Deep learning for pancreatic diseases based on endoscopic ultrasound: A systematic review

Minyue Yin, Lu Liu, Jingwen Gao, Jiaxi Lin, Shuting Qu, Wei Xu, Xiaolin Liu, Chunfang Xu, Jinzhou Zhu

Abstract: Highlights•This study aims to review the application of deep learning in EUS-based diagnosis of pancreatic diseases.•We find a shift of research emphasis from single-modal to multi-modal (image-, video- and voice-based) model development.•This study finds a shift of model architecture from simple to complex for the improved performance.•This study displays the problems mainly include data characteristics and data preprocessing based on the IJMEDI checklist.•This study suggests that data-and codes-sharing benefit peer reproducibility and clinical practices.