22results about How to "Avoid missed diagnosis" patented technology

The invention provides a clinical auxiliary decision-making method based on artificial intelligence and a related product, and the method comprises the steps: building a knowledge graph covering medical entities and relationships through learning authoritative medical data and medical records; a doctor inputs patient information, and data standardization and cleaning are carried out; based on the multi-dimensional information of the patient, recommending suspected diagnosis and differential diagnosis; recommending a preset examination scheme according to the suspected diagnosis and differential diagnosis results; when a doctor's advice is issued, the system checks conflicts between inspection and inspection items in real time and provides risk prompts; similar medical records are recommended based on patient clinical information, and diagnosis and treatment reference is provided for doctors. The clinical aid decision-making method based on artificial intelligence and related products have the beneficial effects that the disease list of suspected diagnosis and definite diagnosis is generated by automatically analyzing the illness state of the patient, and examination, inspection and treatment schemes are recommended in a targeted manner, so that the problems of missed diagnosis and misdiagnosis are effectively avoided.

The invention relates to an antibody detection kit for neuroparatoma syndrome and a preparation method of the antibody detection kit. The antibody detection kit for neuroparatoma syndrome comprises an antibody detection strip, a cleaning solution, a buffer solution and an auxiliary agent, wherein the antibody detection strip is a nitrocellulose membrane which is coated with antigen proteins containing Amphiphysin, CV2, GAD65, Hu, PNMA2 (Ma2 / Ta), Recovery, Ri, SOX1, Titin, Tr (DNER), Yo and Zic4. The invention further discloses a detection method of the antibody detection strip. The antibody detection kit disclosed by the invention can be used for simultaneously detecting 12 autoantibodies related to the neuroparatoma syndrome. The design of simultaneous detection of multiple antibodies greatly improves the comprehensiveness of detection, so that multiple possible pathogenic factors can be covered in single detection, the kit can be used for differential diagnosis of suspected neuroparatoma syndrome patients in professional laboratories, and the problem of missed diagnosis caused by single antibody detection is avoided.

The invention discloses an equipment operation and maintenance fault checking method and device, equipment and a medium. Through the pre-trained equipment fault diagnosis model, in combination with the real-time operation data, the historical fault case and the instruction template, the fault reason of the to-be-analyzed equipment can be quickly positioned, the maintenance suggestion is determined, the troubleshooting efficiency is improved, the time required by manual troubleshooting is reduced, and the overall operation and maintenance efficiency is improved. Through the reasoning layer in the equipment fault diagnosis model, the target troubleshooting thinking chain can be determined based on the input troubleshooting prompt, and the troubleshooting problem and the execution relation of each level are determined, so that the diagnosis process is organized and clear, and redundant and repeated troubleshooting work is reduced. The real-time operation data is checked in sequence according to the execution relation through the grading processing layer in the equipment fault diagnosis model, the fault problem can be quickly locked, and blindness and low efficiency of traditional manual checking are avoided. And the equipment fault removal knowledge base provides powerful knowledge support for fault diagnosis.

The invention discloses a child developmental hip joint dysplasia auxiliary diagnosis system based on deep learning. The system comprises a trained instance segmentation model and a feature point positioning model. The instance segmentation model is used for segmenting double-side closed pores and ilium from the pelvis image of the child; the feature point positioning model is used for accurately positioning eight hip joint feature points from the pelvis image of the child; the diagnosis method comprises the following steps: inputting a to-be-diagnosed pelvic image of a child into an instance segmentation model, segmenting double-side closed pores and ilium, and obtaining the maximum transverse diameter and area of the closed pores and ilium and the rotation index and area ratio of the closed pores and ilium so as to judge the symmetry of the pelvic image; if the pelvis image is judged to be symmetrical, the quality control standard is met; and after the quality control process is finished, the images or all the images meeting the quality control standard are selected to be sent to a feature point positioning model for feature point detection and IHDI classification. According to the invention, rapid and accurate image quality control and grading diagnosis of children's developmental dysplasia of hip joints can be realized.

