Application of AI in Polypectomy

Yanqing Li

Status: Unknown

Conditions: Colonic Polyp

Treatments: Other: AI system

Study type: Interventional

Funder types: Other

Identifiers

NCT04485715

2020SDU-QILU-0714

Details and patient eligibility

About

The aim of this study was to assess the performance of AI system in polypectomy

Enrollment: 1,000 estimated patients

Sex: All

Ages: 18 to 80 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• to undergo colorectal polypectomy;
• agree to give written informed consent

Exclusion criteria

• patients with the contraindications to colorectal polypectomy;
• patients with a history of inflammatory bowel disease (IBD), CRC, colorectal surgery;
• patients with high suspicion of polyposis syndromes, IBD and typical advanced CRC;
• patients refused to participate in the trial;
• the procedure cannot be completed due to stenosis, obstruction, huge occupying lesions, or solid stool;
• the procedure have to be terminated due to complications of anaesthesia.

Trial design

Primary purpose: Other

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Double Blind

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1,000 participants in 2 patient groups

AI-aided group

Experimental group

Treatment:

Other: AI system

control group

No Intervention group