Automated Quality Assessment in Endoscopy: A Multimodal Deep Learning System for Bowel Preparation Evaluation
P. Marílio cardoso
Real World Multicenter Evaluation of AI Assisted Detection of Protruding Lesions on Capsule Endoscopy
J. Mota
Redefining treat-to-target in Crohn’s disease: a pan-intestinal, multidevice deep learning model for the detection and differentiation of ulcers and erosions in capsule endoscopy
J. Afonso
Therapeutic Success and Adverse Events in Endoscopic Papillectomy: a multicentric, retrospective study
S. Ribeiro correia
Unmasking IBS: A Deep Learning Model for Functional Disease Detection in patients with Suspected Inflammatory Bowel Disease
J. Afonso
Artificial Intelligence for Detection of Small Bowel Erosions and Ulcers in Capsule Endoscopy: Real-World Evidence from a Multicentric Transcontinental Prospective Study
C. Araújo
Artificial Intelligence for GI Bleeding: Transcontinental Multicenter Validation of Automated Vascular and Haematic Detection in Capsule Endoscopy