The invention relates to the technical field of biopsy picking devices, and particularly discloses a gastrointestinal endoscope biopsy picking device which comprises a flexible outer tube. The fixing base is fixedly connected with the end part of the flexible outer pipe; the number of the clamp flaps is two, and meshing teeth are arranged on the sides, close to each other, of the two clamp flaps; the opening and closing mechanism penetrates through the flexible outer tube and is connected with the two clamp flaps; according to the gastrointestinal endoscope biopsy extraction device, the expansion mechanism expands through the trigger type air bag, so that the root of a deep plica is expanded outwards, a dead angle area which cannot be expanded through conventional air injection is fully exposed, a doctor does not need to manually control an endoscope to push the plica or adjust the angle, semi-blind operation is not needed, missed diagnosis of a hidden focus is avoided, and the operation efficiency is improved. After the plica is unfolded, the clamp flaps can be vertically attached to a focus mucous membrane, the staggered design of the meshing teeth ensures that a tissue sample is firmly fixed, the focus is automatically exposed through the expansion mechanism, the endoscope view is clear, the operation process is simplified, and the sampling failure rate is reduced.

The invention relates to the technical field of fault diagnosis, in particular to a zero-sample speed reducer composite fault diagnosis method based on fast spectral kurtosis, which comprises the following steps: arranging multiple types of sensors at the output and input ends of a fault speed reducer, and collecting data according to a preset sampling frequency; the collected real-time signals are processed into one-dimensional time domain signals, the one-dimensional time domain signals are converted into an actual spectral kurtosis graph after accuracy and integrity analysis and adjustment, a single fault feature set is constructed by combining real-time temperature values and pressure values, and single fault categories are obtained through classification by using a clustering algorithm; dividing samples under a single fault category to construct a diagnosis model, performing combined simulation on the single fault category to construct a composite fault sample set and labeling, performing preliminary diagnosis by the diagnosis model to obtain an initial result, finally determining a final diagnosis result according to the initial result and a composite fault inference rule, evaluating a classification recognition effect, and adjusting a preset sampling frequency according to the final diagnosis result. Therefore, the accuracy of a fault diagnosis result is improved.

The invention provides a defoaming agent for digestive endoscopy as well as a preparation method and a use method thereof, and belongs to the technical field of medicines. The defoaming agent comprises 1%-10% of organic silicone oil and 90%-99% of polyethylene glycol; the preparation method comprises the following steps: weighing the organic silicone oil and the polyethylene glycol according to a set proportion, and respectively heating to 75-85 DEG C to form a hot melt; carrying out isothermal mixing on the two components to obtain a mixed hot melt, and carrying out intermittent shearing and stirring in a wall breaking machine to obtain an emulsified melt; flatly spreading the emulsified molten liquid in a pre-cooled container, sealing a cover, and freezing to obtain a white waxy sheet block; and crushing and sieving the white waxy sheet blocks to obtain white organic silicone oil dry milk powder, namely the defoaming agent. The method comprises the following steps: adding water into a defoaming agent and uniformly mixing to prepare a silicone oil emulsion before digestive endoscopy; the composition is orally taken or sprayed on an examined part. The dry emulsion type defoaming agent provided by the invention is simple in formula, free of additives, free of any potential safety risk, safe and reliable, good in stability and excellent in defoaming effect.

The utility model relates to the technical field of livestock medical equipment, and disclose livestock veterinarian multifunctional animal holding frame, including base, the surface fixedly connected with support frame at the four corners of base upper end, and the outer surface hinged connection of base one side is connected with the treading plate, the upper end of support frame is provided with the holding frame, and one end of holding frame is provided with the open -and -shut structure. The utility model discloses by pulling down the pull rod, make first hinged link and second hinged link hinged rotation, and drive first positioning frame hinged rotation and reset, when the other end of first hinged link and hinged block hinged rotation, and drive the other end of hinged block and go up and hinged rotation, one end of hinged block drives second positioning frame hinged rotation and reset simultaneously, thereby can bind the head of animal, avoid the condition that animal struggles or escapes because of discomfort or panic, and the practicability of equipment is improved to some extent.

The invention discloses a cerebrospinal fluid sampling and detecting device, and belongs to the technical field of neurology. According to the cerebrospinal fluid sampling and detecting device, a detecting and distributing head, a puncture needle, a control cabinet and a detecting box are arranged on a device base, a sealing sleeve is arranged in the detecting and distributing head, a preliminary checking disc is installed in the sealing sleeve, and a three-way valve is installed between the detecting box and the detecting and distributing head. The cerebrospinal fluid sampling and detecting device solves the problems that an existing cerebrospinal fluid sampling and detecting device cannot carry out split charging to achieve automatic adjusting operation, and the detection effect is affected, according to detection data, the electric actuator is adjusted through the plc module, the three-way valve and the adjusting valve are controlled, and therefore according to the detection result, the cerebrospinal fluid can be firstly split charged, and then split charging is carried out. All optical and electrochemical signals are captured by an optical fiber sensing array plate and a detection box which are arranged in the detection distribution head, and are transmitted to a control cabinet through Bluetooth, so that different detection processing work is carried out in time, treatment schemes are effectively switched, and the detection effect is improved.

