AIMC Topic: Young Adult

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Job interview training targeting nonverbal communication using an android robot for individuals with autism spectrum disorder.

Autism : the international journal of research and practice Feb 22, 2019
Job interviews are significant barriers for individuals with autism spectrum disorder because these individuals lack good nonverbal communication skills. We developed a job interview training program using an android robot. The job interview training...
Saliva Job Application Formative Feedback Social Skills Nonverbal Communication Adolescent Stress, Psychological Robotics Hydrocortisone Autism Spectrum Disorder Female Young Adult Adult Humans Male
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A novel machine-learning-based infection screening system via 2013-2017 seasonal influenza patients' vital signs as training datasets.

The Journal of infection Feb 22, 2019
Middle Aged Adolescent Child Mass Screening Predictive Value of Tests Humans Young Adult Machine Learning Adult Influenza, Human Female Sensitivity and Specificity Vital Signs Aged Male Clinical Decision Rules Aged, 80 and over
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Modelling PTSD diagnosis using sleep, memory, and adrenergic metabolites: An exploratory machine-learning study.

Human psychopharmacology Feb 22, 2019
OBJECTIVE: Features of posttraumatic stress disorder (PTSD) typically include sleep disturbances, impaired declarative memory, and hyperarousal. This study evaluated whether these combined features may accurately delineate pathophysiological changes ...
Cross-Sectional Studies Cohort Studies Stress Disorders, Post-Traumatic Norepinephrine Sleep Memory Disorders Epinephrine Memory Sleep Wake Disorders Humans Machine Learning Female Young Adult Adult
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Use of a robotic camera holder (FreeHand) for laparoscopic appendicectomy.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy Feb 21, 2019
Use of a mechanical arm to hold the laparoscopic camera has many advantages. FreeHand (FreeHand Ltd, Guildford, United Kingdom) is a robotic camera holder which uses head movement and infrared technology. This trial assessed the usefulness of FreeHa...
Surgeons Middle Aged Adolescent Cohort Studies Child Aged Young Adult Adult Male Robotics Laparoscopy Appendectomy Humans Prospective Studies Female
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The Classification of Minor Gait Alterations Using Wearable Sensors and Deep Learning.

IEEE transactions on bio-medical engineering Feb 21, 2019
OBJECTIVE: This paper describes how non-invasive wearable sensors can be used in combination with deep learning to classify artificially induced gait alterations without the requirement for a medical professional or gait analyst to be present. This a...
Humans Young Adult Adult Deep Learning Wearable Electronic Devices Pressure Equipment Design Gait Analysis Signal Processing, Computer-Assisted Foot Walking Shoes Gait
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How to make nonhumanoid mobile robots more likable: Employing kinesic courtesy cues to promote appreciation.

Applied ergonomics Feb 21, 2019
Service robots that mimic human social behavior can appear polite. We tested the social and behavioral efficacy and legibility of two kinesic courtesy cues on people's approval of a service robot. In a repeated-measures design, 29 volunteers were ran...
Cues Random Allocation Social Behavior Humans Male Kinesics Female Middle Aged Young Adult Robotics Adult Motion
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A deep learning approach for real-time detection of sleep spindles.

Journal of neural engineering Feb 21, 2019
OBJECTIVE: Sleep spindles have been implicated in memory consolidation and synaptic plasticity during NREM sleep. Detection accuracy and latency in automatic spindle detection are critical for real-time applications.
Middle Aged Deep Learning Adolescent Computer Systems Cohort Studies Sleep Stages Aged Young Adult Adult Male Humans Neural Networks, Computer Databases, Factual Female
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Explaining the unique nature of individual gait patterns with deep learning.

Scientific reports Feb 20, 2019
Machine learning (ML) techniques such as (deep) artificial neural networks (DNN) are solving very successfully a plethora of tasks and provide new predictive models for complex physical, chemical, biological and social systems. However, in most cases...
Female Young Adult Adult Biomechanical Phenomena Male Humans Deep Learning Gait Healthy Volunteers
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Potential of a machine-learning model for dose optimization in CT quality assurance.

European radiology Feb 19, 2019
OBJECTIVES: To evaluate machine learning (ML) to detect chest CT examinations with dose optimization potential for quality assurance in a retrospective, cross-sectional study.
Multidetector Computed Tomography Radiation Injuries Thoracic Diseases Young Adult Middle Aged Humans Machine Learning Adult Adolescent Retrospective Studies Cross-Sectional Studies Quality Assurance, Health Care Female Radiation Dosage Male Aged Radiography, Thoracic Aged, 80 and over
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EEG-based mild depression recognition using convolutional neural network.

Medical & biological engineering & computing Feb 19, 2019
Electroencephalography (EEG)-based studies focus on depression recognition using data mining methods, while those on mild depression are yet in infancy, especially in effective monitoring and quantitative measure aspects. Aiming at mild depression re...
Neural Networks, Computer Algorithms Female Young Adult Male Humans Time Factors Image Processing, Computer-Assisted Emotions Electroencephalography Electrodes Case-Control Studies Diagnosis, Computer-Assisted Depression Adolescent
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