126 results about "ENTEROSCOPE" patented technology

The invention relates to the technical field of computer vision and medical image processing, in particular to an intra-intestinal monocular pose estimation method based on diffusion model deformation field prediction, which comprises the following steps of: inputting two frames of enteroscopy images of an intestinal capsule robot with adjacent time sequences, respectively extracting image features of front and back frames of enteroscopy images through a parameter-shared double-path depth map generation network, and generating corresponding depth maps; solving six-degree-of-freedom pose parameters of the intestinal capsule robot by utilizing the pose estimation network; generating a three-dimensional non-rigid deformation field through the non-rigid deformation field prediction network based on the physical regularization diffusion model; reconstructing a composite image aligned with the real previous frame of enteroscope image through an image synthesis module; completing self-supervised training; the problems that in an existing intestinal capsule robot positioning technology, a non-rigid deformation field lacks biophysical constraints, three-dimensional reconstruction geometric distortion is caused by monocular information, and collaborative optimization is lacked in deformation field and pose parameter decoupling are solved.

The invention discloses a method and a system for identifying the intestinal tract cleaning level of an enteroscopy patient. The method comprises the following steps: acquiring a multi-angle dirt image set of intestinal tract excretion of a patient to be subjected to enteroscopy; for each dirt image in the dirt image set, extracting a feature vector of each dimension feature related to the intestinal tract cleaning degree in the dirt image; for each dimension feature, combining all feature vectors of the extracted dimension feature to obtain a combined feature vector; and based on the combined feature vector corresponding to each dimension feature, utilizing a machine learning algorithm to evaluate the intestinal tract cleaning level of the patient. According to the embodiment of the invention, by comprehensively considering the multi-dimensional features and fully utilizing the advanced machine learning technology, objective evaluation of the intestinal tract cleaning level of the enteroscopy patient is realized, and the accuracy and reliability of the evaluation result are enhanced.

The invention belongs to the technical field of image detection, and discloses an enteroscopy auxiliary diagnosis method and system based on artificial intelligence, and the method comprises the steps: obtaining enteroscopy image data in an enteroscopy process, and synchronously extracting corresponding auxiliary collection information from the enteroscopy image data; caching the enteroscope image data and the auxiliary acquisition information frame by frame and keeping timestamps aligned; performing standardized correction and adaptive enhancement processing on the enteroscope image data after timestamp alignment; a self-adaptive gamma dynamic enhancement mechanism is introduced, and intestinal tract wrinkles are reserved to obtain an enhanced image; lesion positioning and category screening are conducted on the enhanced image through the target detection model, multi-scale feature aggregation and time sequence consistency constraint are conducted in combination with auxiliary collection information, and lesion candidate areas are generated; performing morphological, texture and boundary structure analysis on the lesion candidate region, and extracting lesion morphological features; and the efficiency and the reliability of enteroscopy diagnosis can be improved.

The invention relates to the technical field of medical health and artificial intelligence, and discloses an AI reminding method for a gastroenterology department enteroscope patient to take a laxative, comprising the following steps: S1, guiding the patient to enter an AI interaction interface through a two-dimensional code or an applet entry; s2, generating a personalized medication scheme according to the basic information and the real-time data input by the patient; s3, ensuring that the patient completes an intestinal tract preparation process through a staged guidance and real-time reminding function; s4, performing abnormal reaction identification according to real-time feedback data input by the patient, and adjusting subsequent operation suggestions; and S5, screening potential drug interaction through the integrated drug database, and providing a safe drug use prompt. Personalized data such as age, weight, basic diseases, daily medication and daily work and rest of a patient are collected through the personal information input module, the medication scheme generation module calls a preset algorithm to calculate the optimal medication dosage, medication time nodes are determined, and diet suggestions are generated.

The invention provides an effective mucous membrane coverage rate-based colonoscope retreating quality real-time evaluation method and system, and relates to the technical field of medical image calculation and processing. The colonoscope retreating quality real-time evaluation method based on the effective mucous membrane coverage rate comprises the steps that a retreating video is obtained, and the retreating video comprises a real-time retreating video and a historical video; preprocessing the mirror retreating video to obtain an optimized data set; extracting effective frames based on the optimized data set; and inputting the effective frame into a preset image segmentation model to obtain an effective colonic mucosa coverage rate which is used for evaluating the despeculation quality. According to the colonoscope retreating quality real-time evaluation method based on the effective mucous membrane coverage rate, the technical problem that the clinical colonoscope retreating process lacks real-time supervision and feedback in the prior art is solved.

