Belén Agudo Castillo, Miguel Mascarenhas, Miguel Martins, Francisco Mendes, Daniel de la Iglesia, Antonio Miguel Martins Pinto da Costa, Carlos Esteban Fernández-Zarza, Mariano González-Haba Ruiz
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Advancements in biliopancreatic endoscopy - A comprehensive review of artificial intelligence in EUS and ERCP.
The development and implementation of artificial intelligence (AI), particularly deep learning (DL) models, has generated significant interest across various fields of gastroenterology. While research in luminal endoscopy has seen rapid translation to clinical practice with approved AI devices, its potential extends far beyond, offering promising benefits for biliopancreatic endoscopy like optical characterization of strictures during cholangioscopy or detection and classification of pancreatic lesions during diagnostic endoscopic ultrasound (EUS). This narrative review provides an up-to-date of the latest literature and available studies in this field. Serving as a comprehensive guide to the current landscape of AI in biliopancreatic endoscopy, emphasizing technological advancements, main applications, ethical considerations, and future directions for research and clinical implementation.
期刊介绍:
La Revista Española de Enfermedades Digestivas, Órgano Oficial de la Sociedad Española de Patología Digestiva (SEPD), Sociedad Española de Endoscopia Digestiva (SEED) y Asociación Española de Ecografía Digestiva (AEED), publica artículos originales, editoriales, revisiones, casos clínicos, cartas al director, imágenes en patología digestiva, y otros artículos especiales sobre todos los aspectos relativos a las enfermedades digestivas.