Radboud university medical center Nijmegen
Nijmegen, Gelderland, 6500 HB, Netherlands
NCT Number: NCT05619614
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.
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Observational
Nijmegen, Gelderland, 6500 HB, Netherlands
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
of patients:
Exclusion criteria
of patients:
endoscopists wear eye-tracking glasses during real-time colonoscopy
Time frame: End of colonoscopy
Radboud University Medical Center
Other
The Influence of Artificial Intelligence (AI) Assisted Polyp Detection (Discovery System) on Visual Gaze Patterns During Real-time Colonoscopy
Acronym: REVEAL
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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.
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