The invention relates to the field of computer-aided diagnosis, discloses a system for judging and recognizing the intestinal tract cleanliness level of an enteroscope patient, and aims to solve the problems that existing intestinal tract cleanliness evaluation is high in subjectivity, low in evaluation efficiency and lack of quantitative standards. The method comprises the following steps: acquiring and preprocessing enteroscopy image sequence data, and extracting multi-scale features; and the intestinal tract cleanliness is identified through a deep learning model, and a quantitative scoring report is generated. The system comprises an image data acquisition module, a preprocessing module, a multi-scale feature extraction module, a cleanliness identification and classification module and a report generation module. According to the technical scheme, evaluation objectivity, accuracy and efficiency can be improved, automation, standardization and high-precision quantification are achieved, and dependence on doctor experience is reduced.

The invention discloses an elevator fault diagnosis system based on AI intelligent data analysis, relates to the technical field of elevator fault analysis, and solves the technical problems that effective data mining and analysis means are lacked and powerful support cannot be provided for fault diagnosis. Advanced data mining and knowledge extraction technologies are applied, and various elevator fault phenomena, causes, related parts and solutions are integrated. Therefore, fault diagnosis has comprehensive and structured knowledge support, common faults or rare faults can be quickly matched according to the atlas, the diagnosis efficiency is improved, comprehensive analysis is carried out in combination with historical fault records and current fault phenomena, a representation analysis result and a concrete analysis result are generated, and the fault diagnosis accuracy is improved. Not only can the reason of the back of the visual external presentation be quickly grasped, but also the source of the deep fault hidden danger hidden in the internal structure of the elevator and the deep position of the electrical circuit can be deeply excavated.

The invention provides a rapid rib fracture diagnosis device based on an artificial intelligence technology. The rapid rib fracture diagnosis device comprises a spiral CT examination equipment main body, an intelligent host and a display device, the intelligent host comprises a fracture image sample acquisition module, a three-dimensional convolution analysis and learning module and a fracture image analysis and diagnosis module; the three-dimensional convolution analysis and learning module is used for carrying out feature analysis and learning memory on the obtained diagnosed fracture image samples to form a fracture feature image library; the fracture image analysis and diagnosis module is used for acquiring a multi-layer spiral CT examination image of the clinical rib fracture image output by the spiral CT examination equipment main body and carrying out artificial intelligence clinical diagnosis. According to the method, the fracture feature database is formed through artificial intelligence on the basis of the condition that the image features obtained through multi-layer spiral CT examination are finer and the number of the images is large, a doctor is helped to carry out clinical rib fracture diagnosis on the basis, the diagnosis speed and accuracy can be remarkably improved, and the diagnosis efficiency is improved. And the labor intensity of workers and misdiagnosis or missed diagnosis caused by human factors are reduced.

The present invention belongs to the technical field of rail train fault detection, and discloses a method for online monitoring of train wheel polygon faults. The wheel polygon fault monitoring method of the present invention introduces a method of using the average value of polygon indicators within a certain period of time as a polygon evaluation indicator and a method of selecting the polygon order indicator that appears the most times within a certain period of time as a polygon order evaluation indicator, thereby ensuring that the evaluation indicator is stable and reliable, and effectively avoiding misdiagnosis and missed diagnosis; the vehicle speed is introduced as a condition for fault judgment and alarm status output, and a method of time dimension judgment and fault status value counting judgment is introduced, thereby effectively avoiding the influence of the track state on the wheel polygon fault status judgment, and reducing the interference of a large number of fault alarm information prompts on drivers and passengers. The wheel polygon fault detection method of the present invention has accurate and stable monitoring results, has low requirements on system performance, and meets the requirements of a low-cost embedded device real-time online monitoring system.

