RecruitingNCT07073430

Application Evaluation Research on the Artificial Intelligence-assisted Support System for the Diagnosis of Colorectal Tubular Adenoma Lesions

Sponsor

Renmin Hospital of Wuhan University

Enrollment

4,000 participants

Start Date

Nov 28, 2023

Study Type

OBSERVATIONAL

Conditions

Artificial Intelligence (AI)Colorectal Adenoma

Summary

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.

Eligibility

Min Age: 18 Years

Inclusion Criteria3

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 Criteria7

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.

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