The invention discloses an intestinal polyp identification method based on images and multi-modal data. The method comprises the following steps: acquiring pathological images of a plurality of microscopes, objective magnification information corresponding to the pathological images, and text information corresponding to enteroscopes; performing data preprocessing on each frame of acquired pathological image and text information to obtain a training data set; a multi-scale multi-modal feature classification network is constructed, the training data set is used for training, and a trained multi-scale multi-modal feature fusion classification network is obtained; the method comprises the following steps: collecting a microscope pathological image of a patient, obtaining corresponding enteroscope text information, respectively carrying out data preprocessing, and inputting into a multi-scale multi-modal feature fusion classification network to obtain disease category prediction of a model. According to the method, pathological images and enteroscope text information are fully fused, accurate classification and prediction of disease types are finally achieved, the effect and efficiency of multi-modal diagnosis of intestinal diseases are improved, and therefore the accuracy of patient diagnosis is improved.

The invention relates to the technical field of tumor risk assessment, in particular to an intestinal tumor risk assessment method based on image analysis, and the method comprises the steps: carrying out the continuous image division and parameter collection; identifying abnormal density image blocks; identifying concerned risk image blocks; judging a response risk image block; adjusting a preset synchronization degree risk threshold value; early warning judgment is carried out, and a serious early warning report is generated. According to the method, a self-adaptive and dynamically-adjusted three-level judgment system is established through real-time collaborative analysis of multi-dimensional parameters of an enteroscope image block, firstly, a suspected focus is locked based on the texture change duration, then, the focus characteristics are verified through vascular abnormality and contrast fluctuation depth, and finally, the accuracy of the focus is improved. And finally, the risk threshold is corrected in combination with intestinal wall peristalsis and the lens shielding degree, so that the problem of low early flat tumor recognition accuracy caused by insufficient flat tumor image feature capture due to excessive dependence on intestinal environment microorganism and metabolite biochemical detection is effectively solved.

The invention discloses an inflammatory bowel disease classification method and system based on deep learning. The method comprises the following steps: acquiring an original RGB image of an enteroscope; constructing a classification model based on a convolutional neural network; inputting an original colonoscope RGB image into a backbone network of the classification model, generating a space attention graph through multi-stage cascade processing of a convolution unit and a double-branch statistics-receptive field attention module, and inputting the space attention graph into a cross-stage attention fusion module; an original colonoscope RGB image is input into an endoscope depth-of-field feature extractor, and the endoscope depth-of-field feature extractor extracts multiple pieces of depth-of-field information of the colonoscope and inputs the depth-of-field information into a multi-scale visual Transform encoder; the cross-stage attention fusion module utilizes a dynamic feature fusion mechanism, combines a multi-scale visual Transform encoder, and dynamically weights and fuses the space attention map and Transform features to generate global features. According to the technical scheme, the visual features and the anatomical structure features of the enteroscopy image are fused, and the recognition precision is improved.

The utility model discloses an improved excretion protection bag suitable for an enteroscope, and belongs to the technical field of medical care appliances. An improved excretion protection bag suitable for an enteroscope comprises an ostomy bag body, an inlet and an outlet are formed in the two ends of the ostomy bag body respectively, an adhesive panel is fixedly connected to the outer surface, close to the inlet, of the ostomy bag body, a finger stall is fixedly connected to the interior of the outlet, and the enteroscope is arranged at the other end of the finger stall. The colonoscope is inserted into the ostomy bag body in a penetrating mode and extends out of the inlet, a negative pressure suction connector is arranged at the bottom of the ostomy bag body, a negative pressure suction tube is fixedly connected to the end of the negative pressure suction connector, a negative pressure bottle is arranged at the other end of the negative pressure suction tube, and a ventilation tube is arranged at the end of the negative pressure bottle. According to the utility model, the protection effect can be effectively and obviously reflected, so that medical personnel, the surrounding environment and the ground are not polluted, the skin of a patient is protected from being damaged, and the skin of the patient is kept dry and clean.

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.

