alcoholic fatty liver intestinal microbial marker and a method for constructing a non-alcoholic fatty liver detection model, and belongs to the technical field of biomedicine. The method comprises the following steps: extracting intestinal microorganisms related to the non-alcoholic fatty liver disease, establishing a random forest model for diagnosing the non-alcoholic fatty liver disease through a non-alcoholic fatty liver disease intestinal microorganism marker, and evaluating to obtain a non-alcoholic fatty liver disease detection model; according to the method provided by the invention, differential bacteria of the non-alcoholic fatty liver patient and a healthy control can be identified more accurately, so that the accuracy of early auxiliary diagnosis of the non-alcoholic fatty liver is improved, personalized treatment can be carried out on the non-alcoholic fatty liver patient through the ROC curve and the marker bacteria, and the accuracy of early auxiliary diagnosis of the non-alcoholic fatty liver is improved. And expensive medical tests and unnecessary medical intervention can be reduced, so that medical resources are saved.

The utility model relates to the technical field of medical test instruments, and discloses a tissue sample shearing device which comprises connecting rods symmetrically hinged to the bottom of a base. The sliding block is hinged to the bottom of the connecting rod; the sliding rod is connected to the sliding block on one side in a penetrating manner; the spring is fixedly connected between the supporting column and the sliding block, and the sliding rod is sleeved with the spring; the bottom plate is fixedly connected to the bottoms of the supporting columns; the fixing mechanism is arranged on the top of the base. Firstly, the cover body and the tank body are fixed above the base through the fixing mechanism, the tank body is prevented from inclining when the smashing mechanism is started, then the tissue sample is smashed through the smashing mechanism, vibration generated when the smashing mechanism is started is transmitted to the connecting rod through the base, and the connecting rod downwards extrudes the sliding block; after being extruded, the sliding blocks slide towards the outer side on the sliding rods at the same time, the sliding blocks extrude the springs, the springs absorb vibration transmitted by the base after being deformed, vibration of the tank body is reduced, and the stability during tissue sample smashing is improved.

The invention discloses a medical examination index reduction method based on rough set positive domain and information entropy synthesis, is suitable for high-dimensional data attribute reduction and knowledge discovery in scenes such as medical data analysis, and provides a new reduction strategy by fusing two perspectives of a rough set theory and an information theory method. The comprehensive importance degree of the attributes is obtained through a weighted average mode, and the weight is determined by the ratio of the positive domain to the boundary domain. Iterative reduction is carried out according to the comprehensive importance, deterministic and non-deterministic elements are reasonably considered, the problem of feasibility of attribute reduction of a large-scale fuzzy information decision system is solved, and a more accurate reduction set is obtained. Key diagnosis indexes are conveniently focused, the diagnosis efficiency and accuracy are improved, the clinical interpretability is enhanced, unnecessary detection items are reduced, and the effects of optimizing data, improving the diagnosis efficiency and saving the medical cost are achieved.

An apparatus for the generation of a medical report is disclosed. The apparatus includes at least processor and a memory communicatively connected to the processor. The memory instructs the processor to receive a user query. The memory instructs the processor to receive a user profile comprising a plurality of medical tests. The memory instructs the processor to generate testing data as a function of the plurality of medical tests using an encoder. The memory instructs the processor to generate textual data that is representative of the testing data using a querying transformer model (Q-former). The memory instructs the processor to generate a medical report as a function of the user query and the textual data using a report large language model (LLM).

A method for determining the error associated with results, such as medical test output, machine-learning or artificial intelligence predictions and classifications, financial predictions, and engineering models, is disclosed. These results are calculated using population-level data and individual-level data. The results can be communicated and used to generate actionable reports and data for use in connection with decision support tools. These data can be used to determine if a test result is likely to be correct or incorrect, and whether the test should be accepted, repeated, or supplemented with another test / analysis. This determination can be made using decision rules and analyses which can be organized to provide explainability of the status of the results were determined to be true, false, or other state.

