Cristiano Spada, Stefania Piccirelli, Cesare Hassan, Clarissa Ferrari, Ervin Toth, Begoña González-Suárez, Martin Keuchel, Marc McAlindon, Ádám Finta, András Rosztóczy, Xavier Dray, Daniele Salvi, Maria Elena Riccioni, Robert Benamouzig, Amit Chattree, Adam Humphries, Jean-Christophe Saurin, Edward J Despott, Alberto Murino, Gabriele Wurm Johansson, Antonio Giordano, Peter Baltes, Reena Sidhu, Milan Szalai, Krisztina Helle, Artur Nemeth, Tanja Nowak, Rong Lin, Guido Costamagna
BACKGROUND: Capsule endoscopy reading is time consuming, and readers are required to maintain attention so as not to miss significant findings. Deep convolutional neural networks can recognise relevant findings, possibly exceeding human performances and reducing the reading time of capsule endoscopy. Our primary aim was to assess the non-inferiority of artificial intelligence (AI)-assisted reading versus standard reading for potentially small bowel bleeding lesions (high P2, moderate P1; Saurin classification) at per-patient analysis...
May 2024: The Lancet. Digital health