49 results about "Colonoscopes" patented technology

The invention is a device that improves safety and efficiency of colonoscopy by preventing loop formation. It is the plastic overtube with the longitudinal split. The split allows the placement over the shaft of the endoscope when colonoscopy is already in progress and a loop is formed that hinders the further endoscope insertion. The overtube is segmented by oval openings of the split to facilitate placement and to allow using optimal lengths of the overtube. The fastening mechanism is used to close and secure the overtube on the shaft of the endoscope and then it is pushed inside the colon by sliding over the endoscope. Once in place, the overtube is kept steady and provides the semi-rigid conduit for further endoscope insertion. This conduit permits the axial force exerted by the operator to be translated to forward movement of the endoscope tip and eliminates dangerous loop formation.

Disclosed herein are methods for administering a dose of a microbiota recovery therapy composition by colonoscopy. The methods disclosed herein are useful for the treatment of diseases and / or conditions of the digestive tract, such as Clostridium difficile infection (GDI), including recurrent GDI, and other gastrointestinal disorders. The method can result in improved quality of life. These methods are capable of altering the gut microbiota composition and / or the gut metabolome composition. The microbiota recovery therapy composition comprises a fecal microbiota suspension comprising: a fecal microorganism derived from a human fecal sample, and a solution of polyethylene glycol and brine.

The invention discloses a system and equipment for predicting colorectal cancer and progression thereof. Based on the found expression level difference of AXIN2 and / or EPHB2 in colorectal cancer and the progression thereof, the invention provides a colorectal cancer and progression prediction method, system and equipment, a computer readable storage medium and a computer program product, high-risk groups can be efficiently and accurately screened out from common groups, and colonoscopy is further completed in time. While the economic burden caused by endoscopic screening is relieved, patients suffering from colorectal adenoma and early colorectal cancer are screened out, and the method has great significance in early diagnosis and treatment of colorectal tumor and further remarkable reduction of the morbidity and mortality of colorectal cancer.

This disclosure relates to a method for detecting colorectal cancer. The method comprises determining whether an advanced neoplasm is present in a first screening time period and upon determining that an advanced neoplasm is present in the first screening time period, performing colonoscopy in a second screening time period, after the first screening time period, to detect colorectal cancer. There is further provided a method for stratification of a subject comprising upon detection of an advanced neoplasm in a first screening time period, stratifying the subject into a high risk stratification for developing colorectal cancer in a second screening time period. There is further provided a computer implemented method for calculating a risk score for developing colorectal cancer comprising determining patient data; applying a trained machine learning model to the patient data to determine the risk score; and outputting the risk score.

The application discloses a colonoscopy image data enhancement method, and belongs to the technical field of computer vision, which comprises the following steps: acquiring multiple original colonoscopy images, fusing the gray information and the saturation information to obtain a set of coordinate points of the reflection area of the original colonoscopy images; calculating the set of coordinate points of the small reflection area from the set of coordinate points of the reflection area and restoring the set of coordinate points to obtain a small reflection area restoration image; converting the source image and the target domain image to the LAB color space; calculating the standard deviation and the mean value of each color channel of the source image and the target domain image except the reflection area and the dark area; migrating the color domain of the source image to the target domain corresponding to the target domain image; restoring the dark area of the migration image to obtain a color domain migration enhancement image; and composing the original colonoscopy image, the small reflection area restoration image and the color domain migration enhancement image into a colonoscopy enhancement image data set, wherein the colonoscopy enhancement image data set is used for subsequent image analysis.

The application relates to the field of medical instruments, and provides an appendix orifice supporting device for endoscopic retrograde appendix treatment, which comprises a support head, a support base, an unfolding piece, a first direction line, a second direction line and an opening and closing piece. A channel is arranged on a colonoscope. The support base is arranged around the front end of the colonoscope. The unfolding piece is arranged in at least three groups and is arranged in sequence along the support base. The opening and closing piece is located in the channel and is divided into a pushing end and a connecting end. The pushing end is located outside the colonoscope. When the pushing end is pushed, the connecting end moves along the channel and extends out of the channel. The support head is an elastic structure with expansion characteristics, and the bottom is connected with the connecting end and the unfolding piece. The application has the advantages of conveniently providing support for the appendix orifice and providing the effect of extending a sub-scope into the appendix cavity for shooting, exploration and treatment on the basis of facilitating colonoscope treatment.

