29 results about "Screening colonoscopy" 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 utility model relates to the technical field of colonoscopes, in particular to an electronic colonoscopy air bag injection device which comprises an air pump body, an air inlet pipe and an air outlet pipe are installed at the output end of the air pump body, the colonoscopy body is arranged on one side of the air pump body, and the air inlet pipe and the air outlet pipe are connected with the colonoscopy body. Limiting rings are fixedly connected to the ends of the air connecting pipe and the air outlet pipe. According to the electronic colonoscopy air bag injection device, through the arrangement of the air pump body, the air inlet pipe, the air outlet pipe, the colonoscopy body, the limiting ring, the air outlet and the air inlet, when the electronic colonoscopy air bag injection device is used, an external power source of the air pump body conveys air into the air inlet pipe, and the air in the air inlet pipe conveys the air into the limiting ring fixed to the colonoscopy body and is exhausted from the air outlet; when the air is conveyed, the air bag is expanded to swell and expand the intestinal tract, so that the effect of expanding the intestinal tract and preventing the intestinal tract from being damaged due to friction of the colonoscope body is achieved.

The present invention relates to a colon cleansing composition with improved ease of administration. The composition minimizes side effects caused by excessive ingredient content in conventional colonic laxatives while providing equivalent or superior intestinal cleansing efficacy, thereby remarkably improving patient compliance and ingestion convenience. In addition, as an uncoated tablet requiring no separate coating processes, a preparation that maintains the quality of tablets such as rapid disintegration and does not have a bitter taste can be provided. The present invention provides a pharmaceutical formulation comprising the colon cleansing composition with improved ease of administration and a method for colon cleansing using the formulation, thereby realizing a patient-centered colon cleansing process and ultimately greatly contributing to the improvement of colonoscopy quality.

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.

Disclosed are various embodiments of systems and methods of deep learning for colorectal polyp screening and providing a prediction of neoplasticity of a polyp. A video of a colonoscopy procedure can be captured. Frames from the video or images associated with the colonoscopy procedure can be extracted. A model for classifying objects that appear in the frames or the images can be obtained. A classification can be determined for a polyp that appears in at least one of the frames or images based on applying the frames or images to an input layer of the model.

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.

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.

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.

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 field of medical instruments, in particular to a multifunctional outer sleeve for colonoscopy. Comprising an inner sleeve and a balloon, the balloon is installed on the upper portion of the outer side of the inner sleeve, and the balloon comprises an expansion part; the inner sleeve comprises two cavities, namely a main cavity and an inflation cavity; a one-way valve is arranged at the bottom of the main cavity and used for being inserted into the colonoscope, and one-way sealing is achieved when the colonoscope is pulled out. The inflating cavity is communicated with the balloon through the communicating port and is used for inflating and deflating the balloon; a balloon inflation tube is further arranged and connected with the inflation cavity. The three pain points of pain, gas leakage and out-of-control intestinal pressure in traditional colonoscopy are effectively solved, and the comfort level of a patient, the examination safety and the operation efficiency are remarkably improved.

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.

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.

The present disclosure provides systems, kits, and methods for preparation prior to colonoscopy or other colon-related gastrointestinal procedures. In particular, the present invention provides a drug delivery system for gut cleansing products and procedures. The drug delivery system includes a capsule or tablet assembly that can be loaded with salts and other related drugs for use in gut cleansing products and still floats in the stomach after ingestion due to a density of 1.004 gm / ml or less. The drug delivery system avoids mass aggregation of salt near the gastric mucosa during the disintegration phase, thereby reducing the risk of direct gastric mucosal damage that may occur by solid enteral cleansing products.

A computer aided assistance system for use in endoscopic colonoscopy procedures. The computer aided assistance system including: at least one videoendoscopic instrument configured to capture image data; a controller comprising hardware, the controller being connected with the at least one videoendoscopic instrument; and a display connected or integral with the controller, wherein the controller being configured to automatically select a treatment guideline based on a combination of both a size and a classification of a lesion shown in the image data and to display the selected treatment guideline on the display.

The application provides an auxiliary pressing device for colonoscopy, which comprises an adjusting slide rail, an arched support beam and a pressing gun. In use, the arched support beam is adjusted to a proper position, and then the position and angle of the pressing gun on the arched support beam are adjusted according to the required pressing area. After adjustment, the operator presses the control button to drive the output push rod to extend outward, and the pressing disc is driven to apply pressure to the abdomen. During the pressing process, the pressure sensor detects the pressing force in real time, and the control mainboard transmits the real-time detection result to the display screen for real-time display. When the front end of the colonoscope successfully passes through the difficult bending section, the control button is pressed to make the output push rod retract, and the pressing disc is separated from the surface of the abdomen. The auxiliary pressing device for colonoscopy does not need the endoscope nurse or the assistant to continuously press the abdomen of the patient by hand when the colonoscope encounters difficulties during insertion, effectively reducing the work load of the medical staff and the risk of occupational injury.

