Artificial Intelligence in Biliopancreatic Disorders: Applications in Cross-Imaging and Endoscopy
This review explores the transformative potential of artificial intelligence in the diagnosis and management of biliopancreatic disorders. By leveraging cutting-edge techniques such as deep learning and convolutional neural networks, artificial intelligence has significantly advanced gastroenterology, particularly in endoscopic procedures such as colonoscopy, upper endoscopy, and capsule endoscopy. These applications enhance adenoma detection rates, and improve lesion characterization and diagnostic accuracy.
