41 results about "Digestive endoscopy" patented technology

The invention relates to the field of endoscope image processing, and particularly discloses an automatic lesion recognition system for endoscopy of the digestive system department, which is characterized in that after a preprocessed original endoscope image is acquired, a double-branch parallel processing architecture is used to acquire characteristics with low resolution and rich semantic information through a deep context branch, and the characteristics of the original endoscope image are acquired. The potential area of the focus is accurately deduced; meanwhile, the fine texture of the mucous membrane is captured in a lossless manner through shallow detail branches which keep high resolution in the whole process. Furthermore, through a context-guided asymmetric enhancement mechanism, a global view of a deep branch is utilized to generate an uncertainty perception attention map as a reference, and weak detail features corresponding to a potential focus area in a shallow branch are accurately irradiated and adaptively enhanced. Thus, a conservative enhancement strategy is adopted in an uncertain focus area, background noise is effectively inhibited, and therefore the detection sensitivity and robustness of low-contrast and flat focuses are fundamentally improved.

The invention relates to the technical field of computer vision and medical image processing, and discloses a digestive endoscopy report generation method and device based on a multi-modal large language model. The method specifically comprises the following steps: for a plurality of upper gastrointestinal endoscopy images, extracting a first image feature through a visual encoder to perform anatomical part identification; extracting a second image feature from the first image feature by using a self-attention mechanism to perform background gastric mucosa classification; generating description about digestive tract diseases through a large language model, and under the guidance of the description, extracting third image features from the first image features to perform digestive tract disease classification; the constructed text instruction about report generation and the third image feature are combined and then input into a multi-mode decoder, and a digestive endoscopy report is generated. According to the method, a plurality of upper gastrointestinal endoscopy image analysis tasks can be processed at the same time, and a digestive endoscopy report which does not depend on a fixed template and has rich context content can be generated with high efficiency and high accuracy.

The application relates to the field of medical masks, in particular to a mask with a gastrointestinal mirror channel, which comprises a mask main body, an oxygen supply assembly, a gastrointestinal mirror channel assembly, an anti-aspiration assembly and a sealing adjustment assembly. The oxygen supply assembly provides clean and controllable breathing support through a multi-layer filter membrane and a flow adjustment function; the gastrointestinal mirror channel assembly is designed with a flexible sealing sleeve and an elastic support strip, thereby ensuring air tightness and adaptability during gastrointestinal mirror operation; the anti-aspiration assembly effectively deals with vomiting reflex or gastric content reflux through an arc-shaped baffle and a drainage groove; and the sealing adjustment assembly improves the adhesion and stability of the mask by using an air bag. The application can simultaneously realize breathing support and gastrointestinal mirror operation, and takes into account the safety and comfort of patients, thereby providing a perfect solution for digestive endoscopy.

The utility model provides a clamping structure for a digestive endoscopy accessory, relates to the technical field of clamping structures for digestive endoscopy accessories, and adopts the following technical scheme that the clamping structure for the digestive endoscopy accessory comprises two supporting legs which are symmetrically arranged, the tops of the two supporting legs are fixedly connected with clamping heads, and the two supporting legs are fixedly connected with the clamping heads. The outer surfaces of the two supporting legs are rotatably connected with a fixing shaft, a pipeline is arranged outside the two supporting legs, the bottom of the pipeline is fixedly connected with a sliding rail, the inner surface of the sliding rail is slidably connected with symmetrical first sliding blocks, and the tops of the two first sliding blocks are fixedly connected with moving plates. According to the device, the clamping head can deviate towards one side for use in the moving process through the arrangement of the bent sliding groove, meanwhile, the clamping head can be rotated for use through the arrangement of the sliding rail at the bottom of the pipeline, and the situation that an original clamping head needs to stretch back and forth to determine the direction is avoided; and the working efficiency of medical staff and the feeling of a user are improved.

