15 results about "Bowel preparation" patented technology

The invention provides an intelligent intestinal preparation quality monitoring and precise intervention system based on image recognition. The system comprises a multi-modal imaging acquisition module, an image processing and recognition module, an intelligent intestinal monitoring module, an intestinal preparation scoring and intervention module and a report display and quality management module. The intestinal tract preparation imaging acquisition module is used for acquiring intestinal tract preparation image data, the image processing and recognition module is used for performing feature extraction and recognition on the acquired image, the intestinal tract preparation scoring and intervention module is used for scoring intestinal tract preparation and issuing accurate intervention suggestions, and the intelligent intestinal tract monitoring module is used for quality result monitoring and abnormity warning. And the report display and quality management module is used for report generation, event recording and system management. According to the invention, a closed loop from automatic identification to quantitative evaluation to controllable intervention is constructed for intestinal preparation quality monitoring and intervention, the qualification rate of intestinal preparation quality inspection can be improved, and the consistency and traceability of clinical decisions can be improved.

Embodiments relate to devices, methods, and systems to assess the status of a bowel preparation in a subject. In an embodiment, the device, the methods, and the system assess the status of bowel preparation in a subject in real-time.

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.

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

The invention relates to the technical field of traditional Chinese medicine, in particular to a traditional Chinese medicine composition for intestinal tract preparation and a preparation method thereof, and the traditional Chinese medicine composition is prepared from the following raw materials: raw astragalus membranaceus roasted with honey, freeze-dried sun-dried ginseng, radix scrophulariae steamed with wine, radix ophiopogonis and steamed radix rehmanniae; the components of the traditional Chinese medicine are adaptive to pathogenesis, and a targeted conditioning effect is realized: after the raw astragalus membranaceus roasted with honey is specifically processed, the effects of tonifying qi, strengthening superficies, tonifying spleen and reinforcing stomach are enhanced, the physical weakness of unauthorized spleen qi transportation and transformation of old people can be improved, qi consumption and body fluid impairment caused by inadequate diarrhea during intestinal preparation are avoided, and a foundation is laid for intestinal function regulation; the freeze-dried sun-dried ginseng adopts a low-temperature freeze-drying process to retain core active components of the sun-dried ginseng capable of reinforcing vital energy, promoting salivation and restoring pulse, can directly supplement vital energy deficiency of elderly patients, and relieves weakness, dizziness and other discomforts caused by body fluid loss in the intestinal tract preparation process; after the wine steamed radix scrophulariae is compounded and processed by the yellow wine and the radix ophiopogonis juice, the effects of nourishing yin, promoting salivation, clearing heat and moistening dryness are remarkably improved.

The present application relates to the technical field of rectal cancer CTV segmentation, in particular to a rectal cancer CTV segmentation method based on CViL-UNet, comprising the following steps: preprocessing rectal cancer CT image data, converting a 3D CT sequence into a multi-channel 2D input format, removing image noise and intensity non-uniformity, and standardizing the pixel value range to adapt to the CViL-UNet model input. The present application realizes accurate identification of the key areas of CTV primary tumor, subclinical spread area and micro-infiltration focus through local-global feature cooperation and high-frequency detail enhancement, solves the pain points of missing micro-infiltration and misjudging healthy tissue in traditional methods, can process conventional CT images without intestinal preparation, breaks the dependence of traditional methods on ideal image conditions, and the automatic and real-time segmentation process in clinical value eliminates the subjectivity and inefficiency caused by manual intervention, while meeting the dual requirements of millimeter-level precision and rapid deployment for radiotherapy planning.

The utility model discloses a bowel preparation U type colorimetric recording ruler relates to bowel preparation degree detection technical field, including horizontal vernier and U type color liquid mark. The utility model discloses in the last bowel cleaning agent oral time is recorded conveniently, and the reference is provided for anaesthetic risk assessment, the stool frequency after bowel cleaning agent oral is recorded conveniently, and the degree of bowel cleaning is judged, and the medical record is provided with the convenience simultaneously, the stool situation is compared conveniently, and the reference is provided for medical staff judgement bowel preparation situation, and the patient is convenient, easy to use, and the patient is convenient to understand, and the medical work efficiency is promoted, the product can be used to bowel operation, and the bowel cleaning of the patient who needs to carry out before examination, oral various bowel cleaning agents, accurately record the time of patient oral purgative, and the reference is provided for anaesthetic risk assessment, accurately record the stool frequency of patient, and the quality of bowel preparation is evaluated, and the water sample of patient is compared to the standardization, and the operation is convenient.

The invention provides a personalized intelligent management system for intestinal tract cleaning preparation of old people, and the system comprises a personalized risk assessment module which is used for obtaining the multi-dimensional individual data of an old patient, and outputting the risk level of insufficient intestinal tract preparation through a machine learning prediction model; the dynamic scheme generation module is used for generating a personalized intestinal tract cleaning scheme for the patient according to the risk level; the real-time monitoring and feedback module is used for collecting compliance data, defecation characters and untoward effect information of a patient in the process of executing the cleaning scheme of the patient, and performing dynamic evaluation and risk early warning on the cleaning quality; the user interaction module is used for providing health education content, operation guidance and psychological support for patients and family members, receiving data input by the patients and the family members and providing response service; and the medical collaboration platform is used for carrying out data connection with the hospital information system. Through data-driven intelligent evaluation and personalized scheme generation, effective management of the whole intestinal preparation process of the elderly patient is realized.

