An artificial intelligence difficulty scoring system for stone removal during ERCP: a prospective validation.
Li HuangYouming XuJie ChenFeng LiuDeqing WuWei ZhouLianlian WuTingting PangXu HuangKuo ZhangHong Gang YuPublished in: Endoscopy (2022)
The CAD system effectively assessed and classified the degree of technical difficulty in endoscopic stone extraction during ERCP. In addition, it automatically provided a quantitative evaluation of CBD and stones, which in turn could help endoscopists to apply suitable procedures and interventional methods to minimize the possible risks associated with endoscopic stone removal.