The application belongs to the field of medical image recognition and relates to an esophageal lesion image recognition method based on a deep neural network, which comprises the following steps: step 1, processing actual digestive endoscopy video data to construct training data; step 2, constructing a deep neural network model and training the deep neural network model through the training data to obtain an early esophageal cancer recognition model; step 3, inputting digestive endoscopy video data to be detected into the early esophageal cancer recognition model, and the early esophageal cancer recognition model judging whether there is a suspected esophageal cancer lesion and outputting a lesion judgment result; the lesion judgment result comprising a spatial position and a progression stage of the lesion; the method models the time sequence dynamics of lesion characteristics in the endoscopy recognition process, and combines a graph neural network to depict the feature correlation of early esophageal squamous cell carcinoma under multi-view conditions, so as to improve the recognition accuracy, consistency and robustness of the model in a real clinical application scenario.

The invention belongs to the field of medical instruments, and provides a gastroendoscopic gastric calculus crushing device which comprises a control assembly, the control assembly comprises a shell and a handle, and the handle is fixedly mounted on the right side surface of the shell; the adjusting assembly is mounted on the surface of the bottom side of the shell; the stretching-in mechanism is installed on the surface of the bottom side of the shell, and the stretching-in mechanism is used for stretching into the stomach of a patient; the crushing assembly is mounted in the bottom end of the stretching mechanism, and the crushing assembly is used for crushing the gastric calculi; under the action of a vibration motor, the vibration motor acts on a tool apron to move, the tool apron drives a smashing cutter to conduct smashing, a steel wire rope drives a net basket to move, the net basket conveniently drives broken stones to move, continuous material supplementing is facilitated, the stone smashing efficiency is improved, the stone smashing effect is met, and after the attached broken stones are squeezed away through a cleaning plate, it is guaranteed that the surface of the smashing cutter is clean; the crushing cutter is convenient to operate and use.

The invention discloses a YOLO-based lightweight attention-guided digestive endoscopy abnormal region detection method. The method comprises the following steps: preprocessing data by adopting an image enhancement strategy, and inputting the preprocessed data into a backbone network to extract features; and the extracted features are subjected to up-sampling, fusion and enhancement on the neck layer and then are input into the detection layer to complete position regression and category prediction of the target area. According to the method, an MDR-YOLO model is developed and is used for abnormal region detection of a digestive endoscopy image, and a proposed MSC2f module comprises a multi-scale parallel convolution attention module used for extracting multi-scale feature information; the provided D4f module comprises a deep semantic expression structure constructed by a multi-level convolution residual path, so that high-quality feature fusion and enhancement are realized; a proposed RSC2f module comprises a channel attention residual module which is used for improving the ability of the model to extract all-channel features. The experimental result verifies the effectiveness of the MDR-YOLO model in the detection of the abnormal region in the digestive endoscopy image, and especially shows higher accuracy and robustness in the detection of a small target.

The invention relates to the technical field of fruit picking, in particular to a digestive gastroscope inspection auxiliary device which comprises a fixing bracket, a plurality of locking bolts are arranged on the fixing bracket, the fixing bracket is detachably mounted on the bedside of a sickbed through the locking bolts, a jacking supporting block is fixedly mounted at one end of the fixing bracket, and a jacking block is fixedly mounted at the other end of the fixing bracket. A groove for placing a gastroscope tube is formed in the jacking support block; in the examination process, a doctor holds the operation board with one hand and pinches the gastrointestinal endoscope tube with the thumb and the index finger with the other hand to push the gastrointestinal endoscope tube, at the moment, the gastroendoscope tube can move freely, smoothness of the pushing process is ensured, when the next section of gastroendoscope tube is pushed, the thumb and the index finger retreat and open the driving opening and closing mechanism, and the gastrointestinal endoscope tube is pushed out. According to the gastroscope tube locking device, the locking mechanism can lock the gastroscope tube, the phenomenon that the gastroscope tube retreats due to factors such as the gravity of the gastroscope tube is effectively avoided, the continuity and accuracy of examination are guaranteed, when the gastroscope tube is clenched again to be pushed, the locking mechanism can drive the opening and closing mechanism to reset, and circulation and stability of operation are achieved.