The application relates to an artificial intelligence-based intestinal tract cleanliness auxiliary evaluation method, system, device and medium. The method comprises the following steps: inputting an updated fusion feature vector sequence into a pre-trained time sequence model based on a multilayer gate recurrent unit to obtain a cleanliness state classification result of a current defecation reporting event and a next defecation state prediction result; according to the cleanliness state classification result and the next defecation state prediction result, an intestinal tract preparation progress quantitative index and an evolution trend index up to the current defecation reporting event are calculated through a state residence time model based on a state transition probability matrix; and based on the intestinal tract preparation progress quantitative index and the evolution trend index, a dynamic threshold judgment mechanism is triggered for personalized early warning of the intestinal tract preparation process in combination with a target examination time. The method can dynamically monitor, evaluate the progress and predict the trend of the intestinal tract preparation process.

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 discloses an AI-based intestinal preparation quality evaluation system, belonging to the technical field of enteroscopy, comprising: a collection and processing module configured to collect the excrement fluorescence image of a patient, pre-process and feature extract the same, and determine excrement feature data; a model establishment module configured to build an intestinal preparation quality evaluation model; a quality evaluation module configured to perform feature recognition and analysis on the excrement feature data, perform quality evaluation on the intestinal preparation of the patient, and determine an intestinal preparation quality evaluation result; and an output management module configured to visually output the intestinal preparation quality evaluation report of the patient and perform subsequent enteroscopy management on the patient. The application solves the problems of existing intestinal preparation quality evaluation, such as certain inaccuracy and subjectivity, and low intestinal preparation qualification rate of up to 70%. The application can provide more objective and efficient intestinal preparation quality evaluation results, thereby improving the accuracy and efficiency of enteroscopy.

The intestinal tract preparation device comprises a cleaning fluid barrel, a balloon and a hose, the lower surface of the cleaning fluid barrel is movably connected with an infusion catheter, an inflow port is formed in the right side of the balloon, an outflow port is formed in the left end of the balloon, and the hose is connected with the infusion catheter. The end, away from the cleaning liquid barrel, of the liquid conveying guide pipe is movably connected to the inflow opening. One end of the hose is movably connected to the outflow opening, the other end of the hose is spherical, a plurality of liquid holes are formed in the periphery of the end, away from the balloon, of the hose, and scale marks are arranged on the surface of the hose in the length direction of the hose. According to the utility model, along with the continuous pressing of the balloon, the cleaning liquid can flow out from the plurality of liquid holes at the front end of the hose, so that the effect of cleaning the anus and the rectum is achieved, excrement and florae in the anus and the intestinal tract can be cleaned up, a more accurate and comfortable intestinal tract preparation process can be realized, and the success rate of coprophilous fungus transplantation is improved; the discomfort of a patient is reduced, and the possible complication risk is reduced.

The invention relates to the technical field of enteroscopy treatment, provides an intestinal tract cleanliness evaluation method, device and equipment and a storage medium, and can obtain relatively accurate intestinal tract cleanliness which can be used for evaluating a cleaning scheme in an intestinal tract preparation stage. The method comprises the following steps: after obtaining an endoscope picture set formed in an intestinal tract examination process, obtaining an endoscope picture subset according to endoscope pictures formed in a non-target operation process in the endoscope picture set and endoscope pictures formed in a set range after the non-target operation is finished; the target operation comprises operation influencing intestinal tract cleanliness evaluation in the intestinal tract examination process; and obtaining the intestinal tract cleanliness according to the endoscopic picture subset.

The application discloses a SHAP-based quality prediction method for intestinal preparation of diabetes patients, relates to the technical field of medical artificial intelligence, and comprises the following steps: collecting clinical feature data of diabetes patients and preprocessing the clinical feature data; constructing a quality prediction model for intestinal preparation of diabetes patients, taking the preprocessed clinical feature data as model input and taking intestinal preparation qualification rate as output; and introducing a SHAP explainable artificial intelligence framework to analyze and attribute the prediction model. The quality prediction method for intestinal preparation of diabetes patients provided by the application integrates multidimensional clinical data, uses an ensemble learning algorithm to construct a prediction model, significantly improves the accuracy and stability of prediction, breaks through the limitations of traditional reliance on doctor experience, reduces the inconsistency of judgment caused by individual differences and treatment pressure, and displays the interaction between features through a visual tool, thereby enhancing the explainability and transparency of the model.

This invention relates to a device and medium for assessing the risk of inadequate bowel preparation in patients taking oral magnesium sulfate. The device includes: a data acquisition module for acquiring various risk assessment indicators for patients taking oral magnesium sulfate, including indicators of stroke or dementia, inflammatory bowel disease, heart or kidney failure, colonic stenosis, medication history, dietary type, taste of laxatives, preferred laxatives, history of failed bowel preparation, adverse events, complete administration, and yellow watery stools; and a bowel preparation inadequate risk assessment module for assigning values ​​to the acquired risk assessment indicators to assess the risk of inadequate bowel preparation. Compared with existing technologies, this invention has the advantages of comprehensively and accurately assessing the risk of inadequate bowel preparation, and has good discrimination and calibration.