This invention discloses a primer set and kit for detecting gene variant sites in glucose-6-phosphate dehydrogenase (G6PD) deficiency, belonging to the field of gene detection technology. The primer set includes multiplex PCR amplification primers shown in SEQ ID NO. 1–14 and single-base extension primers shown in SEQ ID NO. 15–35, capable of simultaneously detecting 21 G6PD pathogenic variant sites (including high-incidence sites in the Chinese population such as c.95A>G and c.202G>A). The kit also includes PCR amplification reaction reagents, SAP enzymatic digestion reaction reagents, extension reaction reagents, desalting resin, and a detection chip. The detection method employs “multiplex PCR amplification → SAP dephosphorylation → single-base extension → nucleic acid mass spectrometry detection,” automatically determining the genotype based on mass-to-charge ratio differences. This invention offers comprehensive site coverage (covering pathogenic mutations in over 99% of Chinese patients), high accuracy (100% consistent with Sanger sequencing results), ease of operation (automatic detection and result analysis), and suitability for small sample sizes. It can be applied to prenatal diagnosis and newborn genetic disease screening, and is suitable for large-scale promotion in hospitals at all levels, providing a reliable tool for rapid and accurate detection of G6PD deficiency.

This utility model discloses a fully automated biochemical analyzer, including a biochemical analyzer body. A top cover is rotatably connected to the top of the analyzer body. Mounting plates are symmetrically fixed to one side of the top cover. A collection tube is fixedly installed between the two mounting plates. A water inlet pipe is fixedly installed to one side of the collection tube. Multiple diverter heads are installed on one side of each collection tube, and a spray head is fixedly installed at the bottom of each collection tube. This design, by setting up a collection tube, water inlet pipe, diverter heads, spray heads, and ultraviolet disinfection lamp, uses the water inlet pipe to transmit water through the collection tube to the interior of the diverter heads. The spray heads spray disinfectant water onto the top of the partition, disinfecting the interior of the biochemical analyzer body. The ultraviolet disinfection lamp then dries and disinfects the disinfectant water, effectively reducing cross-contamination between samples, ensuring the independence of each sample, and avoiding misdiagnosis or missed diagnosis due to contamination.

The utility model discloses an early diagnosis device for identifying osteoporosis in combination with clinical CT (Computed Tomography), which comprises a bed plate and a bottom plate, the side part of the bed plate is fixedly connected with a support plate, the top of the support plate is provided with a QCT (Quality Computed Tomography) system, and the searchlighting position of the QCT system corresponds to the lumbar vertebra part of a human body; a collecting shell is fixedly connected to one side of the bottom plate, a transparent substrate is fixedly connected to the top of an inner cavity of the collecting shell, the upper portion of the transparent substrate is used for containing a clinical CT film obtained after photographing is completed, an electric telescopic rod is fixedly connected to one side of the collecting shell, and a top plate is fixedly connected to the top of the electric telescopic rod. The bottom surface of the top plate is fixedly connected with an image acquisition module, the image acquisition module corresponds to the transparent substrate in position, and the top surface of the top plate is fixedly connected with a touchable display. By adopting the diagnosis device provided by the utility model, the completed conventional clinical CT and follow-up diagnosis CT are organically combined, and the early diagnosis of osteoporosis is facilitated.

This invention relates to the field of medical assistance technology, specifically to a pneumonia medical assistance system based on an improved VMamba model. The system includes: dividing the lung image to be diagnosed into raster cells based on a raster cell partitioning algorithm; calculating the lesion representation coefficient of each raster cell within each management time period; calculating the lesion representation index of the lesion trend path within the management period based on the raster cells along the lesion trend path; determining whether the raster cells covered by the lesion trend path are lesion regions based on the lesion representation index; inputting the lung field feature map and semantic feature vector into the improved VMamba model after channel-level concatenation, and outputting the pneumonia classification diagnosis result; and linking the pneumonia classification diagnosis result with a pneumonia knowledge graph to generate a visual auxiliary diagnosis report, significantly improving the accuracy and stability of lung medical image processing and achieving full-process automation of intelligent image analysis.

This invention relates to the field of abdominal drainage technology, and more particularly to an abdominal drainage system based on real-time hemoglobin monitoring and intelligent early warning. The technical solution includes an abdominal drainage tube, an optical sensing module, a microprocessor module, and a wireless communication module. The microprocessor module is configured to perform moving average filtering and dynamic trend modeling on hemoglobin concentration data; and to trigger early warnings based on preset multi-level alarm conditions. This invention, by real-time and accurate monitoring of hemoglobin concentration in abdominal drainage fluid, combined with intelligent early warning and personalized response mechanisms, overcomes the limitations of traditional manual observation, significantly improving the timeliness and accuracy of bleeding risk identification. Its closed design reduces the risk of infection, while its system integration capabilities optimize medical and nursing workflows, enabling data sharing and remote collaboration. This not only shortens the intervention time window and improves patient prognosis but also frees up nursing resources and improves medical quality, providing a comprehensive and efficient solution for postoperative monitoring.

