LAUSR

During the past four decades, EUS has developed rapidly and has established itself as a vital tool in the diagnosis and treatment of digestive system diseases. [1] Nevertheless, there are still some limitations related to image-related interpretation such as overlap of various diagnoses, interobser ver variabi l i ty, fa lse posit ives, and false negatives. [2] Recent improvements in deep learning (DL) techniques and computing power have made computer-aided diagnosis (CAD) system, a useful tool in the field of medical imaging. [3] Furthermore, artificial intelligence (AI)-related image processing techniques have widely penetrated in various medical fields and have achieved some promising initial results.[4-6] Processing and analyzing EUS images utilizing AI-related CAD (AI-CAD) may overcome limitations of diagnostic EUS and improve differentiation of benign and malignant processes as well as decrease interobserver variability in endosonography which is an operator-dependent technique. WHAT IS ARTIFICIAL INTELLIGENCE?