206 results about "Medical test" patented technology

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 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.

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 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 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 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 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.

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 relates to the technical field of medical equipment, in particular to a portable tray for medical examination, an anti-toppling mechanism comprises a mounting rack, the mounting rack is fixedly connected into a tray body, the upper end of the mounting rack is connected with a plurality of placing grooves at equal intervals in the length direction, grooves are formed in the two sides of the interior of each placing groove, and an anti-toppling mechanism is arranged in each placing groove. The upper end of the interior of each groove is rotationally connected with an extrusion plate, the bottom end of each extrusion plate is located outside the corresponding groove, each extrusion plate is fixedly connected with a spring, and one end of each spring is fixedly connected to the corresponding groove. A small bottle of reagent is inserted into the placement groove, the small bottle of reagent moves downwards to push and press the extrusion plate, the extrusion plate rotates towards the groove, the extrusion plate extrudes the spring in the rotating process, the spring generates elastic force after being pressed, and the elastic force generated by the spring pushes the extrusion plate, so that the extrusion plate is in extrusion contact with the small bottle of reagent; and the small-bottle reagent cannot topple over in the transferring process, and cannot collide with the tray body.

The utility model provides a novel medical kit, which belongs to the technical field of medical equipment and comprises a box body, the box body is hollow and is provided with an upward opening, a box cover is connected above the box body, a storage box is arranged on the upper surface of the box cover, and the box cover is connected with the storage box through a fixing component. The storage box and the kit are combined into a whole, so that reagents and corresponding calibrators can be placed together and are not in the same space, and the problem that the calibrators of all the reagents are difficult to find out when a medical worker uses too many inspection reagents is solved, so that the time is saved, the medical worker can use the reagents conveniently, and the use efficiency of the medical worker is improved. The calibration device is simple in structure and convenient to use, efficiency is improved, and when the calibration device is recycled after being used, the phenomena of misplacement, disordered placement and the like caused by a large number of calibration products are avoided, so that the condition of loss is prevented.

The utility model relates to the technical field of medical kits, in particular to a self-locking kit, which adopts the technical scheme that the self-locking kit comprises a kit body, a kit cavity is arranged in the kit body, a bracket hinged with the kit body in an overturning manner is mounted in the kit cavity, a plurality of accommodating grooves are formed in the end surface of one side, far away from a hinged end, of the bracket along the length direction, and the accommodating grooves are connected with the bracket. The side wall, close to the box cavity, of the support is provided with a notch groove which corresponds to the containing groove and penetrates through the containing groove, the bottom wall of the box cavity is provided with a protruding block corresponding to the notch groove in position, the surface of the protruding block is connected with a sliding limiting layer, the protruding block and the containing groove are matched to form a pipe cavity for fixedly containing reagent pipes, and a clamping piece is slidably connected into the side wall of the box cavity. The locking structure is arranged in the kit body and used for locking the support, the support is matched with the protruding blocks of the kit body through the containing grooves to fix and clamp the reagent tubes, the reagent tubes are prevented from sliding and falling off, stable containing of the reagent tubes is achieved, and storage and transportation of the reagent tubes are facilitated.

1. Name of the product in this design: Medical Detection Data Acquisition Device. 2. Purpose of this design: For collecting medical test samples. 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 belongs to the technical field of medical detection, and discloses a medical detection kit, which comprises a hinge-connected box body and a box cover, a plurality of placement jacks are arranged in a vertical array in the box body, a gas bag groove is horizontally arranged on one side of the same row of placement jacks in the box body, the gas bag groove is in communication with the placement jack and has an overlapping part, a limiting gas bag is arranged in the gas bag groove, a plurality of sliding grooves are formed in the box body, the sliding grooves are in communication with the gas bag groove and are perpendicular to each other, a strip-shaped pressing block is vertically and slidably arranged in each sliding groove, and a pressing column is fixedly connected to the inner side of the box cover and corresponds to the position of the strip-shaped pressing block. The placement jack and the limiting gas bag are staggered, when the box cover is closed, the pressing column presses the pressing block, the pressing block extrudes the limiting gas bag, the limiting gas bag is more full, the limiting gas bag is used for flexibly clamping the reagent tube in the placement jack, the clamping stability is better, the reagent tube is not easy to be damaged, and the kit has good shock buffering performance.

