AIMC Topic: Young Adult

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Hypofractionated Robotic Stereotactic Radiosurgery for Vagal Paragangliomas: A Novel Treatment Strategy for Cranial Nerve Preservation.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Mar 3, 2020
OBJECTIVE: To provide the first description of hypofractionated stereotactic radiosurgery (SRS) and evaluate tumor control and safety for vagal paragangliomas (VPs), which begin at the skull base but often have significant extracranial extension.
Tomography, X-Ray Computed Female Young Adult Adult Male Humans Retrospective Studies Robotics Neoplasm Staging Radiosurgery Vagus Nerve Cranial Nerve Neoplasms Paraganglioma Middle Aged Adolescent Treatment Outcome Follow-Up Studies Magnetic Resonance Imaging
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Pragmatics, Theory of Mind and executive functions in schizophrenia: Disentangling the puzzle using machine learning.

PloS one Mar 3, 2020
OBJECTIVE: Schizophrenia is associated with a severe impairment in the communicative-pragmatic domain. Recent research has tried to disentangle the relationship between communicative impairment and other domains usually impaired in schizophrenia, i.e...
Bayes Theorem Communication Male Memory, Short-Term Middle Aged Humans Schizophrenia Linguistics Case-Control Studies Machine Learning Neuropsychological Tests Cognition Schizophrenic Psychology Female Models, Psychological Theory of Mind Young Adult Adult Executive Function Social Communication Disorder
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Machine-learning-based computed tomography radiomic analysis for histologic subtype classification of thymic epithelial tumours.

European journal of radiology Mar 2, 2020
PURPOSE: To evaluate the performance of machine-learning-based computed tomography (CT) radiomic analysis to differentiate high-risk thymic epithelial tumours (TETs) from low-risk TETs according to the WHO classification.
Thymus Gland ROC Curve Area Under Curve Image Interpretation, Computer-Assisted Neoplasms, Glandular and Epithelial Thymus Neoplasms Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Adult Male Middle Aged Female Aged Young Adult
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A-phase classification using convolutional neural networks.

Medical & biological engineering & computing Mar 2, 2020
A series of short events, called A-phases, can be observed in the human electroencephalogram (EEG) during Non-Rapid Eye Movement (NREM) sleep. These events can be classified in three groups (A1, A2, and A3) according to their spectral contents, and a...
Adult Male Deep Learning Electroencephalography Signal Processing, Computer-Assisted Sleep Stages Humans Neural Networks, Computer Female Young Adult
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Differentiation of distal ureteral stones and pelvic phleboliths using a convolutional neural network.

Urolithiasis Feb 27, 2020
The objectives were to develop and validate a Convolutional Neural Network (CNN) using local features for differentiating distal ureteral stones from pelvic phleboliths, compare the CNN method with a semi-quantitative method and with radiologists' as...
Male Middle Aged Adolescent ROC Curve Diagnosis, Differential Female Aged Aged, 80 and over Young Adult Adult Ureteral Calculi Renal Colic Pelvis Datasets as Topic Vascular Calcification Ureter Veins Humans Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed
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Using machine learning analyses to explore relations between eyewitness lineup looking behaviors and suspect guilt.

Law and human behavior Feb 27, 2020
OBJECTIVE: We conducted 2 experiments using machine learning to better understand which lineup looking behaviors postdict suspect guilt., Hypotheses: We hypothesized that (a) lineups with guilty suspects would be subject to shorter viewing duration o...
Humans Machine Learning Criminal Law Support Vector Machine Female Decision Making Young Adult Mental Recall Male Recognition, Psychology Adolescent Guilt Child
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Identifying the presence and timing of discrete mood states prior to therapy.

Behaviour research and therapy Feb 27, 2020
The present study tested a novel, person-specific method for identifying discrete mood profiles from time-series data, and examined the degree to which these profiles could be predicted by lagged mood and anxiety variables and time-based variables, i...
Anhedonia Fear Biological Variation, Individual Hope Anger Avoidance Learning Rumination, Cognitive Irritable Mood Depression Humans Latent Class Analysis Male Machine Learning Time Factors Middle Aged Female Psychotherapy Depressive Disorder, Major Young Adult Affect Anxiety Adult Anxiety Disorders
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A neural network method to predict task- and step-specific ground reaction force magnitudes from trunk accelerations during running activities.

Medical engineering & physics Feb 27, 2020
Prediction of ground reaction force (GRF) magnitudes during running-based sports has several important applications, including optimal load prescription and injury prevention in athletes. Existing methods typically require information from multiple b...
Humans Neural Networks, Computer Female Young Adult Torso Biomechanical Phenomena Male Running Acceleration Mechanical Phenomena
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Calculating the target exposure index using a deep convolutional neural network and a rule base.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 27, 2020
PURPOSE: The objective of this study is to determine the quality of chest X-ray images using a deep convolutional neural network (DCNN) and a rule base without performing any visual assessment. A method is proposed for determining the minimum diagnos...
Radiography, Thoracic Thorax Mediastinum Aged Aged, 80 and over Young Adult Humans Middle Aged Adult Neural Networks, Computer Lung Sensitivity and Specificity Tomography, X-Ray Computed Deep Learning Reproducibility of Results Image Processing, Computer-Assisted Spine
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Machine learning on genome-wide association studies to predict the risk of radiation-associated contralateral breast cancer in the WECARE Study.

PloS one Feb 27, 2020
The purpose of this study was to identify germline single nucleotide polymorphisms (SNPs) that optimally predict radiation-associated contralateral breast cancer (RCBC) and to provide new biological insights into the carcinogenic process. Fifty-two w...
Adult Breast Neoplasms Case-Control Studies Genome-Wide Association Study Cohort Studies Humans Machine Learning Polymorphism, Single Nucleotide Female Genotype Risk Factors Cancer Survivors Young Adult Germ Cells Neoplasms, Radiation-Induced
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