Active clinical trials for "Colonic Diseases"

The purpose of this study is to develop and validate a deep learning algorithm to realize automatic recognition of colonic segments under conventional colonoscopy. Then, evaluate the accuracy this new artificial intelligence(AI) assisted recognition system in clinic practice.

This is an artificial intelligence-based optical endoscopic polyp diagnosis system that can assist endoscopic doctors in diagnosing polyps and improve the quality of training in clinical Settings.

Artificial intelligence is deeply integrated with medical diagnosis, and intelligent colonoscopy technology has broad room for development. At present, the assist device of colonoscopy is insufficiently studied. It is the part that needs to be further explored in the development of artificial intelligence colon diagnosis and treatment technology. The study will be conducted at the Digestive Endoscopy Center and it is expected that 380 subjects will participate voluntarily. Subjects met: 1) routine colonoscopy; 2) willing to provide relevant information required by the experiment; 3) signed informed consent for the study. This topic focuses on the colonoscope assist device, through the combination of power assisting device, dynamic analysis, and migration expert skills, to achieve a combination of intelligent power and precise treatment, and establish a prototype of the patient-colonoscopy-assisted assist system-doctor's four-in-one diagnosis and treatment system.

Adequate bowel preparation for colonoscopy has an extremely relevant impact on diagnostic yield and procedural success. The guidelines recommend an adequate colon cleansing rate of at least 90% of procedures. It has been shown that patients with inadequate colon cleansing history have a high probability of not reaching an adequate bowel preparation again. Surprisingly, no evidence-based recommendations are available regarding bowel preparation in the patient with inadequate colon cleansing history. Therefore, identifying the factors associated with repeated inadequacy of bowel cleansing is crucial in order to define the best preparation strategy in this subset of patients. The implications for patients and for healthcare system are many: improving the quality of bowel preparation would reduce the need to repeat colonoscopy and the risk of conducting unreliable examinations. Furthermore, it would reduce the costs for the healthcare system by avoiding to overload endoscopic units. Inclusion criteria: Outpatient and hospitalized patients, adults, candidates for colonoscopy for any pathology, as part of the normal care process, with the need to repeat bowel preparation due to inadequate cleansing. Exclusion criteria: Emergency regime Inability to obtain consent Refusal of the patient Primary end-point: Identification of factors independently associated with repeated inadequate colon cleansing after inadequate bowel preparation at previous colonoscopy, and consequent development (and validation) of a predictive model. The colon cleansing will be evaluated according to the Boston Bowel Preparation Scale (BBPS), which assigns a score from 0 (presence of solid stools) to 3 (excellent visualization of the colonic mucosa) for each of the three main segments of the colon, i.e. right colon, transverse colon and left-rectum colon. Colon cleansing will be judged inadequate in case of a total score <6 or a score <2 even in only one of the colic segments. Secondary end-point: • Assess the prevalence of repeated inadequate bowel cleansing in the patient with previous inadequate cleansing

In the investigators study, the investigators will focus on the screening of the related proteins and miRNA to IBS in order to reveal the possible clues or molecular mechanism for this disorder.