The invention provides a multi-instance learning-based grape tire risk hierarchical prediction method. The method comprises the steps of obtaining suspected grape tire pathological image data and clinical parameters; preprocessing the image and cutting the image into image blocks; extracting image block features by using a feature extraction network, and aggregating to generate packet-level features; high-discrimination features are obtained through a multi-instance feature aggregation module; coding the coding network into features, and generating multi-source fusion features with fusion; inputting into the classification network, outputting prediction probabilities of non-grape tyres, partial grape tyres and complete grape tyres, and calculating disease risk scores according to the prediction probabilities of the non-grape tyres, the partial grape tyres and the complete grape tyres; dividing into four risk levels of low, medium, medium and high and high according to the scores, and automatically triggering an auxiliary diagnosis prompt for cases falling into classified easy-to-confuse levels. Pixel-level labeling is not needed, clinical safety and interpretability are considered while classification accuracy is improved, and the method is suitable for grape tire intelligent auxiliary diagnosis of primary and superior medical institutions.

The utility model relates to a multi-lens capsule endoscope and an endoscope system. The multi-lens capsule endoscope comprises a shell, the shell comprises a shell body and a transparent end cover, and the transparent end cover is connected to one axial end of the shell body in a sealed mode; the camera module comprises a lens base and a plurality of cameras, the lens base is arranged in the transparent end cover, the cameras are arranged on the lens base at intervals in the circumferential direction, and lenses of all the cameras are arranged towards the transparent end cover. After the multi-lens capsule endoscope is swallowed into the body of a patient, the multiple cameras shoot organ images in the body of the patient at the same time, a wider field angle can be obtained through combined configuration of the multiple cameras, the field range of single shooting is wider, the number of shot pictures can be reduced on the basis of obtaining complete organ images, and the shooting efficiency of the multi-lens capsule endoscope is improved. Image redundancy is avoided, time consumed by medical staff for reading is reduced, diagnosis and treatment efficiency is improved, multiple cameras perform shooting at the same time, the problem of missed shooting can be effectively prevented, missed diagnosis is avoided, and diagnosis and treatment effects are guaranteed.

The utility model discloses a pathological specimen sampling knife integrating measuring and quick slicing, which comprises a cutting plate, a knife body and a knife handle, grid scales are arranged at the top of the cutting plate, the knife body is arranged at the top of the cutting plate along the length direction of the cutting plate, one end of the knife body is hinged with the cutting plate, the knife handle is arranged at the other end of the knife body, and the knife handle is arranged at the other end of the knife body. The cutter body can rotate in the width direction of the cutting plate. The cutter body comprises a plurality of blades which are parallel to one another and arranged at equal intervals. The technical effects are that the grid scales are arranged at the top of the cutting plate, so that the length and width of a specimen can be conveniently read; the cutter body comprises a plurality of blades which are parallel to one another and are arranged at equal intervals, a plurality of slice specimens can be cut at a time, and the cut slice specimens are uniform in thickness; the whole structure is simple, use and operation are convenient and fast, and cutting efficiency is high; according to the sampling knife, the size of a specimen can be rapidly measured, the specimen can be cut by multiple sections at the same time, and the sampling efficiency and accuracy can be effectively improved.

The invention belongs to the technical field of molecular diagnosis and enzyme engineering, and particularly discloses a primer group, a kit and a method for detecting CGG repeated amplification diseases. The multiplex PCR system provided by the invention comprises a PCR primer group of which the sequence is as shown in SEQ ID NO: 1 to SEQ ID NO: 7; the DNA polymerase takes Pfu polymerase as a skeleton and comprises mutations such as V93Q, E148K, G150A, S152A or N155A and the like, and the C end of the DNA polymerase is fused with a Cren7 DNA binding protein through a short connecting peptide; and the high GC PCR system comprises LiCl, MgCl2, dNTP (deoxyribonucleoside triphosphate), 7-deaza-dGTP (7-deaza-dGTP) and the like. According to the present invention, the engineering DNA polymerase, the optimized high GC PCR system and the multiple primer group are combined, such that the detection sensitivity and the detection specificity are significantly improved, and the joint detection of a variety of clinical phenotype similar diseases is achieved.