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Automated MRI-Based Deep Learning Model for Detection of Alzheimer's Disease Process.

International journal of neural systems Jun 1, 2020
In the context of neuro-pathological disorders, neuroimaging has been widely accepted as a clinical tool for diagnosing patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI). The advanced deep learning method, a novel brain imagi...
Sensitivity and Specificity Datasets as Topic Humans Support Vector Machine Male Female Neuroimaging Magnetic Resonance Imaging Aged Deep Learning Models, Neurological Aged, 80 and over Cognitive Dysfunction Alzheimer Disease
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Machine learning-based prediction of outcomes of the endoscopic endonasal approach in Cushing disease: is the future coming?

Neurosurgical focus Jun 1, 2020
OBJECTIVE: Machine learning (ML) is an innovative method to analyze large and complex data sets. The aim of this study was to evaluate the use of ML to identify predictors of early postsurgical and long-term outcomes in patients treated for Cushing d...
Young Adult Adult Humans Male Adolescent Middle Aged Machine Learning Nasal Cavity Forecasting Neuroendoscopy Retrospective Studies Treatment Outcome Pituitary ACTH Hypersecretion Female Follow-Up Studies Aged Predictive Value of Tests
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Incremental inputs improve the automated detection of implant loosening using machine-learning algorithms.

The bone & joint journal Jun 1, 2020
AIMS: The aim of this study was to evaluate the ability of a machine-learning algorithm to diagnose prosthetic loosening from preoperative radiographs and to investigate the inputs that might improve its performance.
Knee Prosthesis Male Humans Machine Learning Prosthesis Failure Algorithms Female Aged Middle Aged Postoperative Complications Radiography
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Genome-wide prediction for complex traits under the presence of dominance effects in simulated populations using GBLUP and machine learning methods.

Journal of animal science Jun 1, 2020
The aim of this study was to compare the predictive performance of the Genomic Best Linear Unbiased Predictor (GBLUP) and machine learning methods (Random Forest, RF; Support Vector Machine, SVM; Artificial Neural Network, ANN) in simulated populatio...
Machine Learning Phenotype Computer Simulation Female Animals Male Multifactorial Inheritance Genomics Genes, Dominant Genotype Breeding Genome
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Leveraging artificial intelligence to monitor unhealthy food and brand marketing to children on digital media.

The Lancet. Child & adolescent health Jun 1, 2020
Diet Therapy Marketing Female Male Adolescent Child Health Promotion Humans Social Media Internet Artificial Intelligence Food Industry
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Automated Segmentation of Left Ventricular Myocardium on Cardiac Computed Tomography Using Deep Learning.

Korean journal of radiology Jun 1, 2020
OBJECTIVE: To evaluate the accuracy of a deep learning-based automated segmentation of the left ventricle (LV) myocardium using cardiac CT.
Sensitivity and Specificity Male Middle Aged Deep Learning Coronary Artery Disease Heart Ventricles Automation Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Algorithms
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Characterizing Individual Differences in a Dynamic Stabilization Task Using Machine Learning.

Aerospace medicine and human performance Jun 1, 2020
: Being able to identify individual differences in skilled motor learning during disorienting conditions is important for spaceflight, military aviation, and rehabilitation.: Blindfolded subjects ( = 34) were strapped into a device that behaved like ...
Male Adolescent Postural Balance Task Performance and Analysis Machine Learning Female Young Adult Adult Motor Skills Orientation, Spatial Proprioception Space Flight Humans
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Spoken words as biomarkers: using machine learning to gain insight into communication as a predictor of anxiety.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2020
OBJECTIVE: The goal of this study was to explore whether features of recorded and transcribed audio communication data extracted by machine learning algorithms can be used to train a classifier for anxiety.
Humans Machine Learning Algorithms Language Family Anxiety Caregivers Speech Female Interviews as Topic Communication Proof of Concept Study Male Middle Aged
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Fully Automated Segmentation of Connective Tissue Compartments for CT-Based Body Composition Analysis: A Deep Learning Approach.

Investigative radiology Jun 1, 2020
OBJECTIVE: Body composition comprises prognostic information in patients with various malignancies and can be opportunistically determined from routine computed tomography (CT) scans. However, accurate assessment of patients with alterations, for exa...
Humans Deep Learning Neural Networks, Computer Body Composition Retrospective Studies Subcutaneous Fat Tomography, X-Ray Computed Female Male
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The Use of Random Forests to Identify Brain Regions on Amyloid and FDG PET Associated With MoCA Score.

Clinical nuclear medicine Jun 1, 2020
PURPOSE: The aim of this study was to evaluate random forests (RFs) to identify ROIs on F-florbetapir and F-FDG PET associated with Montreal Cognitive Assessment (MoCA) score.
Machine Learning Brain Female Aged Humans Positron-Emission Tomography Amyloid Fluorodeoxyglucose F18 Male Ethylene Glycols Middle Aged Image Processing, Computer-Assisted Aniline Compounds
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