Conclusion
CH‐EUS MASTER is a promising artificial intelligence system diagnosing malignant and benign pancreatic masses and may guide FNA in real time.Trial registration number: NCT04607720.This study was to construct a deep‐learning based system, CH‐EUS MASTER, for facilitating diagnosing pancreatic masses in contrast‐enhanced harmonic endoscopic ultrasonography (CH‐EUS), and for guiding EUS‐guided fine‐needle aspiration (EUS‐FNA) in real‐time, to improve the ability of distinguishing between malignant and benign pancreatic masses. The CH‐EUS MASTER system is composed of Model 1 (real‐time capture and segmentation) and Model 2 (benign and malignant identification). It was developed using deep convolutional neural networks and RandomForest algorithm. In clinical trial, the accuracy, sensitivity and specificity for diagnosing pancreatic masses by CH‐EUS MASTER were significantly better than that of endoscopists. CH‐EUS MASTER guided EUS‐FNA significantly improved the first pass diagnostic yield.
