Quality Improvement Intervention in Colonoscopy Using Artificial Intelligence

Quality Improvement Intervention in Colonoscopy Using Artificial Intelligence

Quality measures in colonoscopy are important guides for improving the quality of patient care. But quality improvement intervention is not taking place, primarily because of the inconvenience and expense. To address the difficulties above, we used artificial intelligence for quality control of colonoscopy.

Inclusion Criteria:

• aged between 18 and 80;
• agree to give written informed consent.

Exclusion Criteria:

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