Disclosed are a system and method for analyzing a stool image, which derive the state of the large intestine of a user by analyzing a stool image by using a pre-trained deep learning model. The system for analyzing a stool image may include an input unit configured to receive stool images of a user, a data set generation unit configured to generate a data set by grouping the stool images in chronological order, an analysis unit configured to derive information on a stool state of the user or information on a state of the large intestine of the user by analyzing the data set, and an output unit configured to output the information on the stool state or the information on the state of the large intestine. The endoscopic activity of ulcerative colitis can be predicted from a camera image of stool even without performing a colonoscopy.

This application relates to the field of medical data processing technology, and discloses a screening and intervention system and method for bowel preparation before outpatient colonoscopy, including: providing patients with standardized bowel preparation guidance information; receiving image data of excrement uploaded by patients after bowel preparation; inputting the image data into a pre-trained intelligent judgment model for bowel preparation quality to generate quantitative scores and pass / fail judgment results; and executing an intervention decision process based on the judgment results, including confirming the examination or triggering a rescheduling and supplemental bowel preparation medication instructions. Through the above technical solution, this application achieves objective and quantitative assessment of bowel preparation quality and closed-loop dynamic intervention before examination, effectively improving assessment accuracy, avoiding waste of medical resources, and systematically improving the overall efficiency and safety of outpatient colonoscopy.

A control system for a colonoscope having a shaft that can be deflected by two rotatable knobs is provided. The system includes a first drive unit mounted outside a colonoscope housing. The first drive unit includes a first drive mechanism for engaging the two rotatable knobs or gears in place of the two rotatable knobs. The system also includes a second drive unit attachable to the shaft of the endoscope. The second drive unit is capable of linearly translating the shaft back and forth. A user interface engageable by a palm controls the first drive mechanism.

1. The name of the design product: colonoscopy simulation training box. 2. The use of the design product: for colonoscopy and treatment simulation training. 3. The design features of the design product: in shape. 4. The picture or photo that best indicates the design features: open state perspective view 1.

The application discloses a colonoscope simulation training box and belongs to the field of medical teaching aids, which comprises a box body, a positioning structure and a traction structure. The box body comprises a wall plate and a bottom plate. The positioning structure comprises a detachable connecting holder and a fixed tube clamp. The holder is fixedly connected with the bottom plate. The positioning structure is provided with a plurality of holders. The simulation tube is of a flexible structure. The space pose of the corresponding part of the simulation tube is changed by adjusting the position and angle of the holder, and the shape of the simulation tube is changed. The traction structure is connected with the bottom plate and comprises a connecting seat and a traction line which are connected with each other. The traction line is further connected with a movable tube clamp. The movable tube clamp is detachably connected with the simulation tube. When the traction line drives the movable tube clamp to move towards the connecting seat, the included angle of the parts of the simulation tube on both sides of the movable tube clamp is reduced. Through the above arrangement, the ex vivo colon can simulate the shape in the human body, including a part of relatively fixed intestinal segments and a part of relatively free intestinal segments, and different angle of the bending angle can be simulated according to the training difficulty.

The application provides a biomarker for early colorectal cancer detection and application thereof, uses an immunoprecipitation sequencing platform (mDIP-Seq) based on high-resolution mRNA display technology, screens a plasma antibody diagnostic marker of early colorectal cancer, combines a random forest algorithm to develop a multiple antibody panel suitable for early colorectal cancer diagnosis, constructs a disease prediction model, and improves the accuracy of early colorectal cancer diagnosis. Compared with invasive colonoscopy, the method has the characteristics of low cost, generalization and high throughput, and is suitable for large-scale early colorectal cancer screening in the population.

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.

