Development and Demonstration of a Precision Prevention and Treatment System for Colorectal Tubular Adenomas Lesions

This study is a prospective,multi-center and observational clinical study.Investigators would like to innovatively construct a "trinity" database of colorectal tubular adenomas based on white light - magnifying chromo - pathological images.It simulates the decision - making logic of doctors, and based on the multimodal endoscopic LAFEQ method previously proposed, develop a multimodal deep - learning diagnostic model for colon adenomas and an interpretable risk prediction model for intestinal adenomas. While achieving high - precision auxiliary treatment decisions, clearly present the decision - making basis, and break through the limitation of poor interpretability of previous medical imaging AI models.

Inclusion Criteria: * Patients aged ≥ 18 years, who need to undergo colonoscopy, regardless of gender. * Voluntarily sign the informed consent form * Promise to abide by the research procedures and cooperate in the implementation of the entire research process. Exclusion Criteria: * Patients who has a history of abdominal or pelvic surgery or radiotherapy in the past; * Patients who has definite active lower gastrointestinal bleeding. * Existing or suspected hereditary colorectal polyposis, inflammatory bowel disease; * Uncontrolled hypertension (systolic blood pressure \> 160 mmHg or diastolic blood pressure \> 95 mmHg after standardized treatment) * There is a history of stroke, coronary artery disease, or vascular disease; * Pregnant; * Intestinal preparation cannot be carried out.