837 results about "Medical testing" patented technology

The invention relates to the field of medical examination data, and discloses a medical examination data sharing method based on cloud authentication, and the method comprises the following steps: carrying out the dynamic desensitization of original medical examination data at an edge node, and generating desensitization data meeting the privacy-utility balance; verifying the identity and authority of a request end user through a zero-knowledge proof protocol, and generating an authentication result bound with the privacy policy; performing hierarchical encryption on the desensitized data based on an anti-quantum attribute-based encryption algorithm to generate a ciphertext dynamically associated with the access attribute; and dynamically decrypting the data according to the real-time context parameters, and performing secondary desensitization processing in combination with an access scene. The technical scheme is optimized by adopting the dynamic desensitization and rate distortion theory, the technical effect of privacy-utility dynamic balance is achieved, and compared with the problems of fixed static desensitization rule and over-protection or under-protection in the prior art, the core defect that the method cannot adapt to the multi-scene data sharing requirement is overcome.

The invention discloses a health risk assessment method and early warning system based on multi-source data analysis. The health risk assessment method comprises the following steps: S1, collecting and preprocessing multi-source health data through medical detection equipment; s2, extracting key health indexes, sequence features and statistical features based on the health data set; s3, adopting a recurrent neural network model to construct a health risk assessment model; s4, optimizing structural parameters of the health risk assessment model by adopting an improved dragonfly algorithm; s5, performing performance evaluation on the health risk evaluation model by using the optimal parameter set; s6, deploying the final health risk assessment model in a health risk assessment and early warning system; and S7, when the health risk assessment result exceeds a preset risk threshold, automatically generating early warning information. According to the method, the recurrent neural network model, the improved dragonfly algorithm and the multi-source health data fusion optimization technology are combined, and health risk assessment and early warning based on multi-source data analysis are realized.

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.

The invention belongs to the technical field of data processing, and discloses a construction method and system based on a medical examination medical knowledge base and a medium. Comprising the steps that a basic medical data set is collected, data cleaning is conducted, and a structured medical data set is output; constructing a multistage medical dictionary and establishing semantic mapping with the structured medical data set to generate a standard medical data set; carrying out medical related entity extraction on the standard medical data set and establishing a semantic relationship of each medical entity to obtain a medical entity set; performing semantic alignment on the medical entity set to obtain a semantic alignment entity set; constructing a medical examination knowledge rule base and constructing an initial medical examination knowledge graph in combination with the semantic alignment entity set; performing entity association extension on the initial medical examination knowledge graph, and outputting an enhanced medical examination knowledge graph; real-time clinical data are collected, and the medical examination knowledge graph is updated and enhanced based on the real-time clinical data to obtain the medical examination knowledge base, so that convenience is provided for medical decision making and intelligent reasoning diagnosis.

The invention provides a specimen preparation device for medical examination, and belongs to the technical field of medical detection. Comprising an inspection equipment body, a camera is installed on the inner wall of the top of the inspection equipment body, a sampling machine is installed on the inner wall of the top of the inspection equipment body and on one side of the camera, a fixing frame is installed on the inner wall of the top of the inspection equipment body and on the other side of the camera, and a first alcohol storage box is installed on one side of the inspection equipment body; and a side frame is arranged on one side of the inspection equipment body and at the bottom of the alcohol storage box 1. The device is low in cost, man-machine interaction type use is adopted, the preparation efficiency is improved, meanwhile, the working intensity of inspection personnel is relieved, the manufactured specimens are uniform in tabletting degree, subsequent inspection is facilitated, meanwhile, the multiple sampling heads and the specimen tabletting assemblies are arranged, multiple specimens can be collected and subjected to tabletting and subsequent disinfection work at the same time, and the working efficiency is improved. And a plurality of samples can be compared conveniently, and meanwhile, high disinfecting and cleaning capacity is achieved.

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 detection, in particular to a sacroiliac arthritis judgment method and system based on X-rays, and the method comprises the steps of multi-modal data synchronous collection, image data real-time optimization and control, cross-modal causal reasoning and three-dimensional reconstruction, and AI-based lesion preliminary analysis and dynamic grading and interpretability report generation. According to the method, a real-time image processing technology is integrated in a data acquisition stage, an original image is directly and dynamically optimized at an imaging end, and the image resolution and the detail definition are improved through an advanced enhancement algorithm; the problems of delay and detail loss caused by relying on post-processing in a traditional method are solved, so that a doctor can obtain a high-quality diagnosis image in real time; by means of the optimization, the requirement for repeated shooting is reduced, and the availability and diagnosis efficiency of images are remarkably improved.

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.

1. The name of the product of this design: ultrasonic probe. 2. Purpose of this design product: used for ultrasonic 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 1.

