AIMC Topic: Pancreas

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Pancreatic Cancer Detection on CT Scans with Deep Learning: A Nationwide Population-based Study.

Radiology Sep 13, 2022
Background Approximately 40% of pancreatic tumors smaller than 2 cm are missed at abdominal CT. Purpose To develop and to validate a deep learning (DL)-based tool able to detect pancreatic cancer at CT. Materials and Methods Retrospectively collected...
Tomography, X-Ray Computed Aged Humans Retrospective Studies Deep Learning Pancreatic Neoplasms Pancreas Sensitivity and Specificity Male
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Impact of the transection plan on postoperative pancreatic fistulas occurring after robot-assisted distal pancreatectomy for nonmalignant pancreatic neoplasms.

Surgical endoscopy Aug 8, 2022
OBJECTIVES: Postoperative pancreatic fistula (POPF) is the main complication of distal pancreatectomy (DP) and affects the prognosis of patients. The impact of several clinical factors mentioned in recent studies on POPF remains controversial. This s...
Humans Retrospective Studies Robotics Pancreas Pancreatectomy Pancreatic Fistula China Pancreatic Neoplasms Risk Factors Postoperative Complications
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Multiscale unsupervised domain adaptation for automatic pancreas segmentation in CT volumes using adversarial learning.

Medical physics Jul 27, 2022
PURPOSE: Computer-aided automatic pancreas segmentation is essential for early diagnosis and treatment of pancreatic diseases. However, the annotation of pancreas images requires professional doctors and considerable expenditure. Due to imaging diffe...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Pancreas
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Graph-enhanced U-Net for semi-supervised segmentation of pancreas from abdomen CT scan.

Physics in medicine and biology Jul 27, 2022
. Accurate segmentation of the pancreas from abdomen CT scans is highly desired for diagnosis and treatment follow-up of pancreatic diseases. However, the task is challenged by large anatomical variations, low soft-tissue contrast, and the difficulty...
Abdomen Pancreas Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Tomography, X-Ray Computed
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Identifying endotypes of individuals after an attack of pancreatitis based on unsupervised machine learning of multiplex cytokine profiles.

Translational research : the journal of laboratory and clinical medicine Jul 18, 2022
After an attack of pancreatitis, individuals may develop metabolic sequelae (eg, new-onset diabetes) and/or pancreatic cancer. These new-onset morbidities are, at least in part, driven by low-grade inflammation. The aim was to study the profiles of c...
Pancreas Pancreatitis Humans Cytokines Inflammation Unsupervised Machine Learning
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Robotic Pancreatoduodenectomy for Pancreatic Head Cancer: a Case Report of a Standardized Technique.

Journal of visualized experiments : JoVE Jun 24, 2022
Robotic pancreatoduodenectomy (RPD) for pancreatic cancer is a challenging procedure. Aberrant vasculature may increase the technical difficulty. Several studies have described the safety of RPD in case of a replaced or aberrant right hepatic artery,...
Robotics Robotic Surgical Procedures Pancreas Pancreaticoduodenectomy Middle Aged Pancreatic Neoplasms Humans Female
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Artificial intelligence implementation in pancreaticobiliary endoscopy.

Expert review of gastroenterology & hepatology Jun 14, 2022
INTRODUCTION: Artificial intelligence has been rapidly deployed in gastroenterology and endoscopy. The acceleration of deep convolutional neural networks along with hardware development has allowed implementation of artificial intelligence algorithms...
Endosonography Bile Ducts Pancreas Endoscopy, Gastrointestinal Cholangiopancreatography, Endoscopic Retrograde Humans Artificial Intelligence
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Using deep learning to predict abdominal age from liver and pancreas magnetic resonance images.

Nature communications Apr 13, 2022
With age, the prevalence of diseases such as fatty liver disease, cirrhosis, and type two diabetes increases. Approaches to both predict abdominal age and identify risk factors for accelerated abdominal age may ultimately lead to advances that will d...
Liver Pancreas Image Processing, Computer-Assisted Magnetic Resonance Imaging Neural Networks, Computer Deep Learning
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Accommodating Multiple Tasks' Disparities With Distributed Knowledge-Sharing Mechanism.

IEEE transactions on cybernetics Apr 5, 2022
Deep multitask learning (MTL) shares beneficial knowledge across participating tasks, alleviating the impacts of extreme learning conditions on their performances such as the data scarcity problem. In practice, participators stemming from different d...
Learning Pancreas Neural Networks, Computer Machine Learning
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[Robotic Pancreatic Surgery - Learning Curve and Implementation].

Zentralblatt fur Chirurgie Apr 4, 2022
Minimally invasive resection techniques for the treatment of various pathologies of the pancreas are potentially advantageous for the treated patients in terms of restitution time and postoperative morbidity, but are a technical challenge for the res...
Pancreatectomy Learning Curve Robotic Surgical Procedures Pancreas Humans Robotics
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