1. The name of this design product: Colonoscope. 2. Purpose of this design product: This design product is used for colonoscopy. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

The present invention relates to the field of image processing technology, and particularly to a method and system for evaluating the size of colon polyps based on multi-frame matching. A video stream to be evaluated of a colonoscope is obtained, and a colon polyp detection model is used to determine whether there are polyps in the video frames to be evaluated therein. When there are polyps, the position information of the polyps is obtained and the image similarity between two adjacent frames of N subsequent video frames of the video frame to be evaluated is calculated. When the image similarity meets a preset condition, a depth estimation model is used to generate a corresponding depth map. According to the position information of the polyps and the polyp depth information in the depth map, the size of the polyps in the subsequent video frames is calculated. The sizes of the polyps in each subsequent video frame are weighted and calculated, and the standard polyp size of the video stream to be evaluated of the colonoscope is output. The present invention can better predict the depth information of images in a real colonoscope, eliminate the influence of polyp blurring, smooth the display of polyp size output, measure the size of polyps more accurately, and help endoscopic doctors make better decisions.

The invention relates to an enteroscope navigation method based on entry image features, in particular to an enteroscope navigation method based on entry image features. The objective of the invention is to solve the problem of low accuracy of forward direction prediction and safe distance discrimination of an existing enteroscope navigation method. The invention provides a Vision Transform-based enteroscope image direction prediction model, pre-training of unlabeled data is carried out in combination with self-supervised learning, and prediction and visual labeling of the forward direction of an enteroscope are realized through supervised fine tuning. The method comprises the following steps: firstly, carrying out self-supervised learning by utilizing a large number of unmarked enteroscopy images to reconstruct tasks to obtain efficient visual representation, so as to learn intestinal anatomical structure features; subsequently, supervised fine adjustment is performed on a small amount of labeled data, so that the accuracy of prediction of the forward direction of the enteroscope and judgment of the distance between the lens and the intestinal wall is improved. The method is applied to the field of enteroscope navigation.

The application discloses a system for gastrointestinal signal detection during endoscopy, which comprises a gastroscope or enteroscope system and a real-time signal monitoring system. The real-time signal monitoring system comprises a real-time signal receiving unit, which is in communication with the operation channel of the gastrointestinal endoscopy system, for receiving the pressure value of the in-vivo end of the gastroscope or enteroscope system in real time, and is internally provided with a micro pressure sensor and a wireless signal sending module; a signal display and processing unit, which is internally provided with a wireless signal receiving module, and the real-time pressure value sent back wirelessly by the wireless signal receiving module is displayed by constructing a pressure curve; and a connecting structure for connecting the real-time signal receiving unit with the gastroscope or enteroscope system, which is set by a wireless signal transmission mode in the real-time signal receiving unit and the signal display and processing unit, so that the real-time signal receiving unit can wirelessly transmit the pressure value received in real time to the signal display and processing unit, and a pressure curve is constructed, and clinical diagnosis is performed according to the pressure curve.

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.

The utility model relates to a sorting tray, in particular to a multifunctional sorting tray for endoscopy. Comprising an arrangement disc body, a gastroscope wrapping area, a gastroscope biopsy forceps area, a protruding block, an enteroscope biopsy forceps area, a cloth area, a gastroscope glue area, an enteroscope glue area, a filter paper area, a haemostatic forceps area and the like. A baffle is arranged on the upper side of the arrangement disc body in the circumferential direction, the left portion of the upper side of the arrangement disc body is divided into a front area, a middle area and a rear area, the rear portion of the arrangement disc body is divided into a gastroscope wrapping area, a gastroscope biopsy forceps area and an enteroscope biopsy forceps area from left to right, and a plurality of protruding blocks are arranged on the gastroscope biopsy forceps area and the enteroscope biopsy forceps area on the upper side of the arrangement disc body. The baffles at the gastroscope biopsy forceps area and the enteroscope biopsy forceps area are in an inclined state, and the middle part of the left part of the upper side of the arrangement disc main body is provided with a material distribution area, a gastroscope glue area and an enteroscope glue area from left to right. According to the utility model, the upper side of the sorting tray main body is divided into a plurality of areas, so that medical personnel can quickly find and take required articles, and the working efficiency is improved.

