Endoscopy, Inhaltsverzeichnis Endoscopy 2025; 57(S 02): S335-S336DOI: 10.1055/s-0045-1805830 Abstracts | ESGE Days 2025 ePosters A novel artificial intelligence system for anatomical landmarks recognition in EUS Authors Institutsangaben G Rizzatti 1 Agostino Gemelli University Policlinic, Rome, Italy S S De Lucia 2 Agostino Gemelli University Policlinic, Roma, Italy G Tripodi 1 Agostino Gemelli University Policlinic, Rome, Italy A Pellegrino 2 Agostino Gemelli University Policlinic, Roma, Italy I Boskoski 1 Agostino Gemelli University Policlinic, Rome, Italy A Larghi 1 Agostino Gemelli University Policlinic, Rome, Italy C Spada 1 Agostino Gemelli University Policlinic, Rome, Italy Artikel empfehlen Abstract Volltext Referenzen References 1 Zhang J, Zhu L, Yao L, Ding X, Chen D, Wu H. et al. Deep learning-based pancreas segmentation and station recognition system in EUS: development and validation of a useful training tool (with video). Gastrointestinal endoscopy 2020; 92 (4): 874-85 e3 PubMed PMID: 32387499 2 Zhang MM, Yang H, Jin ZD. et al. Differential diagnosis of pancreatic cancer from normal tissue with digital imaging processing and pattern recognition based on a support vector machine of EUS images. Gastrointest Endosc 2010; 72: 978-985 3 Marya NB, Powers PD, Chari ST, Gleeson FC, Leggett CL, Abu Dayyeh BK. et al. Utilisation of artificial intelligence for the development of an EUS-convolutional neural network model trained to enhance the diagnosis of autoimmune pancreatitis. Gut. 2021; 70 (7): 1335-44 PubMed PMID: 33028668 4 Kuwahara T, Hara K, Mizuno N, Okuno N, Matsumoto S, Obata M. et al. Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in Intraductal Papillary Mucinous Neoplasms of the Pancreas. Clinical and translational gastroenterology 2019; 10 (5): 1-8 PubMed PMID: 31117111. Pubmed Central PMCID: 6602761
