Gastroenterology

Pancreatic Diseases

Latest AI and machine learning research in pancreatic diseases for healthcare professionals.

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Showing 967-987 of 5,684 articles
The use of machine learning improves the assessment of drug-induced driving behaviour.

RATIONALE: Car-driving performance is negatively affected by the intake of alcohol, tranquillizers, ...

Oct 2020 33125924
Discrimination of alcohol dependence based on the convolutional neural network.

In this paper, a total of 20 sites of single nucleotide polymorphisms (SNPs) on the serotonin 3 rece...

Oct 2020 33108388
Predicting alcohol dependence from multi-site brain structural measures.

To identify neuroimaging biomarkers of alcohol dependence (AD) from structural magnetic resonance im...

Oct 2020 33064342
Deep learning analysis for the detection of pancreatic cancer on endosonographic images: a pilot study.

BACKGROUND/PURPOSE: The application of artificial intelligence to clinical diagnostics using deep le...

Oct 2020 32910528
Improving the slice interaction of 2.5D CNN for automatic pancreas segmentation.

PURPOSE: Volumetric pancreas segmentation can be used in the diagnosis of pancreatic diseases, the r...

Oct 2020 32502278
SHIFT: speedy histological-to-immunofluorescent translation of a tumor signature enabled by deep learning.

Spatially-resolved molecular profiling by immunostaining tissue sections is a key feature in cancer ...

Oct 2020 33060677
Prognostic value of FDG-PET radiomics with machine learning in pancreatic cancer.

Patients with pancreatic cancer have a poor prognosis, therefore identifying particular tumor charac...

Oct 2020 33046736
Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records.

Type II diabetes mellitus (T2DM) is a significant public health concern with multiple known risk fac...

Oct 2020 34113927
The relation of CT quantified pancreatic fat index with visceral adiposity and hepatic steatosis.

OBJECTIVES: The purpose of this study was to investigate the relation between pancreatic steatosis a...

Sep 2020 33778378
Alcoholic liver disease: A registry view on comorbidities and disease prediction.

Alcoholic-related liver disease (ALD) is the cause of more than half of all liver-related deaths. Su...

Sep 2020 32960884
Development of a volumetric pancreas segmentation CT dataset for AI applications through trained technologists: a study during the COVID 19 containment phase.

PURPOSE: To evaluate the performance of trained technologists vis-à-vis radiologists for volumetric ...

Sep 2020 32939632
Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy.

Treatment planning for pancreas stereotactic body radiation therapy (SBRT) is a difficult and time-...

Sep 2020 33733185
ALICE: a hybrid AI paradigm with enhanced connectivity and cybersecurity for a serendipitous encounter with circulating hybrid cells.

A fully automated and accurate assay of rare cell phenotypes in densely-packed fluorescently-labeled...

Sep 2020 33042268
Development of a High-Fidelity Robot-Assisted Kidney Transplant Simulation Platform Using Three-Dimensional Printing and Hydrogel Casting Technologies.

Despite the adoption of robotic donor nephrectomy, the steep learning curve of robotic recipient tr...

Aug 2020 32597220
Pancreatic Cancer Imaging: A New Look at an Old Problem.

Computed tomography is the most commonly used imaging modality to detect and stage pancreatic cancer...

Aug 2020 32988674
Characterization of patients with advanced chronic pancreatitis using natural language processing of radiology reports.

STUDY AIM: To develop and apply a natural language processing algorithm for characterization of pati...

Aug 2020 32813684
A machine learning approach identified a diagnostic model for pancreatic cancer through using circulating microRNA signatures.

Late diagnosis of pancreatic cancer (PC) due to the limited effectiveness of modern testing approach...

Aug 2020 32800647
High spatially sensitive quantitative phase imaging assisted with deep neural network for classification of human spermatozoa under stressed condition.

Sperm cell motility and morphology observed under the bright field microscopy are the only criteria ...

Aug 2020 32753627
Using machine learning for real-time BAC estimation from a new-generation transdermal biosensor in the laboratory.

BACKGROUND: Transdermal biosensors offer a noninvasive, low-cost technology for the assessment of al...

Aug 2020 32853998
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