The application discloses a polyp segmentation method based on SAM boundary enhancement and uncertainty guidance, aiming at the problems of high pixel-level labeling cost, blurred polyp boundary, difficult cross-scale feature alignment and poor effect of SAM direct migration to a medical scene in the polyp segmentation task under enteroscopy, fusing the hierarchical feature extraction ability of Res2Net-50, the general segmentation ability of SAM, combining core strategies such as boundary enhancement, uncertainty guidance and dynamic prompt generation, and realizing high-precision polyp weakly supervised segmentation under extremely sparse scribble labeling. The application significantly improves the spatial calibration accuracy of the model in a low-contrast environment, eliminates noise interference, and effectively solves the problem of supervision imbalance caused by the large size difference of lesions in an endoscope image.

The utility model discloses an anti-pollution enteroscope assist device, and relates to the technical field of medical equipment. Comprising a rotating plate and an auxiliary clamping structure, the auxiliary clamping structure is arranged on the rotating plate and comprises a lower half clamping frame, a rotating clamping frame, an extending half frame, a lantern ring and a rubber ring, one side of the outer wall of the lower half clamping frame is fixedly arranged on the rotating plate, one side of the outer wall of the rotating clamping frame is rotationally embedded in the rotating plate, one side of the outer wall of the extending half frame is fixedly arranged on the rotating plate, and the lantern ring is arranged in the extending half frame. The inner wall of the lantern ring is slidably arranged on the extending half frame in a sleeving mode, and one side of the outer wall of the rubber ring is fixedly arranged on the lantern ring. By means of the lower half clamping frame, the rotary clamping frame, the extending half frame, the lantern ring and the rubber ring, the auxiliary part of the enteroscope can be fixed to the bedside, the enteroscope penetrates through the auxiliary part and slowly stretches into the large intestine, the enteroscope is supported and is more stable in the stretching process, medical workers can conveniently free hands to conduct other detection operation, and the labor intensity of the medical workers is relieved. And convenience is provided for medical staff.

The invention relates to the technical field of medical supplies, and discloses a slidable inflatable enteroscope plugging structure which comprises an enteroscope tube, the outer surface of the enteroscope tube is movably sleeved with an air bag ring, the side edge of the air bag ring is provided with a sleeve, the side edge of the sleeve is provided with a locking assembly, the sleeve is internally provided with a stabilizing assembly, and the stabilizing assembly is connected with the air bag ring. The locking assembly comprises a rotating disc movably arranged on the side edge of the sleeve, folding plates are arranged on the side edge of the sleeve in an annular array mode, and transmission rods are fixedly connected to the outer surfaces of the folding plates. By arranging the air bag ring and the locking assembly, the air bag ring can be rapidly attached to the crissum to achieve blocking after being inflated, intestinal tract gas loss is avoided, the intestinal tract inflation expansion effect is guaranteed, precise observation and diagnosis and treatment of lesion are assisted, the folding plate is driven by the rotary disc to annularly clamp the enteroscope tube, firm locking is achieved through cooperation with the rubber sheet, and the air bag ring is prevented from deviating; the enteroscope tube can be prevented from being damaged by rigid clamping, and the stability of the plugging position of the air bag ring is guaranteed.

The invention provides an enteroscopy auxiliary device which comprises a patch body and a pasting part arranged on the patch body, the patch body can completely cover the anus area, and the pasting part is used for forming a relatively closed space between the patch body and the anus; an enteroscope insertion hole is formed in the patch body and is connected with an enteroscope in a sliding and sealing manner; the pasting part comprises a first pasting assembly which is of a spiral closed structure and is arranged around the endoscope insertion hole, and the fitting degree of the patch body and the skin around the anus is enhanced; a first filling protrusion is arranged at the position, corresponding to the hip and hip cleavage, of the pasting face of the first pasting assembly, the sealing effect is further improved, and gas leakage is effectively prevented. The auxiliary device is simple in overall structure and reasonable in design, does not need to make direct contact with the anus of a patient, does not need a complex air bag structure, not only reduces the cost, but also can adapt to the body types and sphincter relaxation degrees of different patients, is more reliable, convenient and comfortable, and is wide in application range.

