Id: 3521955 application of artificial intelligence for real-time anatomical recognition during endoscopic ultrasound evaluation: a pilot study

Endoscopic ultrasound (EUS) is a high-skilled procedure with a limited number of facilities available for training. A high number of procedures is necessary to achieve competency. However, the agreement between observers varies widely. Artificial intelligence (AI) aided recognition and characterization of anatomical structures may improve the training process while improving the agreement between observers. We aimed to develop an artificial intelligence model that recognizes in real-time the anatomical structures during EUS evaluations.