Proposed is a colonoscopy area indication method that includes loading a colonoscopy image analysis model and setting an analysis condition of the analysis model by a model loading / condition setting part, and initializing an analysis screen and displaying a picture of a normal colon by a controller, and preprocessing, by an image preprocessing part, a colonoscopy image received through an image receiving part so that subsequent image analysis is smoothly performed, and analyzing the preprocessed colonoscopy image by an image analysis part by using the image analysis model based on AI, and detecting and indicating, on the basis of a result of analysis by the image analysis part, at least one selected from a group of an examination area, a diverticulum area, and a lesion area in the colonoscopy image, and providing, by the controller, the result of analysis performed by the image analysis part.

The present disclosure relates to a system and method for generating endoscopic report guidance. The method can be applied to a computing system, or platform, having one or more component servers or computers. The computing system includes receiving patient data of a patient who has gone through a colonoscopy procedure. The computing device further receives endoscopic report data of the patient for the colonoscopy procedure. The endoscopic report data includes indication information including symptoms or reasons for the procedure, and findings and interventions information including details about abnormalities discovered and actions taken during the procedure. The computing device additionally generates, by one or more machine learning models, endoscopic report guidance based on the patient data and the endoscopic report data. The one or more machine learning models may analyze medical diagnostics to provide guidance and recommendations for a medical professional to prepare an endoscopic report.

The utility model relates to the technical field of protective pocket pads, in particular to a portable visual medical clean-keeping protective pocket pad for colonoscopy. The utility model provides a portable visual medical clean-keeping protective pocket pad for colonoscopy. The portable medical clean-keeping protective pocket pad comprises a pocket pad body, an adsorption protection pad, an intubation tube through hole, a split type right leg tube, a split type left leg tube, a wearing assembly, a binding assembly, an elastic assembly, an adsorption assembly and an adjusting assembly. Compared with the problems that in the using process of a traditional protective pocket pad, the examination efficiency and comfort are inconvenient to improve, and the convenience and practicability of the device are inconvenient to improve, in the using process of the protective pocket pad, an intubation through hole can be opened by rotating an adjusting assembly, and then the intubation through hole is opened; when the colonoscopy device is used, the insertion tube is aligned to the anus of a patient through the insertion tube through hole for colonoscopy, after examination is completed, when the colonoscopy is taken out, dirty liquid can be adsorbed through the adsorption assembly, adjustment and resetting are conducted through the adjusting assembly, and therefore the dirty liquid can be prevented from leaking, and the convenient and practical performance of the device can be improved.

The utility model discloses a transparent cap convenient to suck for endoscopic surgery, which comprises a transparent cover and a colonoscope lens nested at one end of the transparent cover, an outer side ring is arranged at the other end of the transparent cover, an inner side ring is movably sleeved on the inner side of one end of the transparent cover, and a large ferrule movably penetrates through the other end of the transparent cover. The large ferrule is inserted into the middle of the transparent cover, the size of the hole in the middle of the transparent cover is reduced, so that the shooting range of the lens is adjusted and changed, the use is very convenient, the small ferrule can be inserted into the middle of the large ferrule, the small ferrule and the large ferrule are inserted into the hole of the transparent cover, and the size of the hole in the middle of the transparent cover is reduced again. Therefore, the shooting range of the lens is adjusted.

Methods for screening subjects who are at an elevated risk of developing cancer due to pathogenic germline variants or hereditary cancer syndrome (HCS). In some aspects, the methods include determining a baseline cancer signal from the subject and performing subsequent diagnostic tests, such as liquid biopsies, at subsequent timepoints to determine the presence or absence of cancer in the subject based on the level and rate of change of the cancer signal. The methods can monitor the level and rate of cancer signal over time and allow are more frequent testing intervals. The methods may also comprise using "gold-standard" screening approaches, such as colonoscopies, in combination with liquid biopsies to detect primary (high risk) cancers and secondary cancers (elevated risk) in the subject. In some embodiments, follow-on assays can be personalized based on the type of pathogenic germline variant(s) / disease suspected or determined to be present in the subject.