The application provides an intestinal preparation quality real-time evaluation and whole-process management system based on artificial intelligence, which comprises the following functions: patient end provides intestinal preparation start time setting, laxative type selection, examination process and matters needing attention query and online consultation function; medical staff end provides patient management, progress and cleanliness score monitoring, early warning processing, data export and message interaction function, wherein the intelligent data acquisition module acquires multi-dimensional data; the artificial intelligence dynamic scoring module analyzes the data based on a deep learning model, generates a cleanliness pre-score and determines a quality grade; the active early warning and intervention module analyzes the data in real time, issues an early warning and provides intervention suggestions; the medical examination result closed-loop verification module receives the doctor's score after colonoscopy, compares and analyzes the pre-score, and optimizes the evaluation model. The application realizes the standardized guidance, active risk early warning and closed-loop optimization management of the intestinal preparation process, effectively improves the preparation quality, guarantees the safety of patients and optimizes the clinical decision-making.

The application provides an enteroscope video intelligent detection method and device based on double-system cascade decision, and belongs to the technical field of computer vision. The device comprises: a rapid screening module, which extracts multi-dimensional feature information from an input enteroscope video stream, calculates a diagnosis value score of a current frame according to the multi-dimensional feature information, compares the diagnosis value score with a dynamic screening threshold, and screens out a high-value frame. An accurate detection module is used for target detection on the high-value frame, and outputs a detection result and a confidence. The accurate detection module at least comprises a reference frame dynamic selection mechanism based on screening decision and a time sequence consistency mechanism based on feature fusion constraint. A cooperation optimization module receives the target detection result and the detection confidence, generates a feedback control signal for dynamically correcting the dynamic screening threshold based on multi-dimensional indexes of the target detection result, and realizes dynamic adjustment of detection.

The invention provides a magnetic control capsule endoscope robot with a puncture biopsy taking function. Comprising a biopsy puncture needle module located at the front end, a capsule shell module, a fixing leg located at the tail end, a waterproof plug, a cam, a height-variable rotating ring device, an internal magnet, a camera module, a positioning pin, a positioning pin, a spring, a rotating table device and an external magnet. A traditional enteroscopy mode is replaced, and the workload of enteroscopy doctors and the pain degree of patient examination are reduced.

This invention provides an anti-displacement fixator for endoscopic surgery. Through designs including fixed-end directional constraint, multi-axis adjuster for flexible adjustment, positioning pin locking, and adaptable elastic fastening components, the fixed end restricts the endoscope's movement along its central axis via a sleeve. Combined with an elastic strip and fastening nut, temporary intraoperative fixation is achieved to prevent unintended displacement. The positioning pin and arc-shaped block on the ball sleeve can fix single-axis movement during intraoperative observation and pausing, offering convenient operation and reliable locking. The snap-on installation facilitates disassembly, and the elastic sleeve diameter is adjustable to accommodate different types (colonoscopes / gastroscopes) and diameters of endoscopes. This effectively solves problems such as unstable operation, limited adjustment, and poor compatibility in existing endoscopic surgeries, improving surgical precision and safety. This application can reduce surgical manpower, allowing a single surgeon to perform precise operations without needing to use their right hand for support, freeing up their right hand for easier scalpel control, and eliminating the need for another surgeon to hold the endoscope, thus saving the manpower of one surgeon.

The utility model provides an abdomen pressing device for assisting an enteroscopy operation, which comprises a first fixing component, a first adjusting mechanism is mounted on the first fixing component, and a second adjusting mechanism is mounted on the first adjusting mechanism; the first adjusting mechanism comprises a first supporting piece, and a first connecting adjusting piece is arranged on the first supporting piece; the second adjusting mechanism comprises a second supporting piece, and a second connecting adjusting piece is arranged at the joint of the second supporting piece and the first supporting piece. A pressing piece is arranged at the end, away from the first supporting piece, of the second supporting piece. The device can be fixed to a designated position of an examination bed through the first fixing assembly, and the first adjusting mechanism and the second adjusting mechanism can play a role in adjusting the distance and the angle between the pressing piece and a patient, so that the pressing piece and the abdomen of the patient are located at proper positions, and continuous pressure is provided for the abdomen of the patient; manual pressing is replaced, and the working intensity of nurses is relieved; long-time enteroscopy operation is achieved, and manpower for pressing the abdomen in turn is prevented from being increased.

