Develops an AI system to measure false positives in colonoscopy, indicating improved accuracy.
Objectives: False positive detection (FPD) is a clinically relevant challenge that must be solved to ensure the safe and effective integration of artificial intelligence (AI) into colonoscopy. This study aimed to develop a novel AI system for quantifying FPD and to compare FPD rates between two commercially available AI platforms.
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Yoshida et al. (2026) studied this question.
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