The invention relates to the technical field of medical test equipment. The invention discloses an exercise cardiopulmonary test breathing gas separation device and a use method, the top end, the left end and the right end of a breathing separation test mask are each provided with an elastic bandage for helping the breathing separation test mask to be fixed to the head of a user, and the end, not connected with the breathing separation test mask, of each elastic bandage is provided with an insertion buckle; a first plug is vertically arranged at the top of the adjusting box, the first plug is in sliding connection with the top of the adjusting box in the vertical direction, two second plugs are symmetrically and horizontally arranged at the left end and the right end of the adjusting box, the two second plugs are in sliding connection with the left end and the right end of the adjusting box respectively, and a real-time tightening device is arranged in the adjusting box; according to the device, on the premise that the wearing comfort is guaranteed, the wearing tightness between the testing equipment and the head of the user is adjusted in real time according to the running speed of the user, and therefore the effect that the wearing comfort and the head fitting degree are mutually balanced is achieved.

The invention relates to a medical test paper production process tracing method and device. The medical test paper production process tracing method comprises the steps of obtaining raw material quality information, generating a corresponding first tracing record, formulating a production process, obtaining production information of each unit step in the production process, and generating a corresponding second tracing record. Obtaining production environment quality information, generating a corresponding third traceability record, and generating a corresponding fourth traceability record according to the calibration result feedback information and the maintenance result feedback information; formulating a finished product inspection process, and generating a corresponding fifth tracing record; the raw material quality information, the production flow information, the production environment quality information, the equipment calibration flow information and the finished product inspection flow information are acquired, and the corresponding tracing record is generated in each step, so that comprehensive tracing of the whole production process is realized, and improvement of the product quality, the compliance and the production management level is facilitated.

The utility model relates to a portable LIPUS ultrasonic pulse therapeutic apparatus. The therapeutic apparatus comprises a shell, a unit circuit in the shell, a touch panel on the shell, a voltage sampling circuit interface located at one end of the shell and a plurality of ultrasonic probe interfaces located at the other end of the shell. Wherein the touch panel, the voltage sampling circuit interface and the ultrasonic probe interface are electrically connected with the unit circuit respectively. The LIPUS therapeutic apparatus has the advantages that by establishing the LIPUS energy conversion model and by means of the high-frequency electronic technology and the embedded software technology, multi-parameter adjustment of the frequency, the sound intensity and the pulse mode of the LIPUS therapeutic apparatus can be achieved, support is provided for clinical medical tests of LIPUS treatment, proper LIPUS treatment parameters can be selected for different symptoms, and the LIPUS therapeutic apparatus can be used for treating different symptoms. The method has important theoretical research and medical application values.

The invention belongs to the technical field of medical data intelligent processing, and particularly discloses a medical data processing system based on dynamic mapping knowledge domain and multi-agent collaboration, which comprises a central scheduling engine and a plurality of agents, the central scheduling engine is used for receiving a user request; decomposing the request into tasks through semantic analysis, constructing a directed acyclic graph, and performing task scheduling on a plurality of agents; the picture analysis agent is used for generating inspection index data corresponding to the medical inspection report picture through a cross-modal fusion model based on the medical inspection report picture; the structured data analysis agent is used for updating the medical knowledge graph based on the inspection index data; and reasoning the inspection index data in a thinking chain mode to obtain an analysis result. According to the invention, through unified scheduling of the central scheduling engine and cooperation among the intelligent agents, diversified requests can be efficiently processed, and meanwhile, the analysis accuracy of the medical examination report can be ensured.

The invention relates to the field of intelligent medical diagnosis, in particular to a wearable intelligent urinalysis method, device and system and a wearable urinalysis instrument. According to the intelligent urinalysis method, the urinalysis instrument is worn on a patient by using a wearable design, urination and urine collection rules are judged through a sensing technology and an algorithm, basic conditions of urine are preliminarily detected by using a near-infrared technology, visible components of the urine are secondarily detected by using an image processing technology, and an upper computer is combined for contrastive analysis, so that an intelligent urinalysis result is obtained. And the result of the urine test of the patient is obtained and displayed in the wearable device, so that urine test of non-hospital patients such as home nursing or nursing homes is facilitated, the convenience of urine test of the non-hospital patients is improved, medical test resources are optimized, meanwhile, early recognition of patients with abnormal urinary tract indexes is greatly improved, and the accuracy of urine test is improved. And dynamic tracking can be realized and can be used as a reference basis for internet diagnosis and treatment.

