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An endoscope and accessories is a device used to provide access, illumination, and allow observation or manipulation of body cavities, hollow organs, and canals. The device consists of various rigid or flexible instruments that are inserted into body spaces and may include an optical system for conveying an image to the user's eye and their accessories may assist in gaining access or increase the versatility and augment the capabilities of the devices. Examples of devices that are within this generic type of device include cleaning accessories for endoscopes, photographic accessories for endoscopes, nonpowered anoscopes, binolcular attachments for endoscopes, pocket battery boxes, flexible or rigid choledochoscopes, colonoscopes, diagnostic cystoscopes, cystourethroscopes, enteroscopes, esophagogastroduodenoscopes, rigid esophagoscopes, fiberoptic illuminators for endoscopes, incandescent endoscope lamps, biliary pancreatoscopes, proctoscopes, resectoscopes, nephroscopes, sigmoidoscopes, ureteroscopes, urethroscopes, endomagnetic retrievers, cytology brushes for endoscopes, and lubricating jelly for transurethral surgical instruments. This section does not apply to endoscopes that have specialized uses in other medical specialty areas and that are covered by classification regulations in other parts of the device classification regulations.
Enteroscope polyp size evaluation method and system based on multi-frame matching
The invention relates to the technical field of image processing, in particular to an enteroscope polyp size evaluation method and system based on multi-frame matching, and the method comprises the steps: obtaining a to-be-evaluated video stream of an enteroscope, and judging whether a polyp exists in a to-be-evaluated video frame through an intestinal polyp detection model; when the to-be-evaluated video frame exists, acquiring the position information of the polyp and calculating the image similarity of two adjacent frames of N subsequent video frames of the to-be-evaluated video frame; when the image similarity meets a preset condition, generating a corresponding depth map by using a depth estimation model; calculating the polyp size of the subsequent video frame according to the position information of the polyp and the polyp depth information in the depth map; and performing weighted calculation on the polyp size of each subsequent video frame, and outputting the standard polyp size of the to-be-evaluated video stream of the enteroscope. The method can better predict the depth information of the image in the real enteroscope, eliminate the influence of polyp blurring and smooth polyp size output display, more accurately measure the size of the polyp, and help an endoscopy doctor to make a decision better.
Owner:SUZHOU LINGYING YUNNUO MEDICAL TECH CO LTD
Intestinal monocular pose estimation method based on diffusion model deformation field prediction
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.
Owner:ZHONGBEI UNIV
Enteroscope anal dilatation detection device for gastroenterology department
ActiveCN222640448UReduce workloadImprove convenienceSurgeryRectum colonoscopesElectric machineryGastroenterology department
The utility model relates to the technical field of enteroscopy detection, in particular to an anal dilatation device for enteroscopy detection in the gastroenterology department, which comprises a sleeve, extending petals which are symmetrically distributed are arranged at one end of the sleeve, and connecting plates which are symmetrically distributed are fixedly mounted at the ends, close to the sleeve, of the two extending petals. And the extending petals are hinged to the outer wall of one end of the sleeve through connecting plates. According to the enteroscope detection anal dilatation device for the gastroenterology department, through cooperative use of the sleeve, the stretching valve, a reset spring, a fixing block, a pull rope, a winding frame, a supporting plate, a mounting groove, a worm gear, a fixing cavity, a worm, a gear, a motor, a connecting plate and a transmission shaft, in the use process, the stretching valve is opened and closed through mechanical driving, and in the actual operation process, the stretching valve is not prone to falling off; a doctor can easily achieve the effect of expanding the anus of a patient only by controlling opening and closing of the stretching-in valve through the control button, manual adjustment of a mechanical structure is not needed, and the workload of the doctor is reduced.
Owner:吕阳
Enteroscope image enhancement method based on improved generative adversarial network
The invention provides an enteroscopy image enhancement method based on an improved generative adversarial network, and relates to the field of image data processing. The invention provides an enteroscopy image data processing flow, which comprises the steps of acquiring enteroscopy image data, constructing a generator, constructing a discriminator, constructing an enteroscopy image enhancement model and acquiring an enteroscopy enhanced image, the generator is based on a ResUNet encoder-decoder structure, combines a double-branch attention mechanism, extracts multi-scale features of an enteroscopy image, and obtains the enteroscopy enhanced image. The features of the key areas of the image are enhanced by fusing the features of different scales, and an enhanced enteroscope image is generated; wherein the discriminator is composed of multiple layers of convolution, the enhancement effect of the generated image is evaluated in combination with a specific loss function, and the generator is guided to generate a high-quality enteroscope enhanced image through a feedback mechanism.
Owner:DONGFANG HOSPITAL BEIJING UNIV OF CHINESE MEDICINE
Method and system for identifying intestinal tract cleaning level of enteroscopy patient
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.
