The Auxiliary Effect of Artificial Intelligence in the Detection of Precancerous Lesions in Proximal Colon Cancer

Condition(s) studied

Investigational drug(s) / intervention(s)

AI group: Full AI assistance was used throughout the standard colonoscopy procedure.

Serial group: After normal withdrawal of the colonoscope to the splenic flexure during standard colonoscopy, full AI assistance was initiated. The colonoscope was re-entered to the ileocecal region for observation. Any missed lesions were recorded.

Standard colonoscopy group: The standard colonoscopy procedure was performed as usual

Study summary

The investigators conducted a multicenter randomized controlled trial to explore the adjuvant effect of artificial intelligence in the detection of precancerous lesions in the proximal colon.This is a prospective, multicenter, single-blind, parallel randomized controlled trial.During the colonoscopy retraction process, the investigators aimed to compare the detection rates of proximal colon adenomas with and without the assistance of an AI(Artificial Intelligence) diagnostic device.

Eligibility

Primary outcome measure(s)

• Adenoma detection rate — Day 1
  The proportion of patients who have at least one adenoma detected during colonoscopy examination
• Average adenoma detection rate — Day 1
  The result is the number of adenomas detected by colonoscopy divided by the total number of colonoscopies performed.

Trial sites (1)

Other trials for the same condition