AIMC Topic: Aged, 80 and over

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A radiomics approach based on support vector machine using MR images for preoperative lymph node status evaluation in intrahepatic cholangiocarcinoma.

Theranostics Jul 9, 2019
: Accurate lymph node (LN) status evaluation for intrahepatic cholangiocarcinoma (ICC) patients is essential for surgical planning. This study aimed to develop and validate a prediction model for preoperative LN status evaluation in ICC patients. : A...
Preoperative Care Nomograms Adult Humans Support Vector Machine Male Female Magnetic Resonance Imaging Middle Aged Reproducibility of Results Calibration ROC Curve Aged Cholangiocarcinoma Lymph Nodes Aged, 80 and over
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Salivary metabolomics with alternative decision tree-based machine learning methods for breast cancer discrimination.

Breast cancer research and treatment Jul 8, 2019
PURPOSE: The aim of this study is to explore new salivary biomarkers to discriminate breast cancer patients from healthy controls.
Clinical Decision-Making Female Aged Aged, 80 and over Adult Humans Machine Learning Saliva Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Breast Neoplasms Cross-Sectional Studies Middle Aged ROC Curve Metabolomics
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Application of artificial neural network model in diagnosis of Alzheimer's disease.

BMC neurology Jul 8, 2019
BACKGROUND: Alzheimer's disease has become a public health crisis globally due to its increasing incidence. The purpose of this study was to establish an early warning model using artificial neural network (ANN) for early diagnosis of AD and to explo...
Case-Control Studies Trace Elements Nerve Tissue Proteins Area Under Curve Amyloid beta-Peptides Female Aged Aged, 80 and over Sensitivity and Specificity Male Peptide Fragments Alzheimer Disease Early Diagnosis Humans Neural Networks, Computer Biomarkers
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Identifying incident dementia by applying machine learning to a very large administrative claims dataset.

PloS one Jul 5, 2019
Alzheimer's disease and related dementias (ADRD) are highly prevalent conditions, and prior efforts to develop predictive models have relied on demographic and clinical risk factors using traditional logistical regression methods. We hypothesized tha...
Aged Cognitive Dysfunction Humans Aged, 80 and over Dementia Machine Learning Adult Incidence Algorithms Male Datasets as Topic Female Middle Aged
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Cortical graph neural network for AD and MCI diagnosis and transfer learning across populations.

NeuroImage. Clinical Jul 4, 2019
Combining machine learning with neuroimaging data has a great potential for early diagnosis of mild cognitive impairment (MCI) and Alzheimer's disease (AD). However, it remains unclear how well the classifiers built on one population can predict MCI/...
Magnetic Resonance Imaging Aged Humans Alzheimer Disease Aged, 80 and over Neural Networks, Computer Neuroimaging Male Databases, Factual Cerebral Cortex Middle Aged Female Transfer, Psychology Cognitive Dysfunction
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In-Bore Transrectal MRI-Guided Biopsy With Robotic Assistance in the Diagnosis of Prostate Cancer: An Analysis of 57 Patients.

AJR. American journal of roentgenology Jul 3, 2019
The objective of our study was to analyze the feasibility and potential role of robotic-assisted transrectal MRI-guided biopsy for the diagnosis of prostate cancer. A total of 57 patients (mean age, 67 ± 6 [SD] years; age range, 57-83 years; mean p...
Image-Guided Biopsy Magnetic Resonance Imaging, Interventional Aged, 80 and over Biomarkers, Tumor Humans Prostatic Neoplasms Male Retrospective Studies Prostate-Specific Antigen Middle Aged Aged Neoplasm Grading Robotics Rectum Feasibility Studies
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Development and Validation of a Deep Learning Algorithm for Mortality Prediction in Selecting Patients With Dementia for Earlier Palliative Care Interventions.

JAMA network open Jul 3, 2019
IMPORTANCE: Early palliative care interventions drive high-value care but currently are underused. Health care professionals face challenges in identifying patients who may benefit from palliative care.
Risk Assessment Deep Learning Dementia Registries Terminal Care Patient Selection Palliative Care Female Aged Aged, 80 and over Male Middle Aged Humans Retrospective Studies
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Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging: a proof of concept study.

European radiology Jul 1, 2019
OBJECTIVES: To evaluate the diagnostic performance of deep learning with the convolutional neural networks (CNN) to distinguish each representative parkinsonian disorder using MRI.
Female Aged Aged, 80 and over Adult Male Humans Neural Networks, Computer Retrospective Studies Diagnosis, Differential Parkinsonian Disorders Proof of Concept Study Multiple System Atrophy Middle Aged Supranuclear Palsy, Progressive Deep Learning ROC Curve Magnetic Resonance Imaging Parkinson Disease
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A feature agnostic approach for glaucoma detection in OCT volumes.

PloS one Jul 1, 2019
Optical coherence tomography (OCT) based measurements of retinal layer thickness, such as the retinal nerve fibre layer (RNFL) and the ganglion cell with inner plexiform layer (GCIPL) are commonly employed for the diagnosis and monitoring of glaucoma...
Female Aged Aged, 80 and over Young Adult Adult Male Middle Aged Deep Learning Humans Logistic Models Neural Networks, Computer Tomography, Optical Coherence Optic Disk Glaucoma Retinal Ganglion Cells Machine Learning Algorithms
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SmartPulse, a machine learning approach for calibration-free dynamic RF shimming: Preliminary study in a clinical environment.

Magnetic resonance in medicine Jun 30, 2019
PURPOSE: A calibration-free pulse design method is introduced to alleviate artifacts in clinical routine with parallel transmission at high field, dealing with significant inter-subject variability, found for instance in the abdomen.
Adult Calibration Radio Waves Male Middle Aged Image Processing, Computer-Assisted Abdomen Body Mass Index Magnetic Resonance Imaging Cluster Analysis Image Interpretation, Computer-Assisted Artifacts Humans Female Machine Learning Algorithms Reproducibility of Results Aged Aged, 80 and over Young Adult
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