Artificial intelligence in pancreaticobiliary endoscopy: Current applications and future directions.

Pancreaticobiliary endoscopy is an essential tool for diagnosing and treating pancreaticobiliary diseases. However, it does not fully meet clinical needs, which presents challenges such as significant difficulty in operation and risks of missed diagnosis or misdiagnosis. In recent years, artificial intelligence (AI) has enhanced the diagnostic and treatment efficiency and quality of pancreaticobiliary endoscopy.

Preoperative gastric retention in endoscopic retrograde cholangiopancreatography patients: Assessing risks and optimizing outcomes.

This article is a comment on the article by Jia , aiming at establishing a predictive model to predict the occurrence of preoperative gastric retention in endoscopic retrograde cholangiopancreatography preparation. We share our perspectives on this predictive model. First, further differentiation in predicting the severity of gastric retention could enhance clinical outcomes.

Refining the targeted population and achieving better for colorectal cancer screening.

This editorial comments on the article entitled "Stage at diagnosis of colorectal cancer through diagnostic route: Who should be screened?" by Agatsuma , who conducted a retrospective study aiming at clarifying the stage at colorectal cancer (CRC) diagnosis based on different diagnostic routes. We share our opinion about CRC screening programs. The current situation suggests the need for a more specific and targeted population for CRC screening.