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Objectives
In this study we aimed to develop an artificial intelligence‐based model for predicting postendoscopic retrograde cholangiopancreatography (ERCP) pancreatitis (PEP).
Methods
We retrospectively reviewed ERCP patients at Nagoya University Hospital (NUH) and Toyota Memorial Hospital (TMH). We constructed two prediction models, a random forest (RF), one of the machine‐learning algorithms,...
Objectives
No comprehensive study has examined short‐ and long‐term adverse outcomes of endoscopic ultrasound (EUS)‐guided treatment of pancreatic fluid collections (PFCs) including walled‐off necrosis (WON) and pseudocysts.
Methods
In a multi‐institutional cohort of 357 patients receiving EUS‐guided treatment of PFCs (228 with WON and 129 with pseudocysts), we examined PFC type‐specific risk factors...
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