View clinical trials related to Colonoscopy.
Filter by:This case series aims to evaluate the effectiveness and tolerability of Oral Sulfate Solution (OSS) in patients who had previously experienced poor colonoscopy preparation.
The purpose of this study is to determine the antiperistaltic effect and safety of glycopyrrolate and whether the use of glycopyrrolate is beneficial for colonoscopy and colonoscopic polypectomy.
The goal of this cross-sectional study was to explore the relationship between physical and psychological stress and the quality of bowel preparation before a colonoscopy examination, in order to improve the quality of bowel preparation. The main questions it aims to answer are: Does physical and psychological stress affect the quality of colonoscopic bowel preparation, and delay disease detection? How can we improve the quality of colonoscopy？ Participants will be asked to complete a questionnaire containing their demographics, history of diseases and drugs, lifestyle habits, and physical and 14-item perceived stress scale(PSS-14). Quality of bowel preparation was assessed by the Boston bowel preparation scale（BPS）.
In this study, the investigators will evaluate the ability of the Magnetic Flexible Endoscope (MFE) to travel through the human colon. The MFE is a device made of ultra-flexible tubing that contains a camera, light, and magnet at the tip. The tip of the tube is about the size of a penny. The magnet inside the tip allows the MFE to be moved through the colon by a second magnet attached to a robotic arm that is outside the body. The objective of this feasibility study is to determine safety and tolerability of the Magnetic Flexible Endoscope (MFE) traveling in the human colon.
In this study, the investigators proposed a prospective study about the effectiveness of speech and image recognition-based system in improving reporting quality during colonoscopy for colonoscopy report quality in endoscopists. The participants would be divided into two groups. For the collected colonoscopy videos, group A would record their observations with the assistance of the artificial intelligence system. The artificial intelligence assistant system can automatically capture bowel segment images and prompt abnormal lesions. Group B would complete the endoscopy report without special prompts. After a period of washout period, the two groups switched, that is, group A without AI assistance and group B with AI assistance to complete the colonoscopy report. Then, the completeness of the colonoscopy report, the completeness of capturing anatomical landmarks and detected lesions, the completeness of structured description, the accuracy of lesion reporting, the time for reporting and the satisfaction with the reporting system are compared with or without AI assistance.
Aim: This study aimed to evaluate the effect of abdominal massage on pain and distention in patients who underwent colonoscopy. Methods: This randomized controlled study was conducted between October 2019 and December 2021 with the participation of 60 patients who underwent colonoscopy in the endoscopy unit of a university hospital. Thirty patients performing abdominal massage after colonoscopy were included in the experimental group.
The goal of this clinical trial is to evaluate the diagnostic potential of Artificial Intelligence-assisted Fecal Microbiome Testing for the diagnosis of inflammatory bowel disease. The main question it aims to answer is: • Is Artificial Intelligence-assisted Fecal Microbiome Testing a reliable screening test for inflammatory bowel disease? Participants will be asked to provide fecal samples to be analyzed with next-generation sequencing techniques. If there is a comparison group: Researchers will compare the diagnostic performance of AI-assisted Fecal Microbiome Testing with colonoscopy to see the correlation between the results of both interventions.
The goal of this clinical trial is to evaluate the diagnostic potential of Artificial Intelligence-assisted Fecal Microbiome Testing for the diagnosis of colon cancer. The main question it aims to answer is: • Is Artificial Intelligence-assisted Fecal Microbiome Testing a reliable screening test for colon cancer? Participants will be asked to provide fecal samples to be analyzed with next-generation sequencing techniques. If there is a comparison group: Researchers will compare the diagnostic performance of AI-assisted Fecal Microbiome Testing with colonoscopy to see the correlation between the results of both interventions.
The primary objective of the prospective study is to compare the incidence, duration, and severity of oxygen desaturation in high-risk patients randomized to nasal mask with nasal positive airway pressure (PAP) or standard care (nasal cannula) receiving propofol sedation during colonoscopy in an ambulatory surgical center (ASC). Patients will be randomized in groups of ten to one of two groups using a random number table. Group A: standard care with a nasal cannula. Group B: SuperNO2VA™EtCO2. Following the procedure subjects will be asked to complete satisfaction surveys before leaving the ASC and 48 +/- hours following their procedure. Researchers will compare levels of satisfaction and levels of oxygen saturation.
This is a single blinded randomized controlled study. The main question of this study is whether better preparation by making full use of digital tools can increase patient compliance with the preparation methods for colonoscopy, and as a result improve bowel preparation quality and colonoscopy outcomes in a cost-effective manner. Participants will randomly assigned to one of three colonoscopy preparation groups (i) a written hand out containing all information required for bowel preparation (standard care) (ii) standard care and in addition a video call with a professional nurse conducted via digital devices and a free software (Zoom video communication or What's app application) (iii) standard care and in addition to a video call as described above using an explanatory short video on bowel preparation (video film), streamed to the patient's mobile device or computer.