Publications by authors named "Angeliki Sevasti Kollatou"

BACKGROUND Pancreatic calculi (PC) or pancreatolithiasis refers to the presence of stones in the main pancreatic duct (MPD), side branches, or parenchyma of the pancreas. It is highly associated with chronic pancreatitis (CP), and is present in 50-90% of those patients. The stone formation can be attributed to a diversity of factors, all of them leading to obstruction in the duct, hypertension of its distal part, increased intraductal and parenchymal pressure, and inflammation, causing the standard symptom, epigastric pain.

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Purpose: In the Emergency Departments (ED) the current triage systems that are been implemented are based completely on medical education and the perception of each health professional who is in charge. On the other hand, cutting-edge technology, Artificial Intelligence (AI) can be incorporated into healthcare systems, supporting the healthcare professionals' decisions, and augmenting the performance of triage systems. The aim of the study is to investigate the efficiency of AI to support triage in ED.

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Introduction And Importance: Ectopic Pancreas (EP) is a rare condition that is mostly found in the Gastrointestinal tract and especially in the stomach. Although the lesion is mainly asymptomatic, non-specific symptoms can be present, making the diagnosis even more challenging.

Case Presentation: In our case a 52-year-old woman, with heartburn as the only symptom, was undergone successive examinations, indicating a subepithelial lesion in the antrum of the stomach, from which only Magnetic Resonance Imaging (MRI) indicated the presence of ectopic pancreas, while Computed Tomography results considered the mass as Gastrointestinal Stromal Tumor.

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