AIMC Topic: Young Adult

Clear Filters Showing 2681 to 2690 of 4618 articles

Identifying cognitive deficits in cocaine dependence using standard tests and machine learning.

Progress in neuro-psychopharmacology & biological psychiatry Jul 25, 2019
There is a growing need to address the variability in detecting cognitive deficits with standard tests in cocaine dependence (CD). The aim of the current study was to identify cognitive deficits by means of Machine Learning (ML) algorithms: Generaliz...
Neuropsychological Tests Humans Cocaine-Related Disorders Machine Learning Female Young Adult Adult Male Cognitive Dysfunction Cognition
View on PubMed DOI

Convolutional Neural Network for Automated FLAIR Lesion Segmentation on Clinical Brain MR Imaging.

AJNR. American journal of neuroradiology Jul 25, 2019
BACKGROUND AND PURPOSE: Most brain lesions are characterized by hyperintense signal on FLAIR. We sought to develop an automated deep learning-based method for segmentation of abnormalities on FLAIR and volumetric quantification on clinical brain MRIs...
Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Male Middle Aged Deep Learning Adolescent Humans Retrospective Studies Female Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Brain Diseases Neuroimaging
View on PubMed DOI

Use of Social Robots in Mental Health and Well-Being Research: Systematic Review.

Journal of medical Internet research Jul 24, 2019
BACKGROUND: Technology-assisted clinical interventions are increasingly common in the health care field, often with the proposed aim to improve access to and cost-effectiveness of care. Current technology platforms delivering interventions are largel...
Adult Mental Health Middle Aged Mobile Applications Robotics Humans Young Adult
View on PubMed DOI

SpikeDeeptector: a deep-learning based method for detection of neural spiking activity.

Journal of neural engineering Jul 23, 2019
OBJECTIVE: In electrophysiology, microelectrodes are the primary source for recording neural data (single unit activity). These microelectrodes can be implanted individually or in the form of arrays containing dozens to hundreds of channels. Recordin...
Humans Neural Networks, Computer Middle Aged Deep Learning Action Potentials Neurons Quadriplegia Brain Female Young Adult Adult Male
View on PubMed DOI

Radiomics Analysis for Glioma Malignancy Evaluation Using Diffusion Kurtosis and Tensor Imaging.

International journal of radiation oncology, biology, physics Jul 22, 2019
PURPOSE: A noninvasive diagnostic method to predict the degree of malignancy accurately would be of great help in glioma management. This study aimed to create a highly accurate machine learning model to perform glioma grading.
Diffusion Magnetic Resonance Imaging Astrocytoma Oligodendroglioma Aged, 80 and over Neoplasm Grading Young Adult Datasets as Topic Adult Diffusion Tensor Imaging Brain Neoplasms Humans Anisotropy Middle Aged Male Machine Learning Adolescent Retrospective Studies Glioma Female Diagnosis, Differential Aged Glioblastoma
View on PubMed DOI

Predicting ideal outcome after pediatric liver transplantation: An exploratory study using machine learning analyses to leverage Studies of Pediatric Liver Transplantation Data.

Pediatric transplantation Jul 22, 2019
Machine learning analyses allow for the consideration of numerous variables in order to accommodate complex relationships that would not otherwise be apparent in traditional statistical methods to better classify patient risk. The SPLIT registry data...
Risk Assessment Infant Adolescent Child, Preschool Child Prospective Studies Risk Factors Young Adult Adult Pediatrics Anastomosis, Surgical Liver Failure Treatment Outcome Predictive Value of Tests Biliary Tract Surgical Procedures Registries Liver Transplantation Humans Machine Learning Software Algorithms
View on PubMed DOI

Intracortical neural activity distal to seizure-onset-areas predicts human focal seizures.

PloS one Jul 22, 2019
The apparent unpredictability of epileptic seizures has a major impact in the quality of life of people with pharmacologically resistant seizures. Here, we present initial results and a proof-of-concept of how focal seizures can be predicted early in...
Young Adult Adult Brain Mapping Male Humans Electroencephalography Cerebral Cortex Machine Learning Middle Aged Seizures Algorithms Action Potentials Signal Processing, Computer-Assisted Female
View on PubMed DOI

Is it possible to detect cerebral dominance via EEG signals by using deep learning?

Medical hypotheses Jul 20, 2019
Each brain hemisphere is dominant for certain functions such as speech. The determination of speech laterality prior to surgery is of paramount importance for accurate risk prediction. In this study, we aimed to determine speech laterality via EEG si...
Diagnosis, Computer-Assisted Deep Learning Adolescent Humans Support Vector Machine Electroencephalography Wernicke Area Retrospective Studies Young Adult Area Under Curve Reference Values Female Adult Fourier Analysis Aged Male Dominance, Cerebral Middle Aged Broca Area
View on PubMed DOI

Data-driven self-calibration and reconstruction for non-cartesian wave-encoded single-shot fast spin echo using deep learning.

Journal of magnetic resonance imaging : JMRI Jul 19, 2019
BACKGROUND: Current self-calibration and reconstruction methods for wave-encoded single-shot fast spin echo imaging (SSFSE) requires long computational time, especially when high accuracy is needed.
Magnetic Resonance Imaging Artifacts Calibration Male Middle Aged Deep Learning Image Processing, Computer-Assisted Humans Prospective Studies Female Aged Young Adult Adult
View on PubMed DOI

Denoising and artefact removal for transthoracic echocardiographic imaging in congenital heart disease: utility of diagnosis specific deep learning algorithms.

The international journal of cardiovascular imaging Jul 19, 2019
Deep learning (DL) algorithms are increasingly used in cardiac imaging. We aimed to investigate the utility of DL algorithms in de-noising transthoracic echocardiographic images and removing acoustic shadowing artefacts specifically in patients with ...
Humans Female Image Interpretation, Computer-Assisted Artifacts Signal-To-Noise Ratio Heart Defects, Congenital Echocardiography Reproducibility of Results Young Adult Middle Aged Adult Case-Control Studies Male Deep Learning Predictive Value of Tests
View on PubMed DOI
Popular Topics
Recent Journals