Described are colonoscopy systems and methods of using such systems. The colonoscopy systems may include an optical scanning system having at least one illuminator configured to produce spatially patterned light and solid light in at least one frame to illuminate tissue within the colon, and at least one camera configured to capture the at least one image of the illuminated tissue within the colon. Additionally, the optical scanning system may include at least one control system configured to construct at least one three dimensional point cloud representations of the tissue within the colon and detect at least one feature of interest using the at least one three dimensional point cloud and a pre-trained artificial intelligence engine.

This invention discloses a polyp segmentation method based on edge guidance and deep-supervised PVT. For colonoscopy images containing polyps, this method utilizes a constructed polyp segmentation network to output the location and shape of the polyps. The polyp segmentation network uses PVT-v2 as the backbone network for feature extraction and also includes a context fusion decoding branch, a boundary extraction branch, a boundary awareness module, and a cascaded feature fusion branch. The context fusion decoding branch acts as an image decoder, receiving the semantic feature map output by the PVT-v2 backbone network. The boundary extraction branch uses a thinning module to enrich the content of the detail feature map, obtaining edge prediction results. The boundary awareness module fuses the thinned features with the output feature map of the context fusion decoding to obtain a boundary-aware prediction result. The cascaded feature fusion branch fuses features at different scales layer by layer in a deep-to-shallow order, outputting the final polyp segmentation prediction result P5.

The utility model relates to the technical field of colonoscopy nursing, in particular to a nursing device for colonoscopy, which comprises a bottom pad sheet, an arc-shaped groove arranged on the upper surface of the bottom pad sheet close to the left side, a water absorption pad arranged in the arc-shaped groove, a body position layer arranged on the upper surface of the bottom pad sheet close to the corner of the right upper end, and an isolation screen arranged in the middle of the upper surface of the bottom pad sheet. A blind pad towel is arranged at the right end of the isolation screen, a circular groove is formed in the front end face of the isolation screen, and a collecting bag is arranged in the circular groove; according to the nursing device for colonoscopy, the isolation screen with a blind pad towel is arranged to be matched with the bottom pad sheet, the isolation screen is bonded and combined with one side of the bottom pad end through a fixing belt, double layers are used for protection matching of private parts of a patient, a water absorption pad is installed to adsorb liquid dung sprayed out during patient examination, and the pollution influence on the examination environment is reduced; under the cooperation of the collecting bag, the colonoscope penetrates through the round hole and penetrates out of the collecting opening, the collecting opening is aligned with the anus of a patient, sprayed liquid dung can be collected easily, and the influence on environmental pollution is reduced.

The invention relates to the technical field of medical instruments, and discloses a device for fixing a TET tube to a colonoscope, the device comprises an elastic sleeve and a fixing tube, the fixing tube and the elastic sleeve are both made of elastic materials, a connecting part is fixedly mounted on the side wall of the elastic sleeve, a connecting groove is formed in the connecting part, the bottom of the connecting groove is closed, and the fixing tube is fixedly connected with the elastic sleeve. A connecting strip is fixedly installed on the side wall of the fixing pipe and slidably connected with the connecting groove, a protective film is fixedly installed on the top of the fixing pipe, and an installation assembly is arranged on the elastic sleeve. According to the device for fixing the TET tube to the colonoscope, by arranging the elastic sleeve and the fixing tube, the catheter can be synchronously driven to be implanted in the one-time colonoscope process, observation, positioning and tube implanting operation are achieved, the operation steps are simplified, the operation difficulty is lowered, the operation efficiency is improved, and a protective film at the front end of the fixing tube keeps the interior of the catheter clean in the implanting process; when the colonoscope is withdrawn, the colonoscope can be torn off under the driving of the elastic sleeve, and the operation is convenient.

The present invention relates to a computational method capable of automatically identifying and characterizing abnormalities in data outputs and deviations for the anatomical entities represented in anorectal manometry, differentiating between obstructed defecation and manometric patterns of fecal incontinence, using previously time series pressure signals archived or tabular data to train a deep learning model tailored to classify the newly acquired data.

Devices for improving adenoma detection during colonoscopy, and more particularly, to devices that are positionable at a distal end of an endoscope and are structured or configured to expand and retract upon longitudinal or rotational displacement of at least a portion of the device about the endoscope.