The application discloses a method for predicting biological age based on enteroscopy pictures, and belongs to the field of digestive endoscopy image analysis. The method first screens enteroscopy pictures without abnormalities, and completes quality control and edge cutting; then constructs an image package with multiple pictures in a single report, extracts features and weighted aggregation by using a multi-instance learning model based on attention; and converts age prediction into a classification task and introduces a Gaussian soft label to realize high-precision biological age prediction. The application can mine aging-related features from enteroscopy images without obvious abnormalities, does not need additional equipment and invasive operation, has strong generalization, and can be used for risk stratification of enteroscopy-negative people and precise prevention and treatment of colorectal cancer.

This invention discloses a highly flexible appendiceal stent, comprising a proximal anchoring section, a middle flexible section, and a stent body. The outer wall of the stent body is provided with one or more anti-displacement rings. The stent is composed of multiple layers; preferably, the outer layer material of a three-layer stent is one or more combinations of polyurethane, modified nylon Pebax, and nylon. The outer layer materials of the stent body and the flexible section are more flexible than the proximal outer layer material. The middle imaging-enhancing layer is a spring mesh or braided mesh made of metal wires; the inner layer is a super-slippery polytetrafluoroethylene film. Compared to currently used appendiceal stents released via digestive endoscopy, the stent body of this invention is more flexible, causing less damage to the appendix. The stent with the flexible section is less prone to bending and provides smooth drainage. Furthermore, the appendiceal stent of this invention shows good imaging under X-rays, facilitating surgery. The anti-displacement rings and barbs placed in the stent body reduce the risk of displacement.

The utility model belongs to the field of medical equipment, and particularly relates to a digestive endoscope gas supply device which comprises a supporting column, and a clamping assembly is arranged on one side of the supporting column. And the clamping assembly comprises a sliding block, the sliding block is slidably connected to the front side of the supporting column, the interior of the sliding block is hollowed out, and a partition plate is fixedly connected to the middle of the sliding block. Through the synergistic effect of the sliding blocks, the partition plates, the telescopic rods, the springs and the surrounding-shaped clamping plates, the gas storage tank can be stably clamped. The elastic effect of the spring enables the clamping plate to adapt to the gas storage tanks with different diameters, and the compatibility of the device to the gas storage tanks with various specifications is effectively enhanced. In the moving or using process of the equipment, the problems of connection looseness and the like caused by shaking and displacement of the gas storage tank can be effectively prevented, the continuity and the stability of gas supply are ensured, a reliable gas source foundation is provided for digestive endoscopy operation, and smooth proceeding of the medical process is ensured.

The utility model relates to the technical field of minimally invasive surgery specimen processing, and discloses a fixed measuring plate for a full-thickness resection specimen in a digestive endoscopy super minimally invasive surgery, which comprises a measuring plate body and a fixing piece, the measuring plate body is used for supporting and observing a surgery specimen, the edge of the measuring plate body is provided with scale values, the measuring plate body is a transparent plate, and the fixing piece is arranged on the measuring plate body. The bottom of the measuring plate body is provided with an illuminating part for illuminating the measuring plate body, the plurality of fixing parts are detachably arranged on the measuring plate body, and the edge of the measuring plate body is provided with scale values, so that a specimen can be directly measured without an additional measuring tool; and the specimen is fixed through the arranged fixing piece, so that puncture damage to the specimen is avoided, the physical damage risk of the specimen in the fixing process is greatly reduced, and the integrity of the specimen is guaranteed.

The application provides a kind of intelligent biopsy area prompting method and system for digestive endoscopy, it is related to artificial intelligence auxiliary diagnosis and treatment field, including: obtaining real-time digestive endoscopy video stream;Through multi-scale visual neural network, multi-scale feature extraction is carried out frame by frame to video stream, candidate biopsy area detection is carried out based on multi-scale feature;Biological histology level multi-feature fusion analysis is carried out to candidate biopsy area, and the biopsy value of candidate biopsy area is evaluated;Based on biopsy value, generate prompt element, and real-time superimposed in original video stream;Wherein, the biological histology level multi-feature fusion analysis is from color, texture, blood vessel, morphology, semantic multi-feature of candidate biopsy area is constructed, and the confidence of multi-feature and candidate biopsy area is used to score biopsy value.The application can accurately prompt potential biopsy area in the process of examination, so as to assist doctors to improve sampling scientificity and diagnostic accuracy.