The invention relates to the technical field of medical examination, in particular to a method for calculating the definition of a leukocyte microscopic image based on deep learning, which comprises the following steps: preparing and expanding a data set of the microscopic leukocyte image, outputting a clear image and a blurred image, and enabling each image to have a corresponding definition evaluation index; performing multi-feature fusion definition evaluation on the microscopic leukocyte image based on comprehensive evaluation calculation of a Sobel operator, a Laplacian operator and information entropy; accessing multi-feature fusion definition evaluation into a deep learning model, and building a definition evaluation model; the definition evaluation model is trained, and in the training process, parameters of the definition evaluation model are adjusted by optimizing a loss function; the trained definition evaluation model is deployed in an automatic microscope system, and the problems that definition evaluation is carried out on the whole view, the definition evaluation algorithm is limited, and cell nucleus and cytoplasm characteristics are not distinguished in the prior art are solved.

The invention provides an oscillation device for clinical medical examination, and relates to the field of medical equipment. The oscillation device for clinical medical examination comprises a barrel, a concave groove is formed in the inner wall of the barrel, a second rotating disc is rotationally connected into the concave groove, an upper fixing sleeve is fixedly connected to the middle of the bottom end of the second rotating disc, and a lower connecting block is fixedly connected into the upper fixing sleeve. A first rotating disc is fixedly connected to the bottom end of the lower connecting block, a turbine is fixedly connected to the outer side of the bottom end of the first rotating disc, a worm is meshed with one side of the turbine, and a first motor is fixedly connected to one side of the bottom end in the barrel. The two ends of the rotating rod are rotationally matched, so that the rotating rod can be pulled and pushed to shake the rotating column, the rotating column is rotationally connected with the top plate, an oscillator at the top end of the rotating column can be shaken, the vibration effect is completed through the structure, and the vibration effect is improved.

The invention discloses a simulation medical visualization system, method and equipment based on mixed reality, and belongs to the technical field of medical testing. The method comprises the following steps: establishing an internal organ structure of a virtual patient according to size information of a simulated person, positioning and overlapping internal organs of the virtual patient and internal organs of the simulated person, and establishing data intercommunication between the virtual patient and the simulated person; transmitting the cardiopulmonary compression data to a computer host, visually displaying the cardiopulmonary compression data, and synchronously transmitting the cardiopulmonary compression data to a control end and a display end; processing the modeling image data to obtain a modeling image evaluation value, processing the modeling performance data to obtain a modeling performance index, performing comprehensive analysis to obtain a modeling state evaluation value, and performing matching according to the modeling state evaluation value to obtain an allowable deviation cardiopulmonary compression quality evaluation value; analyzing according to the cardiopulmonary compression data to obtain a cardiopulmonary compression quality evaluation value, and appointing training content according to the cardiopulmonary compression quality evaluation value.

The utility model discloses a sampling device for medical examination, which comprises a sampler, a placing base for placing the sampler and a sampling rubber tube arranged at one end of the sampler, the inner wall of the sampler is in sliding connection with a piston, the top of the piston is fixedly connected with a pressing rod penetrating through the top of the sampler, and the top of the pressing rod is provided with a pressing plate. The outer side of the pressing rod is sleeved with a spring, one end of the spring is fixedly connected with the top of the piston, the other end of the spring is fixedly connected with the top of the sampler, the bottom of the sampler is in threaded connection with a connecting sleeve, a connector is arranged at one end of the connecting sleeve, a convex ring is integrally formed on the outer surface of one end of the connector, and a sampling rubber pipe is clamped to one end of the connecting sleeve. According to the utility model, the sampling rubber tube can be stably connected, no leakage in a sample transmission process is ensured, the risk of sample pollution is greatly reduced, cleaning and disinfection are not needed after single sampling, the time and labor cost of a disinfection link are reduced, and the inspection efficiency is improved.

This invention relates to the field of medical testing, specifically to a set of biomarkers, reagent kits, and their applications for diagnosing hypertension in children. This invention involves collecting tongue / intestinal samples from obese children with hypertension, obese children, and healthy individuals, performing metagenomic sequencing, and statistically analyzing the sequencing data using bioinformatics to identify disease-related tongue / intestinal flora. By integrating tongue / intestinal flora with disease information, a combination of flora biomarkers is obtained. A binary classification prediction model constructed using this combination can maximally detect hypertension in obese children.

