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.
Study Type
OBSERVATIONAL
Enrollment
52
endoscopists wear eye-tracking glasses during real-time colonoscopy
Radboud university medical center Nijmegen
Nijmegen, Gelderland, Netherlands
Mean gaze time per area of influence
Time frame: End of colonoscopy
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