The Long-term Effect of Artificial Intelligence-assisted Colonoscopy on Risk of Metachronous Advanced Colonic Lesion

The Long-term Effect of Artificial Intelligence-assisted Colonoscopy on Risk of Metachronous Advanced Colonic Lesion

The goal of this prospective study is to to evaluate the prevalence of metachronous advanced colonic lesions in subsequent surveillance colonoscopies in patients who had previously undergone AI-assisted colonoscopy to conventional colonoscopy examinations.

The main question it aims to answer is whether employing AI-assisted colonoscopy can decrease the likelihood of metachronous advanced colonic lesions during subsequent surveillance colonoscopies.

Researchers will compare patient who undergo conventional colonoscopy in previous colonoscopy to see if AI-assisted colonoscopy can decrease the likelihood of metachronous advanced colonic lesions during subsequent surveillance colonoscopies. Participants will undergo surveillance colonoscopy to assess the presence of metachronous advanced colonic lesion

Inclusion Criteria:

• Eligible participants are those who were previously enrolled and completed our randomized controlled trial comparing AI-assisted and conventional colonoscopy

Exclusion Criteria:

• In addition to the baseline exclusion criteria of the index trial, patients who were found to have inflammatory bowel disease, colorectal cancer and underwent bowel resection would be excluded. Similar to index trial, patients who have developed severe comorbid illnesses that make surveillance colonoscopy and polypectomy unsafe, or become unable to provide informed consent for trial participation would also be excluded

Index trial: Lui TK, Lam CP, To EW, Ko MK, Tsui VWM, Liu KS, et al. Endocuff With or Without Artificial Intelligence-Assisted Colonoscopy in Detection of Colorectal Adenoma: A Randomized Colonoscopy Trial. Am J Gastroenterol. 2024;119(7):1318-25