Skip to main content
OpenTrials
Recruiting

NCT Number: NCT06077435

Comparative Analysis of AI Software for Enhanced Polyp Detection and Diagnosis

Purpose & Research Questions

The purpose of this study is to evaluate whether artificial intelligence (AI) improves the detection of polyps and whether the system can classify the type and severity of detected changes. The investigators will also assess if there are any differences between the various AI systems and whether the polyps that may be missed are benign or malignant.

Recruiting

Interested in participating?

Request Info

Key information

Age range

50 year–90 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Sahlgrenska University Hospital

Gothenburg, Gothenbburg, 41345, Sweden

Location status: Recruiting

Location contact

Jonas Varkey, MD, PhD

CONTACT

[email protected]

0046764030388

About this study

Materials: Selection, Representativeness, and Grouping

The study is a randomized controlled clinical trial conducted at Västra Götaland region. Patients are randomized to receive either AI or conventional endoscopy, and each endoscopy unit has access to at least one AI device. Informed consent is obtained from patients before the examination.

Before the examination, patients are asked if they want to participate in the study. If the patient wishes to participate, informed consent is obtained. The endoscopist then draws a slip from an envelope, determining whether conventional colonoscopy or AI will be used. During conventional colonoscopy, the patient is examined according to routine practice. After the examination, a questionnaire is filled out, recording various findings from the examination. During AI examinations, the AI system is activated only during instrument withdrawal. The system identifies polyps and alerts the endoscopist. Additionally, two of the AI systems (GI-Genius, CADEYE) have the ability to characterize the detected polyps and provide an interpretation of whether the changes are benign or malignant. After the examination, a similar questionnaire is completed as in conventional colonoscopy.

Method: Data Collection

Basic data will be recorded, including the reason for the examination, other illnesses, medications, demographic data such as gender, age, family history of cancer, and the time of the examination (morning or afternoon). During the examination, the following will be recorded: the number of polyps, macroscopic classification of polyps, AI system's characterization of the polyps, bowel cleansing quality, laxative method, medication during the examination, complications occurring during or after the examination. Withdrawal time is recorded, as well as the number of false-positive polyps and supplementation with histological data of polyps after review by the pathologist. All materials and costs associated with the examination are recorded.

Three different AI systems will be used at the various hospital sites, namely EndoAid (Olympus), CADEYE (Fujinon), and GI-Genius (Medtronic). All units will randomize each examination to either AI or non-AI.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Age > 50 years
  • Elective colonoscopy

Exclusion criteria

  • Patient declines to participate in the study.
  • Age < 50 years
  • Unprepared bowel

Treatment and study plan

AI

Device

AI system

Primary outcomes

  1. To compare the effectiveness of AI systems in characterizing polyps with conventional histology

    Time frame: During procedure (5minutes)

    The endoscopist's ability to characterize lesions with and without AI will be assessed, and this assessment will be compared to histology

  2. Comparison of Adenoma Detection Rates (ADR) between colonoscopies assisted by Artificial Intelligence (AI) and conventional colonoscopies without AI

    Time frame: During procedure (up to 40 minutes)

    The ADR is typically expressed as a percentage and is calculated using the following formula:Number of colonoscopies with adenoma detection/ Total number of colonoscopies

    ×100.

  3. To assess and compare the costs associated with AI-assisted colonoscopy versus conventional colonoscopy.

    Time frame: During procedure (5minutes)

    Each cost associated with each examination, whether using AI-assisted or conventional colonoscopy, will be recorded prospectively.

Study contacts

Contact information is provided by the study sponsor or research team.

Jonas Varkey, MD, PhD

CONTACT

[email protected]

0046764030388

Sponsors and collaborators

Lead sponsor

Sahlgrenska University Hospital

Other

Registry information

Official study title

Comparative Analysis of AI Software and Conventional Colonoscopy for Enhanced Polyp Detection and Diagnosis: A Randomized Controlled Trial

Important dates

Study start
2023
Primary completion
2026
Study completion
2026
First posted
Oct 11, 2023
Registry last updated
Nov 24, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.