Owner:THE FIRST PEOPLES HOSPITAL OF WUYI COUNTY ZHEJIANG PROVINCE
Pneumatic soft robot for assisting detection of enteroscope
ActiveCN119523390Acontact safetyAchieving painless access to the mirrorSurgeryEndoscopesPhysical medicine and rehabilitationSmall intestine
The pneumatic soft robot comprises a front air bag, a corrugated pipe and a rear air bag which are sequentially and coaxially connected, the front air bag, the corrugated pipe and the rear air bag are all provided with independent ventilation air paths, and the front air bag and the rear air bag can achieve radial volume expansion by means of inflation. Therefore, anchoring in the small intestine is achieved, and the corrugated pipe can stretch out and draw back in the axial direction by means of air inflation. Different from a previous intestinal tract detection pneumatic robot, the core idea of the invention is that the small intestine is dragged by using the pneumatic robot, the robot does not need to crawl in the small intestine, a traditional enteroscope outer sleeve operation mode can be replaced, and medical personnel can conveniently carry out related detection.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Outer sleeve structure of biliary tract endoscope
The invention relates to the technical field of medical instruments, in particular to a sleeve structure of a biliary tract endoscope. Comprising at least one closed external pipeline, and the external pipeline is fixed to the outer surface of the inner diameter pipe body through a fixing structure in the length direction of the endoscope pipe body. The external pipeline is provided with ports communicated with the outer space of an instrument channel at the two ends of the instrument channel, penetrating through the enteroscope, of the biliary tract endoscope respectively, a hard sleeve head fixed to an endoscope pipe body is arranged on the port, close to the end of the biliary tract endoscope, of an endoscope lens, and the hard sleeve head is provided with a channel opening communicated with the external pipeline; the end face, provided with the channel opening, of the hard sleeve head is provided with a blocking head which surrounds the endoscope lens and protrudes outwards, the blocking head is provided with a sliding way which is communicated with the channel opening and extends towards the endoscope lens, and the front portion, facing the advancing direction of the endoscope tube body, of the blocking head is further provided with an arc-shaped head which shields the sliding way and provides guiding. The endoscope tube fixing device is simple in structure, and the endoscope tube body can be fixed, adsorbed and supported through the arranged hard sleeve head structure.
Owner:CHENGDU MILITARY GENERAL HOSPITAL OF PLA
Enteroscope auxiliary diagnosis method and system based on artificial intelligence
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.
Owner:SHANGHAI HAOKANGYUN MEDICAL TECHNOLOGY DEVELOPMENT CO LTD
AI reminding method for gastroenterology department enteroscope patient to take laxative
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.
Owner:NINGBO FIRST HOSPITAL
Multi-modal knowledge decomposition-based rectal cancer neoadjuvant therapy curative effect prediction method and system
ActiveCN119324061AReduce redundant informationreduce distractionsImage enhancementMedical data miningData treatmentUnsupervised clustering
The invention belongs to the technical field of medical data processing, and discloses a rectal cancer neoadjuvant therapy curative effect prediction method and system based on multi-modal knowledge decomposition. The invention provides a multi-modal data fusion algorithm based on multi-modal knowledge decomposition, which decomposes multi-modal data into a plurality of independent modal knowledge, and does not lose important inter-modal complementary information while reducing redundant information. According to the method, the unsupervised clustering algorithm and the supervised CNN algorithm are used at the same time, and compared with a traditional image selection method only using unsupervised random selection or based on information entropy, the interference of noise data on image screening can be reduced, so that representative enteroscope images and CT images can be selected.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Enteroscope retreating quality real-time evaluation method and system based on effective mucous membrane coverage rate
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.
Owner:WEST CHINA HOSPITAL SICHUAN UNIV
Intestinal polyp identification method based on image and multi-modal data
ActiveCN120808342ABiological modelsAcquiring/recognising microscopic objectsData setIntestino-intestinal
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.
Owner:ZHEJIANG UNIV
Intestinal tumor risk assessment method based on image analysis
InactiveCN120766974AHealth-index calculationCharacter and pattern recognitionAbnormal densityIntestinal walls
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.
Owner:SHANDONG PROVINCIAL HOSPITAL AFFILIATED TO SHANDONG FIRST MEDICAL UNIVERSITY (SHANDONG PROVINCIAL HOSPITAL)
Deep learning-based inflammatory bowel disease classification method and system
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.
Owner:ARMY MEDICAL UNIV
Digestive soft endoscope liquid perfusion device
The utility model discloses a liquid perfusion device for a digestive soft endoscope. The liquid perfusion device comprises an enteroscope connecting end, a hose section, a flow regulator, a perfusion tube and a sterile water connecting end, a hose section and a flow regulator are arranged in the middle of the perfusion tube; one end of the perfusion tube is an enteroscope connecting end, and the other end of the perfusion tube is a sterile water connecting end. The hose section and the flow regulator are arranged in the middle of the perfusion tube, so that the perfusion tube can be conveniently connected with a water pumping system of an enteroscope, and the perfusion flow can be regulated according to the process of enteroscope examination; besides, the enteroscope connecting end and the sterile water connecting end are arranged at the two ends of the perfusion tube respectively, so that the enteroscope end, the water pumping system and the sterile water connecting part are integrally designed, and the perfusion tube can be clinically used in a disposable mode and better meets the infection control requirement.
