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

L

Limian Er

Status

Begins enrollment this month

Conditions

Diarrhea
Black Stools
Constipation
Abdominal Pain

Treatments

Procedure: Serial group
Procedure: Standard colonoscopy group
Procedure: AI group

Study type

Observational

Funder types

Other

Identifiers

NCT07338643
2025KS177

Details and patient eligibility

About

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.

Enrollment

1,200 estimated patients

Sex

All

Volunteers

No Healthy Volunteers

Inclusion criteria

1.Patients with symptoms such as abdominal pain, black stools, constipation, or diarrhea undergo colonoscopy for diagnostic purposes.

Exclusion criteria

  1. Those with inflammatory bowel disease, colorectal cancer and surgical history, as well as those with familial polyposis syndrome
  2. Those with intestinal obstruction or malignant tumors
  3. Patients with colorectal lesions that need to be treated in stages.
  4. Other contraindications for colonoscopy examination.

Trial design

1,200 participants in 3 patient groups

AI group
Treatment:
Procedure: AI group
Series group
Treatment:
Procedure: Serial group
Standard group
Treatment:
Procedure: Standard colonoscopy group

Trial contacts and locations

1

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Central trial contact

Li mian Er, doctor; Zhenzhen Wang, master

Data sourced from clinicaltrials.gov

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