View clinical trials related to Colon Polyp.
Filter by:The goal of this observational study is to assess the correlation between the artificial intelligence (AI) derived effective withdrawal time (EWT) during colonoscopy and endoscopists' baseline adenoma detection rate (ADR). The association between the AI derived EWT with ADR during the prospective colonoscopy series would also be determined. The colonoscopy video of participants will be monitored by the AI
To investigate the role of different types of laxatives (compounded polyethylene glycol electrolyte dispersions and compounded sodium pico-sulfate) on the composition, evolution and recovery of the gut microbiome of patients with colonic polyps undergoing bowel preparation.
The goal of this observational study is to learn about the role of electroporation (the use of small electric pulses applied to tissue) in the treatment (ablation) of colorectal polyps. The main questions to answer in this pilot phase of the study are: 1. The safety of pulsed field ablation (PFA) for the removal of colorectal polyps 2. The efficacy and feasibility of PFA in the treatment of colorectal polyps using metrics such as treatment coverage, treatment time, post treatment fibrosis, post treatment recurrence and patient satisfaction
The aim of the study is to assess whether the use of artificial intelligence improves polyp detection in a segment of the colon (the right colon). To achieve this objective, patients will be divided into two groups: one will undergo a standard colonoscopy, the other a colonoscopy with the artificial intelligence software connected to the machine. This software does not modify the colonoscopy technique in any way, and does not require the administration of any product to the patient. The study will compare the detection rate of right colon polyps between the group of patients who underwent standard colonoscopy and those who underwent colonoscopy with artificial intelligence. If this number does not differ between the two groups, the investigators can conclude that there is no point in using artificial intelligence.
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 global aim of this multi-centric study is to assess the learning curve of U-EMR by an endoscopist skilled in C-EMR aiming to assess the application in real world and check the rate of complete EMR and adverse events related to the procedure.
Primary objective of the study is to evaluate if the novel virtual polyp sizing tool accuracy in determining the size class of polyps among diminutive (0-5 mm), small (6-9 mm) and large (10 mm and above).
Colonoscopy is the gold standard modality for the detection of colonic polyp. However, miss polyp occurs especially in right sided colon. Artificial intelligence (AI) is one of the modality to improve polyp detection but the benefit of AI in operators with different endoscopic experience is still limited. This study aimed to evaluate the efficacy of AI in the detection of right sided colonic polyp in operators with different endoscopic experience by using double insertion of right side colon, back-to-back basis.
The study aims to investigate the effect of the optimized bowel preparation and boost regimens on colon capsule endoscopy procedures, specifically on cleanliness and completion rate.
This is a longitudinal observational study on patients with gastrointestinal and related disease. The study will be conducted for at least 10 years, following each participant over time, as they either go through relapses and remissions, or progression of their disease.