Application of artificial intelligence in endoscopic ultrasonography diagnosis of pancreatic diseases

Abstract

The development of endoscopic ultrasonography (EUS) examination technology provides a new means for the diagnosis and treatment of pancreatic diseases, but how to form an objective and efficient diagnosis and treatment method is still a hot and difficult focus in EUS research. In recent years, artificial intelligence technology has developed rapidly and penetrated into various fields of medicine. Previous research suggests that artificial intelligence can be used to assist in detecting images for accurate and rapid EUS diagnosis. By adopting different classification models and combining different ultrasound methods, artificial intelligence has achieved high sensitivity and specificity in the diagnosis of various pancreatic diseases, and can be applied to the prognosis evaluation of patients with pancreatic tumor after treatment. In the future, the development of artificial intelligence in the EUS field will surely take root in the specialized segmentation field. Key words: Artificial intelligence; Pancreatic disease; Endoscopic ultrasound