Assessment of the role of false‐positive alerts in computer‐aided polyp detection for assistance capabilities
Chenxia Zhang,
Liwen Yao,
Ruiqing Jiang
et al.
Abstract:Background and AimFalse positives (FPs) pose a significant challenge in the application of artificial intelligence (AI) for polyp detection during colonoscopy. The study aimed to quantitatively evaluate the impact of computer‐aided polyp detection (CADe) systems' FPs on endoscopists.MethodsThe model's FPs were categorized into four gradients: 0–5, 5–10, 10–15, and 15–20 FPs per minute (FPPM). Fifty‐six colonoscopy videos were collected for a crossover study involving 10 endoscopists. Polyp missed rate (PMR) wa… Show more
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