The invention relates to the technical field of automatic medical detection, in particular to an automatic blood coagulation detection system which comprises a sample state regulation and control module, a light source balanced imaging module, a dynamic image extraction module, a reaction process quantification module and a risk trend identification module. According to the invention, through interval mapping of the sample concentration degree and the specific gravity value, dynamic parameters are screened in combination with temperature and pH feedback, precise regulation and control of sedimentation and component states are realized, the imaging stability is improved, a light source illumination angle and power are dynamically matched according to intensity distribution and boundary overlap ratio, and the brightness consistency is enhanced; in image acquisition, brightness and boundary offset are synchronously analyzed, a consistent region is extracted, image continuity and quantization precision are improved, a reaction trend is superposed based on a section sequence, time sequence judgment accuracy is enhanced, stable mapping is formed by combining track and sample feature classification, the anomaly recognition capability is improved, and a closed-loop detection process is constructed. And the detection stability and individualized adaptability are enhanced.

The invention discloses a cardiovascular detection method and system, and relates to the technical field of medical detection, and the main scheme is as follows: collecting multiple items of data of a person to be detected; respectively calculating a heart beat frequency evaluation value, a heart rhythm index, a blood pressure abnormity reference value and a pulse wave conduction speed based on the multiple items of data, further obtaining a cardiovascular comprehensive index, and presetting a threshold value to judge whether the cardiovascular system is in a risk state or not; calculating a cardiovascular reserve index, further calculating a cardiovascular health index, and presetting a threshold value to judge a cardiovascular health level; according to the method, the cardiovascular state can be comprehensively and systematically evaluated, risks can be found in time, health levels can be distinguished, and a powerful basis is provided for prevention and diagnosis of cardiovascular diseases.

The invention relates to the technical field of medical examination, in particular to a sectional urine sampling device applicable to medical examination, which comprises a urine sampling module, the urine taking module is divided into a urine dividing mechanism, a flow dividing mechanism, a sampling mechanism and a processing mechanism which are sequentially distributed from top to bottom, an operation panel is installed at the top of the urine dividing mechanism, the outer side of the urine dividing mechanism is communicated with a disinfection pipe, the other side of the disinfection pipe extends into the disinfection box to be communicated with a pump body, and the pump body is arranged in the disinfection box containing disinfectant; the outer side of the urine distribution mechanism is also fixedly connected with a slow air suction mechanism for exhausting air and a horizontally arranged hanging frame; the whole section of urine can be completely collected through the arranged urine taking module, the whole section of urine can be automatically divided into the front section of urine, the middle section of urine and the rear section of urine when the urine is discharged into the urine dividing mechanism, then the urine in the optimal time period is selected according to the actual situation, and it is ensured that detection data are accurate.

The invention discloses a case misdiagnosis identification method and device and a storage medium, relates to the technical field of medical technology and machine learning, and discloses the steps that multi-source heterogeneous medical detection data of a to-be-identified case and a disease diagnosis result and a treatment strategy of a doctor on the to-be-identified case are acquired; based on the multi-source heterogeneous medical detection data, the disease diagnosis result and the treatment strategy, diagnosis and treatment path matching is conducted on a pre-constructed typical disease knowledge base, the corresponding diagnosis and treatment path deviation degree is obtained, and the typical disease knowledge base comprises multiple disease entries and reference diagnosis and treatment paths corresponding to the disease entries; and inputting the multi-source heterogeneous medical detection data, the disease diagnosis result, the treatment strategy and the diagnosis and treatment path deviation degree into a misdiagnosis recognition model, and performing misdiagnosis recognition on the to-be-recognized case based on the misdiagnosis recognition model to obtain a corresponding misdiagnosis recognition result, thereby solving the technical problem of low misdiagnosis recognition accuracy of the actual diagnosis and treatment path of the case in the prior art, and improving the accuracy of the misdiagnosis recognition. And the misdiagnosis identification accuracy is improved.

The utility model discloses a sample collector for medical examination, which relates to the technical field of medical examination and comprises a lower tube body, an upper tube body inserted into the lower tube body and a sampling component arranged in the upper tube body. The lower pipe body is a hollow pipe body with an opening in the upper portion, the upper pipe body is a hollow pipe body which is arranged in a vertically-through mode, a conical puncturing end is arranged at the end, inserted into the lower pipe body, of the upper pipe body, and a sealing film is arranged at the position, located on the lower portion of the conical puncturing end in the initial state, of the lower pipe body. A sample treatment liquid is packaged between the sealing film and the end part of the lower tube body; according to the utility model, through the matching design of the sealing film and the conical puncturing end, the sample treatment liquid is in a completely sealed state before collection, the puncturing operation is realized through the linear movement of the upper tube body, no extra tool is needed, and the operation is convenient; the first limiting ring and the second limiting ring are matched with the detachable supporting assembly, the fixed distance between the upper pipe body and the lower pipe body is kept in the initial state, and it is ensured that the structure is stable during sampling.