The utility model relates to the technical field of medical instruments, in particular to a digestive endoscopy operation auxiliary platform which comprises a first pipe body and a second pipe body. Wherein the outer side of the far end of the first tube body is fixedly sleeved with a cap; a guide pipe is arranged on the cap in a penetrating mode, the guide pipe is arranged on one side of the first pipe body, the guide pipe comprises a first arc-shaped plate-shaped structure and a second arc-shaped plate-shaped structure, and the two sides of the second arc-shaped plate-shaped structure are fixedly connected with the two sides of the first arc-shaped plate-shaped structure respectively; wherein the first arc-shaped plate-shaped structure and the second arc-shaped plate-shaped structure are enclosed to form a cavity. According to the auxiliary platform for operation of the digestive endoscopy, the diameter between the catheters can be changed through the arrangement of the catheters, the first arc-shaped plate-shaped structure and the second arc-shaped plate-shaped structure, so that blood clots or part of intestinal tract solid feces can be cleaned through different endoscope operation instruments, and the operation time of an endoscopic surgery is shortened.

The invention belongs to the field of medical image recognition, and relates to an esophageal lesion image recognition method based on a deep neural network, which comprises the following steps: step 1, processing actual digestive endoscopy video data, and constructing training data; 2, constructing a deep neural network model, and training the deep neural network model through the training data to obtain an early esophageal cancer recognition model; step 3, inputting to-be-detected digestive endoscopy video data into the early esophageal cancer recognition model, judging whether a suspected esophageal cancer focus exists or not by the early esophageal cancer recognition model, and outputting a focus judgment result; the lesion judgment result comprises a spatial position and a progress stage of the lesion; modeling is carried out on time sequence dynamic states of focus features in the endoscope recognition process, the feature incidence relation of the early esophageal squamous carcinoma under the multi-view condition is depicted in combination with a graph neural network, and the recognition accuracy, consistency and robustness of the model in a real clinical application scene are improved.

The invention relates to the technical field of medical instruments, in particular to a pharyngeal comfort nursing device for a patient after digestive endoscopy and a using method.The pharyngeal comfort nursing device comprises a U-shaped silica gel pad, two medicine carrier grooves are symmetrically formed in the inner side wall of the U-shaped silica gel pad, and sponge carriers are arranged in the medicine carrier grooves; negative pressure drainage channels are formed in the two sides of the U-shaped silica gel pad, a secretion retention area is formed in the U-shaped silica gel pad, and the negative pressure drainage channels are communicated with the secretion retention area; the double functions of medicine slow release and active drainage are achieved, through the symmetrical medicine carrier grooves of the U-shaped silica gel pad, the sponge carrier can continuously release analgesic and repairing medicine for 6-8 hours, and repeated medication is reduced; meanwhile, the negative pressure drainage channel, the secretion retention area and the one-way valve form a closed-loop drainage system, retention secretions are actively removed, the bacterium breeding risk is reduced, and the comfort level of a patient is improved.

The invention discloses a digestive endoscopy report automatic generation method based on a multi-modal large language model, and the method comprises the steps: obtaining a plurality of first endoscopy image groups and corresponding first report texts, and training the multi-modal large language model to obtain a target model; in a reasoning stage, inputting a second endoscopic image group into the target model, generating an anatomical part prediction result through an anatomical part classification head, and generating an abnormal score through an abnormal probability scoring head; and determining a representative image according to the anatomical site prediction result, and generating a corresponding site description and diagnosis conclusion based on the representative image to form a second report text. By introducing an anatomical part identification and anomaly scoring mechanism into the multi-modal model, automatic generation from multiple endoscopic images to a structured report text is realized, the report generation efficiency and consistency are improved, and the method is suitable for digestive endoscopy auxiliary diagnosis scenes.