In a decision-support system for gastrointestinal (GI) endoscopy, convolutional neural networks (CNNs) are set up to perform decision-support tasks according to endoscopic images. Each learnable kernel used in the CNNs is advantageously modeled as a linear combination of a set of fixed kernels for simplifying kernel learning, giving a lightweight kernel model to advantageously reduce required computation resources. Further computation-resource reduction can be made by CNN model compression via knowledge distillation and by using multi-task CNNs. It enables the decision-support system to be realized as an edge computing system near a site of performing endoscopic examinations. The system can be automatically configured for esophagogastroduodenoscopy (EGD) or colonoscopy. In the system, lesion-detection results and quality-control results can be seamlessly integrated to provide value-added results, which are more valuable to the endoscopist than separately considering the lesion-detection results and quality-control results.

Disclosed herein are methods for detecting a false positive initial sample result in a subject initially identified as having, or at risk for, cancer. Such methods can be performed on a sample obtained from the subject while undergoing a colonoscopy. Thus, methods can be useful for confirming or contradicting the initial identification that the high risk subject is at risk for cancer. Altogether, such methods are valuable for improving precision of a cancer test.

[Technical Field] The present disclosure relates to a system and a method for analyzing a stool image, and more particularly, to a system and a method for analyzing a stool image, which derive a large bowel state of a user by analyzing a stool image of the user using a pre-trained deep learning model.SOLUTION: A system for analyzing a stool image according to an embodiment of the present disclosure may include an input unit for receiving a stool image of a user, a data set generation unit for forming a data set by clustering the stool images in chronological order, an analysis unit for analyzing the data set to derive stool status information or colon status information of the user, and an output unit for outputting the stool status information or the colon status information. According to an embodiment of the present invention, it is possible to predict the endoscopic activity of ulcerative colitis from a camera image of feces without performing colonoscopy.SELECTED DRAWING: Figure 1

The invention relates to the field of colonoscopes, and discloses a colonoscope auxiliary device which comprises a main body, an external air bag is fixedly installed on the main body, a blocking piece is arranged outside the main body, a guide rod is slidably installed in the main body, an colonoscope channel shell is fixedly installed at the end of the main body, and a catheter is connected to the position, close to one side of the blocking piece, outside the main body. A pipe clamping device is arranged outside the guide pipe, an anti-blocking device is arranged in the guide pipe, the pipe clamping device is used for cutting off flow of the guide pipe, the anti-blocking device is used for crushing impurities in the main body, and a cleaning and collecting part is arranged at the bottom end of the guide pipe; the inflation and deflation valve adjusts expansion of the external air bag, so that the external air bag can make close contact with the rectum of a patient, liquid and impurities entering the catheter can be broken through the anti-blocking device, the interior of the cleaning and collecting piece is fully collected, the cleaning and collecting piece is conveniently replaced by locking the catheter clamping device, and the cleaning and collecting efficiency is improved during colonoscopy. The safety and sanitation of doctors are improved, and patients can experience better during examination.

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 utility model belongs to the technical field of medical treatment and public health, and particularly relates to a device capable of stabilizing intestinal tracts in vitro in colonoscopy, which comprises a bellyband main body. The bellyband body is wound on the belly through bonding of the first male hook-and-loop fastener and the first female hook-and-loop fastener, the steam injection expansion portion is reserved, and the pressing ball is bonded to the steam injection expansion portion through the second female hook-and-loop fastener and the second male hook-and-loop fastener. After the position of the pressing ball is adjusted, the inflatable latex ball is pressed to inject steam, a balloon switch on the inflatable latex ball is closed after fixation, and the balloon switch is deflated and taken down after examination is finished, the examination time is obviously shorter than that of a traditional method for fixing the intestinal canal by pressing the abdomen in vitro through a nurse, and the method has obvious advantages in improving various efficiencies, reduces the examination risk, reduces the pain of a patient and improves the examination efficiency. The patient satisfaction degree is improved, the endoscope entering difficulty of doctors is reduced, the examination time is shortened, the day examination number of patients is increased, the patient turnover rate is increased, hospital income is increased, and the workload of nurses is relieved.

A method and computer program product for colonoscopy analysis, the method comprising: obtaining a medical video associated with a colon, the medical video comprising at least a first endoscopic image of the colon and a second endoscopic image of the colon; determining a plurality of first feature points from the first endoscope image, a plurality of second feature points from the second endoscope image, and a correspondence between the plurality of first feature points and the plurality of second feature points; constructing a three-dimensional (3D) representation of the colon based at least on the first plurality of feature points and the second plurality of feature points; identifying a polyp in the first endoscopic image and a classification of the polyp using a machine learning (ML) model; tracking the polyp from the first endoscopic image to the second endoscopic image using the ML model; and displaying the position of the polyp on a three-dimensional image of the colon.

Disclosed herein are methods for administering a dose of a microbiota restoration therapy composition by colonoscopy. The methods disclosed herein are useful for treating diseases and / or conditions of the digestive tract, such as Clostridioides difficile infection (GDI), including recurrent GDI, and other gastrointestinal disorders. The method may result in improved quality of life. The methods may alter gut microbiota composition and / or gut metabolome composition. The microbiota restoration therapy composition comprises a fecal microbiota suspension comprising: fecal microbes derived from a human fecal sample, and a solution of polyethylene glycol and saline.