Various of the disclosed embodiments provide systems and methods for determining precise surgical instrument kinematics data, such as the pose of a colonoscope when examining a large intestine. The pose may then be used when constructing of a model of the patient interior from which reference geometries, such as a centerline, and navigational feedback, such as lacunae in the operator's review, may be produced. Some embodiments may also determine a data frame's suitability for downstream processing based upon the intraoperative field of view (e.g., downstream localization and mapping operations), such as whether the frame is undesirably blurred or depicts an obstruction. The operating surgeon, or reviewers of the surgical procedure, may then be presented, e.g., with metrics or graphical feedback related to one or more of: surgical instrument movement relative to the centerline, comprehensiveness of the operator's examination, and the amount of undesirable frames encountered during the examination.

The application discloses a kind of cascade global-to-local cross-scale fusion colonoscopy polyp segmentation methods, belong to medical image segmentation technical field, specifically related to the automatic segmentation method of colorectal polyp image.The network adopts two-stage series structure, the first stage is based on Swin Transformer encoder and carries out global semantic modeling, and outputs rough segmentation result;Second stage is with ResNet34 as encoder, realizes local detail refinement in combination with edge guiding mechanism.Core innovation includes cross-space scale feature aggregation and reconstruction (CSSAR) module, through serialization fusion and axial attention mechanism realizes the structural aggregation and interaction of multi-scale features;Dynamic attention edge-guided decoder (E-DAD), integrate dynamic receptive field convolution and edge detection module, adaptive enhancement multi-scale perception and boundary positioning ability.The application effectively solves the problems such as scale change, boundary blur and large domain difference in polyp segmentation, significantly improves the segmentation accuracy and generalization performance on public dataset, and has high clinical practical value.

The invention relates to the technical field of medical image recognition, in particular to an adenomatous polyp recognition method in colonoscope screening. Acquiring a colonoscope image, and acquiring colonoscope image definition of the colonoscope image; screening the colonoscope image based on the colonoscope image definition to obtain a primarily screened image; a boundary recognizer is adopted to recognize the preliminary screening image, and a boundary recognition result is obtained; based on the boundary recognition result, screening the primary screening image, obtaining a secondary screening image, and recognizing the secondary screening image by adopting a structure recognizer to obtain a structure recognition result; and obtaining an adenomatous polyp recognition result based on the colonoscope image definition, the boundary recognition result and the structure recognition result. By implementing the method, efficient and accurate identification of the adenomatous polyp in the colonoscope image can be realized.

This invention relates to the field of risk prediction technology, specifically to a model and method for predicting the risk of hypoglycemia during colonoscopy in diabetic patients. The model includes a feature extraction module, a weight analysis module, a model construction module, a model calibration module, and a risk prediction module. In this invention, core clinical features such as patient age, bowel preparation score, fasting time, and specific medication usage are extracted. A hypoglycemia risk nomogram prediction model is constructed using weight analysis. The model is then dynamically calibrated by calculating the prediction fitting deviation. These techniques enable precise quantification of the probability of hypoglycemia during colonoscopy in diabetic patients and provide early warning of high-risk conditions. This helps medical personnel identify potential risks in advance, optimize personalized fasting and medication care plans, effectively avoid serious adverse cardiovascular and neurological events, and ultimately ensure that diabetic patients can undergo colonoscopy normally.

A method for indicating a part of colonoscopic examination according to the present invention comprises the steps in which: a model loading / condition setting unit loads a colonoscopy image analysis model and sets analysis conditions of the analysis model; a control unit initializes an analysis screen and displays a picture of a normal large intestine; an image preprocessing unit preprocesses a colonoscopy image received via an image reception unit so that subsequent image analysis may be smoothly performed; an image analysis unit analyzes the preprocessed colonoscopy image by using an AI-based image analysis model; the image analysis unit detects and indicates at least one of an examination part, a diverticulum part, or a lesion part from the colonoscopy image on the basis of the analyzed result; and the control unit provides the result analyzed by the image analysis unit.