Owner:THE FIRST AFFILIATED HOSPITAL OF SUN YAT-SEN UNIV GUANGXI HOSPITAL
Improved excretion protection bag suitable for enteroscopy
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.
Owner:SUN YAT SEN MEMORIAL HOSPITAL SUN YAT SEN UNIV
Enteroscopy bed
The utility model belongs to the technical field of medical instruments, and particularly relates to an enteroscopy bed which comprises a main bed body, a leaning plate, a supporting table and a positioning boss. A flow guide opening is formed in the main bed body, the leaning plate is connected to the end of the main bed body and used for allowing a patient to lean on, the positioning boss is fixed to the main bed body, an enteroscope guide hole is formed in the positioning boss, the supporting table is connected to the upper portion of the positioning boss, and the supporting table is connected to the lower portion of the supporting table. The supporting table is provided with a supporting groove allowing the shanks of a patient to be embedded therein, and two symmetrically-distributed side baffles are fixed between the main bed body and the positioning boss. The positioning boss is used for positioning the buttocks of a patient, the supporting table is used for supporting the shanks of the patient, overflowing excrement residues are guided out through the flow guide opening, the positioning boss is matched with the side baffle, the excrement residues can be effectively prevented from being sprayed and splashed, and the safety of the medical environment is guaranteed.
Owner:SHENZHEN CHILDRENS HOSPITAL
Lubricant smearing device for surface of endoscope
InactiveCN119632480Areduce frictionavoid cross infectionSurgeryEndoscopesEndoscopeBiomedical engineering
The invention discloses an endoscope surface lubricant smearing device, and relates to the technical field of lubricant smearing, the endoscope surface lubricant smearing device comprises a bottom plate, a shell is fixed to the top surface of the bottom plate, mounting holes are formed in the four edges of the top surface of the bottom plate, a lifting assembly is fixed to the bottom end of the interior of the shell, and the lifting assembly comprises an electric telescopic rod; according to the enteroscope feeding device, lubricating oil is evenly smeared on the surface of the part, entering the body, of the enteroscope body in the enteroscope feeding process, the lubricating oil on the surface of the enteroscope body in the enteroscope feeding process is scraped away through an arc-shaped scraping plate, and therefore the enteroscope can be conveniently fed into the enteroscope; therefore, in the endoscope entering process, the endoscope body in the body is sufficiently lubricated, excessive stretching of the enteric cavity is reduced, the intestinal tract is better shortened, shrunk and telescoped, the endoscope entering efficiency is improved, the endoscope body at the handheld operation position outside the body is free of redundant lubricant residues, slipping is avoided, and operation is convenient.
Owner:HANGZHOU THIRD PEOPLES HOSPITAL (HANGZHOU HUIMIN HOSPITAL HANGZHOU THIRD AFFILIATED HOSPITAL OF ZHEJIANG UNIV OF TRADITIONAL CHINESE MEDICINE)
Intestinal tract cleaning grade judgment and recognition system for enteroscopy patient
PendingCN121962024AFully automatedQuickly master cleanliness assessment skillsImage analysisMedical automated diagnosisFeature extractionRadiology
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.
Owner:THE FIRST PEOPLES HOSPITAL OF WUYI COUNTY ZHEJIANG PROVINCE
colonoscopy
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.
Owner:TAIHEI CO LTD
A method and system for evaluating the size of colon polyps based on multi-frame matching
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.
Owner:SUZHOU LINGYING YUNNUO MEDICAL TECH CO LTD
Enteroscope navigation method based on entry image features
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.
Owner:HARBIN INST OF TECH
A system for gastrointestinal signal exploration during endoscopy
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.
Owner:PEKING UNION MEDICAL COLLEGE HOSPITAL
A method for predicting biological age based on colonoscopy pictures
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.
Owner:FUDAN UNIVERSITY
Multifunctional arrangement disc for endoscopy
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.
Owner:FIRST AFFILIATED HOSPITAL OF GANNAN MEDICAL UNIV
Polyp segmentation method based on SAM boundary enhancement and uncertain guidance
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.
Owner:NANTONG UNIV
Anti-pollution enteroscope assist device
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.
Owner:赖莹莹
Slidable inflatable enteroscope plugging structure
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.
Owner:SIR RUN RUN HOSPITAL NANJING MEDICAL UNIV
Auxiliary device for enteroscopy
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.
Owner:TONGJI HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI TECH
An artificial intelligence-based real-time evaluation and whole-process management system for bowel preparation quality
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.
Owner:THE FOURTH AFFILIATED HOSPITAL OF ZHEJIANG UNIV SCHOOL OF MEDICINE