The Influence of Artificial Intelligence (AI )Assisted Polyp Detection (Discovery System) on Visual Gaze Patterns During Real-time Colonoscopy (REVEAL)

Radboud University Medical Center

Status: Completed

Conditions: Colonic Neoplasms

Treatments: Device: eye-tracking glasses

Study type: Observational

Funder types: Other

Identifiers

NCT05619614

2022-13870

Details and patient eligibility

About

In this study, the investigators aim to assess the influence of a computer-aided detection (CADe) system on the visual gaze patterns of endoscopists in order to further understand the effect of AI during real-time colonoscopy.

Enrollment: 52 patients

Sex: All

Volunteers: No Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria of patients:

• Referred for diagnostic, screening or surveillance colonoscopy

Exclusion Criteria of patients:

• Therapeutic procedure
• Boston Bowel Prep Score (BBPS) score of <6

Trial design

52 participants in 3 patient groups

Patients

Description:

Participating patients who undergo colonoscopy

Endoscopists CADe

Description:

Physicians performing CADe colonoscopy

Treatment:

Device: eye-tracking glasses

Endoscopists CC

Description:

Physicians performing conventional colonoscopy

Treatment:

Device: eye-tracking glasses