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 discloses a group of pyemia specific biomarkers and application thereof, and belongs to the field of medical detection.The biomarkers are formed by combination of alpha 1-microglobulin / Bikunin precursor protein and one or more of antithrombin III protein, apolipoprotein A1 or apolipoprotein H, according to the invention, seven core proteins, namely APOA1, APOH, AMBP, SERPINC1, F2, FGG and FGB, are screened from TMT proteomics of serum of a clinical hemorrhagic patient, and four more important proteins, namely APOA1, APOH, AMBP, SERPINC1, F2, FGG and FGB, are obtained by further screening the seven proteins in a hemorrhagic cell model and the clinical hemorrhagic patient. The four proteins are verified again in serum of a hemorrhagic mouse animal experiment and an expanded-scale clinical hemorrhagic patient, and the potential of the four core proteins as serum biomarkers for early diagnosis of hemorrhagic disease is determined.

The invention discloses an intelligent respiratory disease detection system based on lung function measurement indexes, and relates to the technical field of intelligent medical detection. The problems that diagnosis standards are not uniform and depend on experience, primary doctors are prone to missed diagnosis or misdiagnosis due to insufficient experience, and the efficiency of the detection process is low are solved. According to the method, a machine learning model is constructed based on lung function indexes, parameters are optimized through five-fold cross validation, automatic classification of asthma, COPD and ILD / DPLD is achieved, the overall diagnosis accuracy rate reaches 81.3%, the limitation that traditional diagnosis depends on doctor experience is broken through, and the basic medical diagnosis capacity is especially improved. Healthy people are rapidly eliminated through the FVC / FEV1 ratio, invalid calculation is reduced, meanwhile, multi-model weighted fusion is adopted for complex cases, diagnosis robustness is improved, it is ensured that diagnosis results conform to medical logic, the recognition degree of doctors is enhanced, a data basis is provided for clinical research and curative effect tracking, and respiratory disease diagnosis is promoted to develop towards the direction of automation and precision.

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 relates to the technical field of intelligent specimen management methods, in particular to an intelligent specimen management method and system for medical examination, and the method comprises the following steps: building a specimen storage information database; environment parameters of the specimens in the transportation process are updated in real time; based on the updated environmental parameters, intelligently predicting the transportation risk of the specimen by using a progressive risk prediction algorithm, and verifying whether the specimen meets the detection requirements or not; state detection is carried out on the specimens meeting the detection requirements, image information and / or video information of the specimens are / is obtained and used for further inspection of the specimens, intelligent assessment can be carried out on the transportation risk of the specimens through a progressive risk prediction algorithm, multi-level risk assessment is achieved, and the risk assessment efficiency is improved. Particularly, through superposition and complementation of a self-adaptive nonlinear risk function, risk curvature analysis, entropy weight optimization and other methods, the algorithm still keeps high adaptability and foresight under different environment changes.

The utility model discloses a stacking type medical examination specimen collecting frame, relates to the technical field of medical examination, and comprises a collecting frame I and a collecting frame II, the collecting frame I is located above the collecting frame II, the structure of the collecting frame I is completely consistent with that of the collecting frame II, the collecting frame I comprises a connecting rod, and the connecting rod is connected with the collecting frame II. Guide rail frames arranged in a mirror image mode are fixedly installed on the left side and the right side of the front end of the connecting rod correspondingly, vertical rods are fixedly installed at the bottoms of the two guide rail frames correspondingly, positioning frames are fixedly installed at the bottom ends of the vertical rods correspondingly, and clamping fixing strips are fixedly installed at the tops of the two guide rail frames correspondingly. According to the test tube collecting frame, the guide rail frame, the clamping fixing strip and the positioning frame are matched, so that the first collecting frame and the second collecting frame can be stacked up and down and can be continuously stacked upwards according to needs in the same manner, the placing space of the collecting frames is greatly saved, the placing area is smaller after test tubes are collected and stored by the collecting frames, and the collecting frame is convenient to use. An inspector does not need to repeatedly move to take the test tube.

The invention provides a folic acid quality control product prepared by using an alternative matrix, and belongs to the technical field of medical detection. The folic acid quality control product is prepared from 5-methyltetrahydrofolic acid, 5, 10-methylenetetrahydrofolic acid and a substitute matrix, the alternative matrix comprises bovine hemoglobin, L-ascorbic acid and a glycine-hydrochloric acid buffer solution (pH 3.0). The alternative matrix can meet the matrix effect requirement and can stabilize the 5-methyltetrahydrofolic acid and the 5, 10-methylenetetrahydrofolic acid for a long time, and the matrix components can be obtained from commercial ways and are low in cost, so that the folic acid quality control product provided by the invention can be widely applied to production and use of folic acid detection reagents or kits, and has wide application prospects. The folic acid detection kit has important significance on market popularization and application of the folic acid detection kit.