New AI model for neoplasia detection and characterisation in inflammatory bowel disease

Message Endoscopic neoplasia detection in inflammatory bowel disease (IBD) remains challenging. We developed and validated a novel artificial intelligence (AI) model for lesion detection and characterisation in 478 images from 30 patients with IBD, 10 of whom had a total of 25 neoplastic lesions (including 8 sessile serrated polyps); sensitivity and specificity for lesion detection were 93.5% and 80.6%, respectively. The IBD model was then further validated during a real-time endoscopic assessment of a further 30 consecutive patients with 25 neoplastic lesions found in 11/30 of them and achieved lesion detection rate, lesion per colonoscopy and neoplasia per colonoscopy of 90.4%, 4.6% and 0.96. respectively. The sensitivity and specificity of lesion characterisation were 87.5% and 80.6%, respectively. In more detailsDevelopment of the IBD deep learning model Deep learning (DL) is a subset of AI that uses multilayered computer algorithms (also called deep artificial neural networks)...
Source: Gut - Category: Gastroenterology Authors: Tags: Gut Endoscopy news Source Type: research