Traditional pancreatobiliary endoscopy surgery is limited by the fact that capturing image information is time-consuming, inefficient, and susceptible to the level of the practitioner. Artificial intelligence, however, provides an efficient and accurate method of automatic image recognition for pancreaticobiliary endoscopic surgery, thus assisting clinicians to achieve rapid and accurate clinical predictions and guiding clinical decision-making. Moreover, artificial intelligence has great potential for applications in many aspects such as quality control and training of procedure. This paper provides an overview of the current status and research progress in the application of artificial intelligence in pancreatic and biliary endoscopic techniques, with the hope of offering new ideas and methods for improving the current clinical diagnosis and treatment pattern and realizing precision medicine for pancreatobiliary diseases.