The invention provides a gastric colon polyp detection method based on deep learning, and the method comprises the steps: building a Swinin-T-Faster joint detection model, combining the global perception capability of Transform and the multi-scale feature extraction advantages of a convolutional neural network, and employing a layered window attention mechanism to strengthen the focusing of a polyp region; a PAFPN feature pyramid module is innovatively introduced, efficient fusion of 384-dimensional deep semantic features and 192-dimensional shallow detail features is realized through up-sampling and channel splicing, and the diameter of a tiny polyp (diameter lt; 5 mm); and designing a three-level post-processing mechanism: firstly, carrying out frame fusion based on the condition that the overlapping degree is greater than 0.85 and the confidence coefficient weight, secondly, filtering a false positive frame according to a clinical morphological rule, and finally, optimizing a confidence score through dynamic weighting of the confidence coefficient and the overlapping degree. According to the method, the average precision mean value is 98.02% on a Kvasir data set, the false positive rate is reduced by 18% compared with that of a traditional model, real-time reasoning of 30 frames per second is achieved on edge equipment by means of the TensorRT quantification technology, the three technical bottlenecks of small target missing detection, background interference misjudgment and clinical deployment delay in medical image analysis are effectively solved, and the medical image analysis efficiency is improved. And a high-precision and high-robustness solution is provided for intelligent diagnosis of the digestive endoscopy.

The utility model relates to a pair of multifunctional digestive endoscopic scissors, belongs to the technical field of medical instruments, and solves the problem that the existing endoscopic scissors are easy to slip to cause incomplete shearing when performing shearing operation. The pair of multifunctional digestive endoscopy scissors comprises a single-edge blade and a double-edge blade, wherein the single-edge blade is provided with a linear edge; the double-edge blade comprises a first tooth-shaped edge and a second tooth-shaped edge; the first tooth-shaped cutting edge and the second tooth-shaped cutting edge are arranged in parallel and are the same in shape; a gap is reserved between the first tooth-shaped cutting edge and the second tooth-shaped cutting edge; when the single-edge blade and the double-edge blade move relatively, the single-edge blade can be clamped into a gap between the first tooth-shaped cutting edge and the second tooth-shaped cutting edge, and then the shearing action is achieved. The pair of multifunctional digestive endoscopy scissors can achieve shearing operation on suture lines or supports, and can prevent a target from sliding in the axial direction or the radial direction in the shearing process.

The present application relates to the technical field of artificial intelligence, and provides a system and method for classifying eosinophilic gastroenteritis based on multi-modal data, which comprises: obtaining digestive endoscopy images, ultrasonic endoscopy images, CT examination images and clinical manifestation data collected by a subject in the same period; identifying the state of gastrointestinal mucosa lesions and representing the numerical characteristics through the digestive endoscopy images; identifying the abnormal thickening of each membrane layer structure of the gastrointestinal wall and representing the numerical characteristics through the ultrasonic endoscopy images; determining the lesion level distribution and representing the numerical characteristics through the ultrasonic endoscopy images; determining the peritoneal effusion and intestinal wall thickening and representing the numerical characteristics through the CT examination images; obtaining the clinical symptom characteristics and representing the numerical characteristics through the clinical manifestation data; generating a feature vector based on multi-modal data by representing each numerical characteristic; and inputting the feature vector into a dynamic classification prediction model to realize the classification prediction of eosinophilic gastroenteritis, thereby improving the accuracy of auxiliary diagnosis and evaluation.

The application relates to the technical field of medical care, in particular to a post-endoscopy intelligent nursing system based on deep learning. The system comprises an endoscopy post-operation data acquisition and processing module, an endoscopy post-operation feature analysis module, an endoscopy post-operation recovery risk assessment module and an endoscopy post-operation recovery risk intelligent nursing module. The system can acquire physiological data of a post-endoscopy patient and endoscopy post-operation gastrointestinal tract state image data, uses a long short-term memory network to acquire long short-time sequence features of post-endoscopy physiological indexes, uses a convolutional neural network to identify and acquire post-endoscopy healing abnormal lesion features, inputs the features into a preset deep neural network model for feature fusion, post-operation recovery risk assessment calculation and post-operation intelligent nursing analysis, generates post-endoscopy patient recovery nursing suggestions, and executes corresponding post-endoscopy risk recovery nursing work. The application can accurately analyze post-operation data of a patient, thereby intelligently guiding nursing decision-making work.