The utility model discloses a water injection pump instant heater for an endoscope room, which comprises a shell, a pipe placing hole is arranged at the circle center of the upper surface of the shell, a heating sheet for heating a drainage pipe is arranged on the inner wall of the pipe placing hole, the shell comprises a left shell and a right shell, the left shell and the right shell are horizontally and symmetrically arranged, an existing water injection pump bucket is provided with a bucket cover, the bucket cover is externally connected with the drainage pipe, and the drainage pipe is connected with the water injection pump. And the drainage tube is clamped and fixed between the side wall of the left shell tube placing hole and the side wall of the right shell tube placing hole. The connecting surfaces of the left shell and the right shell are respectively provided with a plug and a socket, and the plug is inserted into the socket, so that the left shell is electrically connected with the right shell. The heater can be rapidly installed on the drainage tube of the water injection pump and heat the drainage tube, normal saline is prevented from being cold, the comfort degree of a patient when the normal saline is injected into the intestinal tract can be improved, the situation that the intestinal tract wall is stimulated by cold water is reduced, the peristalsis of the intestinal tract and the spasm of the intestinal tract are reduced, and the operation difficulty of an enteroscope is lowered.

The utility model discloses a prevent titanium clamp from blocking endoscope channel transparent tube cap of filter disc of movable tongue board formula, belong to medical instrument technical field, it is in solving the current gastrointestinal endoscopy postoperative endoscope review in endoscope channel is blocked by titanium clamp, and endoscope transparent cap structure needs improvement's problem. It adopts endoscope channel transparent cap body to be the transparent tube cap body of convex pipe body, and the cooperation of the transparent tube cap body connection endoscope's inner tube cavity is equipped with endoscope fastening ring and pipe mouth portion and is provided with transparent cap inner core cover link and is equipped with endoscope tube cap filter disc and is combined and is connected to become the filter type endoscope transparent tube cap body of integral whole, the endoscope tube cap filter disc is movable tongue board formula endoscope filter disc, the filter type endoscope transparent tube cap body rear is equipped with endoscope head connecting pipe. Its whole structure novel practical, no block, be applicable to the endoscope of microtrauma operation of gastric mirror or enteroscope operation.

The invention discloses a method for assisting in improving Boston scoring precision of AI calculation by using enteroscope retreating speed, and belongs to the crossing field of enteroscopy and artificial intelligence technology. The method mainly comprises the following steps: in an enteroscope retreating stage, starting an AI calculation Boston scoring module and a retreating speed calculation module on the basis of a preset condition, synchronously obtaining scores and retreating speeds, and storing the scores and the retreating speeds in sequence; accumulating the mirror retreating speed to generate a coordinate sequence, and determining the length of the intestinal tract after sorting; dividing the intestinal tract into a plurality of sections and distributing corresponding coordinate sequences; and calculating the average cleanliness of each segment by adopting an integral algorithm in combination with the coordinate difference values in the segments and the corresponding scores, and summarizing to obtain a final score. According to the method, the problem of score weight imbalance caused by regional residence time difference in the prior art is solved, the Boston score accuracy and reliability are improved, the method is adaptive to the intestinal individual difference of patients, and reliable support is provided for intestinal lesion investigation and clinical diagnosis and treatment.

1. Name of the design product: Display model (colonoscopy position). 2. Use of the design product: It is used to imitate the colonoscopy position, provide an intuitive visual reference for patients, and enable them to quickly understand the method of correct position placement. 3. Design key points of the design product: It lies in the combination of shape and pattern. 4. Picture or photo that best shows the design key points: Perspective view 1. 5. The bottom surface of this design product is a part that is not easily seen or not seen during use, so the bottom view is omitted.

The utility model discloses an outer cannula for enteroscopy, which comprises a cannula main body, a solution injection port arranged at the upper end of the cannula main body, a handheld tube connected to one end of the cannula main body, an air bag mounted on the outer wall of the cannula main body, an air vent connected to the outer side of the air bag, and an air pump connector connected to the bottom of the handheld tube. An inflation bag is installed in the handheld pipe, an inflation edge is arranged on the surface of the inflation bag, a rubber layer A is arranged on the outer side of the sleeve body, a bamboo fiber layer A is connected to one side of the rubber layer A, a transparent plastic layer is arranged at the bottom of the bamboo fiber layer A, a bamboo fiber layer B is connected to one side of the transparent plastic layer, and a rubber layer B is arranged on one side of the bamboo fiber layer B. Due to the design of the inflation bag and the inflation edge, the inflation process of the outer sleeve is more convenient and quicker. By arranging the air pump connector, a doctor can easily inflate the inflatable bag through an external air pump, and then the enteroscope can be clamped.