The present invention discloses a medical test index simplification method based on the combination of rough set positive domain and information entropy, which is suitable for high-dimensional data attribute simplification and knowledge discovery in scenarios such as medical data analysis. By integrating the two perspectives of rough set theory and information theory methods, a new simplification strategy is proposed, which obtains the comprehensive importance of attributes by weighted average, and its weight is determined by the ratio of the positive domain to the boundary domain. It performs iterative simplification according to the comprehensive importance, reasonably takes into account the deterministic and non-deterministic elements, solves the feasibility problem of attribute simplification in large-scale fuzzy information decision-making systems, and obtains a more accurate simplified set. It is convenient to focus on key diagnostic indicators, improve diagnostic efficiency and accuracy, enhance clinical interpretability, reduce unnecessary test items, and play a role in optimizing data, improving diagnostic efficiency, and saving medical costs.

The application relates to the fields of artificial intelligence and digital medicine, and proposes a deep learning model self-adaptive testing method based on artificial intelligence and related equipment.The method comprises the following steps: obtaining a deep learning model and test data, the deep learning model can obtain feature representation and classification results of any test data; a first data set for storing the feature representation and the classification results is created; real-time test batches are input into the deep learning model to obtain real-time feature representation and real-time classification results of the test data; the first data set is queried based on the real-time feature representation to construct a feature consistency loss; proxy feature representation of each category in the first data set is calculated to construct a feature uniformity loss; the deep learning model and the first data set are updated based on the feature consistency loss and the feature uniformity loss; and the self-adaptive testing of the deep learning model is completed until a preset condition is met. The application can improve the precision of the deep learning model applied to the field of digital medicine on medical test data.

1. The name of the product of this design: Medical test collector. 2. Purpose of this product with design: This product with design is used for collecting samples for medical testing. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: Stereoscopic diagram 2.

The invention discloses a physical examination report interpretation method and device based on knowledge distillation. The method relates to the technical field of artificial intelligence, and comprises the following steps: obtaining a to-be-interpreted target physical examination report from a target queue; performing standardization processing on data in the target physical examination report through a classification model in a first container instance to obtain a medical examination data set with examination items as categories; performing abnormal index identification on the medical examination data set to obtain abnormal index data, and processing the medical examination data set through a medical entity identification model in a second container instance to obtain a medical entity set, and processing the medical entity set and the abnormal index data through an interpretation model in a third container instance to obtain an interpretation result. According to the method and the device, the problem of relatively low efficiency of interpreting the physical examination report due to the fact that the physical examination report is interpreted depending on manual professional knowledge in related technologies is solved.

The utility model discloses an injection molding device for producing medical kits, which comprises an injection molding main body, an electric telescopic rod fixedly connected inside the injection molding main body, a supporting seat fixedly connected to the upper end of the electric telescopic rod, an injection molding tank fixedly connected to the upper end of the supporting seat, and a delivery pump connected to the lower end of the injection molding tank. The lower end of the conveying pump is fixedly connected with a conveying pipe, the lower end of the conveying pipe is fixedly connected with an injection molding head, the outer wall of the conveying pipe is connected with an upper injection molding template, the upper end of the upper injection molding template is connected with a heating box, and the upper end of the heating box is connected with a heating rod. Through the arrangement of a heating rod, a pressurizing pump and a pressurizing pipe, the injection molding head can be heated and subjected to heat preservation, so that the situation that the temperature of the injection molding head is reduced, consequently, injection molding materials are dried and solidified is prevented, the kit processing and production efficiency is high, and the purposes of solving problems and improving practical value are achieved through the technology.