AI models with NBI: AI models for detecting intestinal adenoma in magnifying endoscopy with NBI.
Study 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
Sex
ALL
Min age
18 Years
Max age
—
Healthy volunteers
No
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.
Primary outcome measure(s)
The accuracy rate of diagnosing adenomas — during endoscopy The prediction rate of the interpretable artificial intelligence-assisted diagnosis model for the disease risk level.
Trial sites (1)
Facility
City
Region
Status
Renmin Hospital of Wuhan University
Wuhan
Hubei
Recruiting
More Renmin Hospital of Wuhan University trials in China
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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