This utility model discloses a driving device for an auxiliary operating system in digestive endoscopy surgery, including a driving base plate, a fixing plate, and a first slider module, a second slider module, and a third slider module disposed between the two. The first slider module includes a guide rail fixing plate one fixed to the driving base plate, a guide rail one fixed to the guide rail fixing plate one, an end plate one, and an end plate two. A ball screw one is disposed between the end plate one and the end plate two, and a screw nut one is disposed on the ball screw one. The screw nut one is fixed inside a slider fixing block one. A slider one is fixedly connected to the lower part of the slider fixing block one, and the slider one can slide left and right along the guide rail one. A photoelectric baffle one is fixed to the front side of the slider fixing block one, and a pin drive block one is fixed to the upper part of the slider fixing block one, with a drive pin one disposed on the pin drive block one. This utility model modularizes the driving components, reducing the number of parts, assembly time, and making the structure more compact, thus reducing processing costs.

The invention discloses an anti-offset stable guiding and flushing auxiliary device for digestive endoscopy, which comprises an endoscope, an anti-offset support assembly and a waste liquid recovery assembly, the inside of the endoscope is communicated with an insertion tube, the anti-offset support assembly is mounted in the endoscope, the waste liquid recovery assembly is mounted on the upper surface of the anti-offset support assembly, and the insertion tube is communicated with the insertion tube. The posture change and position deviation conditions of the endoscope are monitored in real time through the displacement sensor, when deviation of the endoscope is monitored through displacement, the air pump can be automatically started, compressed air is conveyed into the elastic bags through the conveying pipe, the annular pipe and the branch pipes, the elastic bags at the corresponding positions are rapidly expanded, and therefore the endoscope can be effectively protected. When the endoscope is used, the hard pad on the outer surface of the elastic bag is pushed to be tightly attached to the digestive tract wall, so that enough friction force and supporting force are generated, the endoscope is prevented from continuously deviating or twisting, meanwhile, through the supporting wire in the elastic bag, the structural strength of the elastic bag is enhanced, and the good self-adaptive deformation capacity is achieved; and therefore, the device can be better attached to alimentary canal cavities with different forms.

This invention discloses an endoscopically controlled tissue traction assist device, relating to the field of digestive endoscopy medical device technology. The endoscopically controlled tissue traction assist device includes a control handle and a traction cannula. The bottom of the control handle is connected to the traction cannula via a Luer connector. Depending on the surgical situation, the traction cannula can be configured as either a slender flexible tube or a snake-bone tube. Both the slender flexible tube and the snake-bone tube have a single, through-type instrument channel inside. The distal ends of both the slender flexible tube and the snake-bone tube are configured with smooth, flexible tips. The control handle contains an angle adjustment mechanism. In this invention, the device can be selectively replaced according to the requirements of the endoscopic surgery, offering advantages such as simplified structure, controllable angle, strong adaptability, and low cost. It can significantly improve the stability and accuracy of endoscopic traction operations.

The utility model discloses an auxiliary traction device for a digestive system department endoscope, and belongs to the field of endoscopes. The auxiliary traction device for the endoscope in the digestive system department comprises a traction tube, a second clamping piece is arranged at one end of the traction tube, a first clamping piece is arranged at the upper end of the second clamping piece, and a second sliding rail is arranged at the end, facing the traction tube, of the first clamping piece. According to the auxiliary traction device, the problems that an existing auxiliary traction device and a clamping plate are clamped after rotating in the clamping process, the rotating range is large, and a patient feels uncomfortable are solved, the transmission frame can be pushed after the transmission ring rotates, the transmission frame transversely drives the idler wheel after being pushed, the idler wheel can extrude the transmission plate, and the transmission plate is driven to rotate. The transmission plate can drive the first clamping piece to move towards the second clamping piece after being extruded, the transmission plate and the rolling wheel which are used for transmission are contained in the traction pipe, and the first clamping piece slides longitudinally after transmission and cannot be driven to rotate.

