AIMC Topic: Pancreatic Neoplasms
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Classification prediction of pancreatic cystic neoplasms based on radiomics deep learning models.
BMC cancer
Nov 29, 2022
BACKGROUND: Preoperative prediction of pancreatic cystic neoplasm (PCN) differentiation has significant value for the implementation of personalized diagnosis and treatment plans. This study aimed to build radiomics deep learning (DL) models using co...
Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitors.
BMC cancer
Nov 24, 2022
BACKGROUND: Vast amounts of rapidly accumulating biological data related to cancer and a remarkable progress in the field of artificial intelligence (AI) have paved the way for precision oncology. Our recent contribution to this area of research is C...
A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based on F-FDG PET/CT images.
Japanese journal of radiology
Nov 21, 2022
PURPOSE: To explore a multidomain fusion model of radiomics and deep learning features based on F-fluorodeoxyglucose positron emission tomography/computed tomography (F-FDG PET/CT) images to distinguish pancreatic ductal adenocarcinoma (PDAC) and aut...
A chronicle of the pancreatoduodenectomy technique development - from the surgeon's hand to the robotic arm.
Acta chirurgica Belgica
Nov 11, 2022
BACKGROUND: Pancreatoduodenectomy (PD) remains one of the most challenging abdominal surgical procedures.
Effect of Operative Time on Outcomes of Minimally Invasive Versus Open Pancreatoduodenectomy.
Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
Nov 10, 2022
OBJECTIVE: To evaluate how operative time interacts with outcomes among different approaches to pancreaticoduodenectomy (PD). Minimally invasive PDs (MIPD), which include laparoscopic (LPD) and robotic (RPD) approaches, are increasingly performed in ...
Accurate prediction of histological grading of intraductal papillary mucinous neoplasia using deep learning.
Endoscopy
Nov 2, 2022
BACKGROUND: Risk stratification and recommendation for surgery for intraductal papillary mucinous neoplasm (IPMN) are currently based on consensus guidelines. Risk stratification from presurgery histology is only potentially decisive owing to the low...
Three-dimensional simulation of the pancreatic parenchyma, pancreatic duct and vascular arrangement in pancreatic surgery using a deep learning algorithm.
PloS one
Oct 28, 2022
Three-dimensional surgical simulation, already in use for hepatic surgery, can be used in pancreatic surgery. However, some problems still need to be overcome to achieve more precise pancreatic surgical simulation. The present study evaluates the per...
Artificial intelligence in pancreatic cancer.
Theranostics
Oct 3, 2022
Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%. The pancreatic cancer patients diagnosed with early screening have a median overall survival of nearly ten years, compared with 1.5 years for those not di...
Deep Learning to Detect Pancreatic Cancer at CT: Artificial Intelligence Living Up to Its Hype.
Radiology
Sep 13, 2022
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...
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