摘要
In recent years there have been major developments in the field of artificial intelligence.The different areas of medicine have taken advantage of this tool to make various diagnostic and therapeutic methods more effective,safe,and userfriendly.In this way,artificial intelligence has been an increasingly present reality in medicine.In the field of Gastroenterology,the main application has been in the detection and characterization of colonic polyps,but an increasing number of studies have been published on the application of deep learning systems in other pathologies of the gastrointestinal tract.Evidence of the application of artificial intelligence in the assessment of biliary tract is still scarce.Some studies support the usefulness of these systems in the investigation and treatment of choledocholithiasis,demonstrating that they have the potential to be integrated into clinical practice and endoscopic procedures,such as endoscopic retrograde cholangiopancreatography.Its application in cholangioscopy for the investigation of undetermined biliary strictures also seems to be promising.Assessing the bile duct through endoscopic ultrasound can be challenging,especially for less experienced operators,thus becoming an area of potential interest for artificial intelligence.In this review,we summarize the state of the art of artificial intelligence in the endoscopic diagnosis and treatment of biliary diseases.
