Multimodal convolutional neural network–based algorithm for real-time detection and differentiation of malignant and inflammatory biliary strictures in cholangioscopy: a proof-of-concept study (with video) - Ziegler, Joceline; Dobsch, Philipp; Rozema, Marten; Zuber-Jerger, Ina; Weigand, Kilian; Reuther, Stefan; Müller, Martina; Kandulski, Arne (Gastrointestinal endoscopy, 2025)
Keywords: Aged; Algorithms; Bile Duct Neoplasms - complications; Bile Duct Neoplasms - diagnosis; Bile Duct Neoplasms - diagnostic imaging; Biliary Tract Neoplasms - complications; Biliary Tract Neoplasms - diagnosis; Biliary Tract Neoplasms - diagnostic imaging; Cholangiocarcinoma - diagnosis; Cholangitis - diagnosis; Cholangitis - diagnostic imaging; Cholestasis - diagnostic imaging; Cholestasis - etiology; Constriction, Pathologic - diagnostic imaging; Convolutional Neural Networks; Deep Learning; Diagnosis, Computer-Assisted - methods; Diagnosis, Differential; Endoscopy, Digestive System - methods; Female; Humans; Male; Middle Aged; Neural Networks, Computer; Proof of Concept Study; ROC Curve; Sensitivity and Specificity; BTC; CADe; UMAP; PSC; CNN; NPV; PPV; DL; CADx; dSOC; AUC