AIMC Topic: Pancreatic Neoplasms

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Use of Artificial Intelligence Deep Learning to Determine the Malignant Potential of Pancreatic Cystic Neoplasms With Preoperative Computed Tomography Imaging.

The American surgeon Nov 1, 2020
BACKGROUND: Society consensus guidelines are commonly used to guide management of pancreatic cystic neoplasms (PCNs). However, downsides of these guidelines include unnecessary surgery and missed malignancy. The aim of this study was to use computed ...
Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Female Humans Pilot Projects Pancreatic Neoplasms Preoperative Period Adenocarcinoma, Mucinous Aged Male Middle Aged Deep Learning
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Deep learning analysis for the detection of pancreatic cancer on endosonographic images: a pilot study.

Journal of hepato-biliary-pancreatic sciences Oct 15, 2020
BACKGROUND/PURPOSE: The application of artificial intelligence to clinical diagnostics using deep learning has been developed in recent years. In this study, we developed an original computer-assisted diagnosis (CAD) system using deep learning analys...
Pilot Projects Pancreatic Neoplasms Endosonography Humans Artificial Intelligence Deep Learning
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SHIFT: speedy histological-to-immunofluorescent translation of a tumor signature enabled by deep learning.

Scientific reports Oct 15, 2020
Spatially-resolved molecular profiling by immunostaining tissue sections is a key feature in cancer diagnosis, subtyping, and treatment, where it complements routine histopathological evaluation by clarifying tumor phenotypes. In this work, we presen...
Microscopy, Fluorescence Coloring Agents Actins Keratins Female Aged Biomarkers, Tumor Middle Aged Deep Learning Image Processing, Computer-Assisted Staining and Labeling Pancreatic Neoplasms Humans Algorithms Phenotype
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Prognostic value of FDG-PET radiomics with machine learning in pancreatic cancer.

Scientific reports Oct 12, 2020
Patients with pancreatic cancer have a poor prognosis, therefore identifying particular tumor characteristics associated with prognosis is important. This study aims to investigate the utility of radiomics with machine learning using F-fluorodeoxyglu...
Humans Machine Learning Prognosis Retrospective Studies Middle Aged Pancreatic Neoplasms Positron Emission Tomography Computed Tomography Fluorodeoxyglucose F18 Female Aged Survival Rate Male
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Utilisation of artificial intelligence for the development of an EUS-convolutional neural network model trained to enhance the diagnosis of autoimmune pancreatitis.

Gut Oct 7, 2020
OBJECTIVE: The diagnosis of autoimmune pancreatitis (AIP) is challenging. Sonographic and cross-sectional imaging findings of AIP closely mimic pancreatic ductal adenocarcinoma (PDAC) and techniques for tissue sampling of AIP are suboptimal. These li...
Endosonography Image Interpretation, Computer-Assisted Observer Variation Pancreas Autoimmune Pancreatitis Humans Diagnosis, Differential Neural Networks, Computer Pancreatic Neoplasms Machine Learning Area Under Curve ROC Curve Carcinoma, Pancreatic Ductal
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ALICE: a hybrid AI paradigm with enhanced connectivity and cybersecurity for a serendipitous encounter with circulating hybrid cells.

Theranostics Sep 2, 2020
A fully automated and accurate assay of rare cell phenotypes in densely-packed fluorescently-labeled liquid biopsy images remains elusive. Employing a hybrid artificial intelligence (AI) paradigm that combines traditional rule-based morphological ma...
Microscopy, Fluorescence Internet of Things Liquid Biopsy Computer Security Male Female Humans Predictive Value of Tests Middle Aged Reproducibility of Results Principal Component Analysis Image Processing, Computer-Assisted Machine Learning Aged Neoplastic Cells, Circulating Pancreatic Neoplasms Software Cell Count Biomarkers, Tumor
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Pancreatic Cancer Imaging: A New Look at an Old Problem.

Current problems in diagnostic radiology Aug 26, 2020
Computed tomography is the most commonly used imaging modality to detect and stage pancreatic cancer. Previous advances in pancreatic cancer imaging have focused on optimizing image acquisition parameters and reporting standards. However, current sta...
Humans Artificial Intelligence Tomography, X-Ray Computed Pancreatic Neoplasms
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Characterization of patients with advanced chronic pancreatitis using natural language processing of radiology reports.

PloS one Aug 19, 2020
STUDY AIM: To develop and apply a natural language processing algorithm for characterization of patients diagnosed with chronic pancreatitis in a diverse integrated U.S. healthcare system.
Humans Proportional Hazards Models Retrospective Studies Kaplan-Meier Estimate Tomography, X-Ray Computed Diabetes Complications Pancreatic Neoplasms Female Pancreatitis, Chronic Natural Language Processing Pancreas Male Smoking Middle Aged Risk Factors Image Processing, Computer-Assisted Aged Body Mass Index Adult Sensitivity and Specificity
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A machine learning approach identified a diagnostic model for pancreatic cancer through using circulating microRNA signatures.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] Aug 9, 2020
Late diagnosis of pancreatic cancer (PC) due to the limited effectiveness of modern testing approaches, causes many patients to miss the chance of surgery and consequently leads to a high mortality rate. Pivotal improvements in circulating microRNA e...
Circulating MicroRNA Sensitivity and Specificity Survival Analysis Computational Biology Neural Networks, Computer Microarray Analysis MicroRNAs Humans Gene Expression Regulation, Neoplastic Machine Learning Kaplan-Meier Estimate Pancreatic Neoplasms Algorithms Predictive Value of Tests Early Detection of Cancer Reproducibility of Results Principal Component Analysis
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Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images.

Diagnostic pathology Jul 28, 2020
BACKGROUND: Multiplex immunohistochemistry (mIHC) permits the labeling of six or more distinct cell types within a single histologic tissue section. The classification of each cell type requires detection of the unique colored chromogens localized to...
Humans Biomarkers, Tumor Deep Learning Image Processing, Computer-Assisted Pancreatic Neoplasms Carcinoma, Pancreatic Ductal Immunohistochemistry
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