17 results about "Colonoscopes" patented technology

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 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.

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.

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.

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 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.

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.

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.

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.

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.

A colorectal polyp segmentation method based on a three-branch collaborative gating network addresses the challenges of large scale variations, irregular morphology, blurred boundaries, and severe background interference in colonoscopy images. This invention achieves accurate perception and semantic representation of polyp regions at different scales by performing multi-scale parallel modeling on the input image, combining heterogeneous receptive field feature aggregation, spatial attention-guided cross-scale feature fusion, and channel-gated interaction mechanisms. The overall network is based on a shared backbone feature extraction network, introducing weight adjustment and gating mechanisms during multi-scale feature enhancement and fusion. This ensures global contextual consistency while strengthening local details and boundary information, ultimately outputting high-precision pixel-level polyp segmentation results through a decoder.

The application discloses a feature optimization method and device for colonoscopy image segmentation, and belongs to the technical field of medical image processing and intelligent analysis. The method comprises the following steps: extracting structure features reflecting structure changes and geometric features reflecting morphological changes from colonoscopy images or intermediate features; calculating a consistency index based on the spatial correlation or change consistency between the structure features and the geometric features; simultaneously obtaining a reflection feature for reflecting reflection interference; generating a gating weight according to the consistency index and the reflection feature, and weighting and optimizing the structure features by using the gating weight, and fusing the structure features with original features; and using the fused features in the training or reasoning process of a colonoscopy image segmentation model. In the above manner, the application can effectively reduce the influence of reflection interference on the colonoscopy image segmentation result, improve the accuracy and stability of the segmentation result, and does not depend on a specific network structure, and has good universality and practical value.

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.

This application provides a system and method for quantifying the degree of inflammation in ulcerative colitis. The method involves acquiring white-light video images of the target patient's colonoscopy and photoacoustic signals generated by photoacoustic effects within the colon at multiple sampling times during a real-time colonoscopy examination. Based on the time-of-flight of the photoacoustic signals, signal components corresponding to different tissue depths within the target patient's colon are separated. These signal components are then fused with the white-light video images at each sampling time to generate a multi-layer image showing the mucosal blood supply distribution within the target patient's colon at each sampling time. Motion artifacts in the multi-layer images at each sampling time are calibrated. Inflammation-specific abnormally high-blood-supply areas at different depths of the target patient's colonic mucosa are extracted from all calibrated multi-layer images, and a quantitative score of the degree of colitis inflammation in the target patient is determined based on all abnormally high-blood-supply areas. Using the method of this application, multi-layered inflammatory features of the patient's colonic submucosa can be extracted.

The application provides a quantitative pressurization auxiliary colonoscopy insertion abdominal belt, and relates to the technical field of medical auxiliary instruments, which comprises a main body and a belt assembly, three placing bags arranged in a triangular shape are arranged on the main body, a pressurization assembly composed of an installation box and a pressurization part is internally installed, a point beta on the pressurization part is driven to generate a water-drop curve trajectory of unilateral stretching and the other side contraction through a driving unit, a plurality of connecting rods and a limiting sliding groove mechanism, a composite action of human hand "pushing, pressing and rubbing" is simulated, and the mirror body is effectively assisted to be uncoiled and inserted; an asymmetric conical air bag is wrapped outside the pressurization part, a control unit and a pressure gauge are combined, and the flexibility and quantitative adjustment of pressing are realized, the problems that the traditional manual pressing is easy to fatigue and the existing abdominal belt cannot simulate the bionic trajectory are solved, and the examination comfort and the insertion efficiency are significantly improved.