Longterm Effectiveness of Artificial Intelligence-assisted Colonoscopy on Adenoma Recurrence

Recruiting now · Not applicable

Conditions studied: Screening Colonscopy

In brief

We hypothesize that AI-assisted colonoscopy can reduce post-colonoscopy neoplasia incidence after 3 years, over standard colonoscopy. Moreover, this protective effect may allow surveillance intervals to be lengthened, by modifying long-term outcome of high-risk subgroup.

Key facts

Study ID

NCT06251700

Run by

Chinese University of Hong Kong

People needed

775

Starts

2024-01-24

Expected to finish

2027-04-30

Last updated by the study team

2024-10-29

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Subjects are eligible if:
• (i) They underwent randomization to receive colonoscopy with/without CADe in ENDOAID-TRAIN study [NCT04838951]; (ii) They are fit and willing to undergo surveillance colonoscopy at year 3; (iii) Written informed consent obtained.

You may not qualify if…

• Subjects will be excluded from the study if they have any of the followings:
• (i) Incomplete colonoscopy during index procedure; (ii) Known residual colorectal neoplasia not removed (except hyperplastic polyps); (iii) Underwent unscheduled interval colonoscopy before year 3; (iv) Contraindications to surveillance colonoscopy at year 3; (v) Advanced comorbid (American Society of Anesthesiologists grade 4 or above); (vi) History of CRC, hereditary polyposis syndrome or inflammatory bowel disease; (vii) History of colectomy at any time point.

Where it is running

• Prince of Wales Hospital — Hong Kong, Hong Kong (enrolling)

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.