The application provides a medical test tube recognition device. The number of inductive pieces arranged on a test tube rack represents the size of the test tube. When the test tube rack slides on the sliding track from the first end of the sliding track to the second end of the sliding track, the first detection piece arranged on the base corresponding to the first end of the sliding track sends the corresponding number of inductive signals according to the number of inductive pieces. Thus, the size of the test tube can be determined according to the number of inductive signals, the classification and recognition of test tubes with different sizes are realized, the software function is simple, and the control processing requirement is low.

For autonomous MR scanning of a given medical test, a simplified MR scanner can be used without or with little input or control by a technical expert, e.g., by a physician, radiologist, or person trained in MR scanner operation. The MR scanner autonomously positions, scans, checks quality, analyzes, and / or outputs answers to diagnostic questions with or without MR images. Artificial intelligence-based scan analysis allows continuous or instant changes to the scan configuration to acquire the data desired to answer the diagnostic question. By using a simplified MR scanner, both the positioning of the patient relative to the MR scanner and the localization of the scan by the MR scanner are jointly solved. Sensors can sense the patient at the scan position, with reduced radio frequency requirements allowing a more open bore.

The utility model relates to the technical field of smear detection, and discloses a clinical medicine smear detection device which comprises a table top, a long-strip groove is formed in the position, close to the right side, of the middle of the top of the table top, an annular fixing block is fixedly connected to the inner wall of the long-strip groove, and a two-way threaded rod is in threaded connection with the interior of the annular fixing block. The right side of the bidirectional threaded rod is fixedly connected with a hand rocker, the left end and the right end of the outer wall of the bidirectional threaded rod are both in threaded connection with pushing blocks, second threaded holes are formed in the lower ends of the pushing blocks, and the inner walls of the second threaded holes are in threaded connection with the outer wall of the bidirectional threaded rod. According to the device disclosed by the utility model, a wafer is firstly placed between the two baffle columns, the hand rocker is shaken at the moment, and then the bidirectional threaded rod is driven to move until the wafer is clamped in the clamping ring, so that smearing operation can be carried out, and the effects that the wafer can be clamped through the clamping ring for smearing operation, and smearing failure caused by shaking during smearing is prevented are realized.

The application discloses a kind of medical inspection report multi-stage cascade processing method and system, wherein the method comprises: obtaining inspection report, and the original table data in the inspection report is cascade pretreated, and standardization table data is generated;Based on the standardization table data, structured index extraction is carried out, and structured index data is obtained, and the result value in the structured index data and reference range determine index state information;Based on the structured index data, generate basic information data and health advice text, wherein the health advice text is generated based on the index state information.The application effectively solves the problem that the expression of inspection report of different hospitals / equipment is quite different and cannot be aligned stably.

The utility model discloses a medical test tube brushing structure which comprises a hollow brushing cylinder, a cylinder body of the brushing cylinder is provided with a plurality of grooves, and brushes are arranged in the grooves. Small water outlet holes are formed in the groove; a clamping ring for clamping a reagent tube opening is arranged on a cylinder body of the brush cylinder, and the clamping ring is connected with the brush cylinder through a bearing; and a driving structure is arranged at one end of the brush cylinder. According to the utility model, the design of automatic cleaning is adopted, the device is clamped at the opening of the test tube, automatic cleaning can be carried out, meanwhile, water can be automatically discharged in the cleaning process, and the operation is faster and more convenient.

The utility model relates to the technical field of medical kits, in particular to a ready-to-use kit, which adopts the technical scheme that the ready-to-use kit comprises a kit body, a kit cavity is arranged in the kit body, a kit cover which is connected with the kit body in an overturning manner and is used for sealing the kit cavity is arranged above the kit body, and a placing plate is arranged in the kit cavity. A plurality of bottle cavities, a plurality of reagent tube cavities and test paper grooves are formed in the top surface of the placing plate, a reagent disc is connected to the inner side of the box cover, a bottom plate is arranged between the placing plate and the bottom wall of the box cavity, and two opposite clamping blocks are arranged in each bottle cavity. According to the kit disclosed by the utility model, the reagent disc is integrated in the kit cover, and a clean reagent detection platform is provided, so that the reagent detection operation can be immediately performed on the reagent disc after sampling in the use process of the kit, and the immediate reagent detection platform is provided by arranging the reagent disc; the influence on the detection result caused by inactivation due to overlong retention time of the sampled sample is avoided.