View clinical trials related to Colonoscopy.
Filter by:The goal of this clinical trial is to learn about bowel preparation methods compared between standard techniques and enhanced education with application for elective colonoscopy. The main questions it aims to answer are: Which bowel preparation method results in an adequate bowel preparation rate? Participants will: - Random to 1:1 ratio to be educated via the smartphone application (APP group) or the standard education (control group). - Received the same purgative regimen and diet restriction. - Endoscopist-blinded colonoscopy the participants and give score of bowel preparation scale (use Boston Bowel Preparation Scale)
We have developed a novel inadequate bowel preparation prediction model based on a systematic review and meta-analysis. The goal of this observational study is to validate the accuracy of this model.
This study was planned to examine the effect of virtual reality application on the patient's anxiety and vital signs before colonoscopy. The hypotheses of the research are as follows: H1: Virtual reality application before colonoscopy has an effect on patients' anxiety and vital signs. H0: Virtual reality application before colonoscopy has no effect on patients' anxiety and vital signs. Before colonoscopy, patients in the study group will be asked to watch videos using virtual reality glasses.
This is a prospective, randomized, single-blind, parallel, active-controlled, and multi-center Phase III clinical trial.
Purpose: To evaluate the effectiveness and safety of virtual reality (VR) technology in alleviating pain during colonoscopy. Design and Methods: In the context of a single-centered, prospective, randomized controlled study, the pain levels experienced during colonoscopy are compared between the VR group and the control group.
Comparing chromoendoscopy to a digital staining technique and White light in patients with IBD attending scheduled surveillance colonoscopy
The goal of this clinical trial is to compare the detected adenoma per colonoscopy (APC) in participants undergoing screening, surveillance, and positive fecal immunochemical test (FIT) or guaiac fecal occult blood test (gFOBT). There will be two arms in this study: WE water control and water plus artificial intelligence (AI). The main question it aims to answer is whether the addition of AI into water exchange (WE) colonoscopy increases APC than WE alone. The control method will use water instead of air inserted into the colon. The study method will use a commercially available AI system plus water during the procedure. Researchers will compare APCs to see if the addition of AI increases detection of adenomas during WE colonoscopy.
The goal of this [clinical trial] is to [explore the balance time point between the waiting time for intestinal preparation after gastric emptying and quality of bowel preparation.] in [patients with painless colonoscopy]. The main question[s] it aims to answer are: [whether the gastric is empty or not 2 hours after finishing drinking 1.5 L of MgSO4 solution within 2 hours] [whether the quality of patients' bowel preparation is superior in a time period of 2-4 hours after finishing drinking 1.5 L of MgSO4 solution] Participants will [ be asked finishing the last dose of 1.5 L MgSO4 solution within 2 hours and received ultrasound gastric assessment immediately 2 or 4 hours after finishing drinking MgSO4 solution in a 15 minutes time interval until the gastric is empty. As soon as the gastric is empty, patients receive painless colonoscopy within 2 hours or 2-4 hours. Researchers will compare [patients receiving painless colonoscopy within 2 hours or 2-4 hours after finishing drinking 1.5 L of MgSO4 solution] to see if [the quality of patients' bowel preparation is superior in a time period of within 2 hours].
Properly documenting withdrawal time in colonoscopy is essential for quality assessment and cost allocation. However, reporting withdrawal time has significant interobserver variability. Additionally, current manual documentation of endoscopic findings is time-consuming and distracting for the physician. This trial examines an artificial intelligence based system to determine withdrawal time and create a structured report, including high-quality images (AI) of detected polyps and landmarks.
This case series aims to evaluate the effectiveness and tolerability of Oral Sulfate Solution (OSS) in patients who had previously experienced poor colonoscopy preparation.