The invention relates to the technical field of endoscope image analysis and processing, in particular to a real-time image sharing and labeling method in digestive endoscope remote cooperative diagnosis and treatment. The method comprises the following steps: firstly, acquiring a digestive endoscopy frame image in real time, sharing and transmitting the digestive endoscopy frame image to a remote cooperative diagnosis and treatment end, and acquiring a point of interest marked in the digestive endoscopy frame image after the remote cooperative diagnosis and treatment end receives the digestive endoscopy frame image; at the current moment, a historical digestive endoscopy frame image received by the remote cooperative diagnosis and treatment end is matched with a current digestive endoscopy frame image, the corresponding position of the point of interest marked by the remote cooperative diagnosis and treatment end in the current digestive endoscopy frame image is accurately determined, expansion analysis is further conducted on the point of interest, and the possibility of the regional focus is evaluated. Therefore, the region of interest corresponding to the point of interest is accurately marked, local high-definition sharing is finally carried out, and the remote cooperative diagnosis and treatment effect of the digestive endoscopy is improved while the sharing delay is reduced.

The polyp resection device comprises a grab handle shell, a plastic pipe is fixedly installed on one side of the grab handle shell, a clamping electric coagulation assembly is installed in the grab handle shell and the plastic pipe, a cutting assembly is installed in the grab handle shell and the plastic pipe, an external display inserting opening is fixedly formed in the top of the grab handle shell, and an external display inserting opening is fixedly formed in the top of the external display inserting opening. An endoscope is fixedly installed at the end, away from the grab handle shell, of the plastic pipe. By adopting the operation logic of firstly coagulating and then cutting, double safety guarantees are provided for the operation process: on one hand, the pre-coagulation treatment eliminates the bleeding hidden danger during cutting, ensures that the operation view is always clear, is convenient for medical personnel to accurately control the cutting position and depth, and avoids mistaken cutting or residue caused by the fuzzy view, and on the other hand, the pre-coagulation treatment is convenient for the medical personnel to accurately control the cutting position and depth. Due to the stable blood coagulation effect, the number of times of hemostasis operation in an operation is reduced, the operation time is shortened, the risk of complications such as infection and pain caused by long-time operation of a patient is reduced, and meanwhile the operation pressure of medical staff is relieved.

The invention relates to the technical field of medical instruments, and discloses an oral endoscope mouthpiece with a tongue depressor, the oral endoscope mouthpiece comprises a mouthpiece main body, an oxygen supply catheter, a nasal suction head and a sampling catheter, the mouthpiece main body is formed by integrally connecting a mouthpiece shell and a wing plate, the mouthpiece shell is provided with a tongue depressor assembly, the tongue depressor assembly comprises a tongue depressor detachably connected with the mouthpiece shell, and the sampling catheter is arranged on the tongue depressor assembly. The end of the tongue depressor is integrally connected with an extension part, an air supply channel is formed in the extension part, and the end of the extension part is connected with a flow choking turning plate through a flexible part. According to the oral endoscope mouthpiece with the tongue pressing function, by arranging the tongue pressing assembly, the tongue body can be effectively pressed, the situation that the tongue root falls to block the respiratory tract due to the fact that muscle tension is reduced due to anesthetic medicine is avoided, it is ensured that the airway of a patient keeps smooth, and meanwhile through mutual cooperation of an extension piece, an air supply channel, a flexible piece and a flow blocking turning plate, the flow blocking effect is good. Reflux is prevented from entering the airway, and the safety of a patient in the digestive endoscopy diagnosis and treatment process is effectively improved.

The invention relates to the field of medical treatment, and discloses a magnetic squeezing anastomosis system for intestinal canal stenosis and an accurate magnet butt joint method of the magnetic squeezing anastomosis system. The second adsorption part is matched with the first adsorption part; the traction structure penetrates through the interiors of the first adsorption part and the second adsorption part; and the limiting piece is positioned below the second adsorption piece. The traction structure penetrates through the interiors of the first adsorption part and the second adsorption part, accurate positioning and butt joint of the first adsorption part and the second adsorption part can be achieved under the guidance of an endoscope through the guiding effect of the traction rope, and the technical problem of accurate butt joint of the upstream adsorption part and the downstream adsorption part of the narrow section is solved. Through the combined design of the limiting piece and the blocking piece, the distance between the first adsorption piece and the second adsorption piece can be actively compressed by tightening the limiting piece, the limitation of a traditional magnetic force acting distance is broken through, and effective treatment of a long narrow section is achieved.

1. The name of the design product: tissue clamping device for digestive endoscopy. 2. The use of the design product: used for clamping tissue in digestive endoscopy. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.