Pc.01.1 artificial intelligence-assisted small bowel capsule endoscopy reading in patients with suspected small bowel bleeding

Aims Capsule endoscopy (CE) reading is time consuming, and readers are required to maintain attention to not miss significant findings. Deep neural networks (DNNs) can recognize relevant findings, possibly exceeding human performances, reducing the reading time of CE. Primary aim of this study was to assess the non-inferiority of Artificial intelligence (AI)-assisted vs standard reading for the detection of potentiallly bleeding lesions at per-patient analysis. Secondary aim was to compare the mean reading time in the two modalities.