AIMC Topic: Humans

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Coarse-Fine Convolutional Deep-Learning Strategy for Human Activity Recognition.

Sensors (Basel, Switzerland) Mar 31, 2019
In the last decade, deep learning techniques have further improved human activity recognition (HAR) performance on several benchmark datasets. This paper presents a novel framework to classify and analyze human activities. A new convolutional neural ...
Middle Aged Deep Learning Smartphone Walking Humans Young Adult Adult Human Activities Accelerometry Photography Sitting Position
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Heterologous Machine Learning for the Identification of Antimicrobial Activity in Human-Targeted Drugs.

Molecules (Basel, Switzerland) Mar 31, 2019
The emergence of microbes resistant to common antibiotics represent a current treat to human health. It has been recently recognized that non-antibiotic labeled drugs may promote antibiotic-resistance mechanisms in the human microbiome by presenting ...
Humans Machine Learning Anti-Infective Agents Drug Discovery Microbial Sensitivity Tests Bacteria Gastrointestinal Microbiome
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Adolescent binge drinking disrupts normal trajectories of brain functional organization and personality maturation.

NeuroImage. Clinical Mar 31, 2019
Adolescent binge drinking has been associated with higher risks for the development of many health problems throughout the lifespan. Adolescents undergo multiple changes that involve the co-development processes of brain, personality and behavior; th...
Adolescent Development Personality Development Male Adolescent Time Factors Female Humans Connectome Support Vector Machine Longitudinal Studies Young Adult Brain Underage Drinking Binge Drinking Magnetic Resonance Imaging Adult Impulsive Behavior Age of Onset
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Ultrafast (milliseconds), multidimensional RF pulse design with deep learning.

Magnetic resonance in medicine Mar 30, 2019
PURPOSE: Some advanced RF pulses, like multidimensional RF pulses, are often long and require substantial computation time because of a number of constraints and requirements, sometimes hampering clinical use. However, the pulses offer opportunities ...
Phantoms, Imaging Radio Waves Deep Learning Time Factors Magnetic Resonance Imaging Databases, Factual Male Humans
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Use of machine learning in predicting clinical response to transcranial magnetic stimulation in comorbid posttraumatic stress disorder and major depression: A resting state electroencephalography study.

Journal of affective disorders Mar 30, 2019
BACKGROUND: Repetitive transcranial magnetic stimulation (TMS) is clinically effective for major depressive disorder (MDD) and investigational for other conditions including posttraumatic stress disorder (PTSD). Understanding the mechanisms of TMS ac...
Humans Prefrontal Cortex Stress Disorders, Post-Traumatic Treatment Outcome Male Transcranial Magnetic Stimulation Electroencephalography Support Vector Machine Middle Aged Rhode Island Self Report Predictive Value of Tests Depressive Disorder, Major Comorbidity Machine Learning Female Sensitivity and Specificity
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Robot-assisted laparoscopic midureteral stricture repair and percutaneous stent placement in an infant.

Journal of pediatric urology Mar 30, 2019
Mid-ureteral strictures in infants are a rare cause of hydronephrosis. In this surgical technique video we demonstrate a repair of a mid-ureteral stricture using a robot- assisted laparoscopic approach to mobilize and excise the stricture using the a...
Laparoscopy Prosthesis Design Stents Male Ureter Prosthesis Implantation Humans Infant Ureteral Obstruction Robotics
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Effects of robotic rehabilitation on walking and balance in pediatric patients with hemiparetic cerebral palsy.

Gait & posture Mar 30, 2019
BACKGROUND: The most prominent characteristics of hemiparetic cerebral palsy (hCP) children are structural and functional asymmetries. These children have low walking speeds, endurance and poor balance. The robotic walking devices repeat and experien...
Child Health Services Child, Preschool Child Treatment Outcome Cerebral Palsy Walking Speed Robotics Exercise Therapy Prospective Studies Female Male Humans
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DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem.

Medical image analysis Mar 30, 2019
The purpose of this research was to implement a deep learning network to overcome two of the major bottlenecks in improved image reconstruction for clinical positron emission tomography (PET). These are the lack of an automated means for the optimiza...
Deep Learning Image Processing, Computer-Assisted Positron-Emission Tomography Image Enhancement Humans Neural Networks, Computer
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A deep learning method for prediction of three-dimensional dose distribution of helical tomotherapy.

Medical physics Mar 30, 2019
PURPOSE: To develop a deep learning method for prediction of three-dimensional (3D) voxel-by-voxel dose distributions of helical tomotherapy (HT).
Humans Tomography, X-Ray Computed Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Nasopharyngeal Neoplasms Deep Learning Image Processing, Computer-Assisted Organs at Risk
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Neural networks for automatic scoring of arthritis disease activity on ultrasound images.

RMD open Mar 30, 2019
BACKGROUND: The development of standardised methods for ultrasound (US) scanning and evaluation of synovitis activity by the OMERACT-EULAR Synovitis Scoring (OESS) system is a major step forward in the use of US in the diagnosis and monitoring of pat...
Ultrasonography Arthritis, Rheumatoid Ultrasonography, Doppler Severity of Illness Index Humans Arthritis Case-Control Studies Neural Networks, Computer Synovitis Deep Learning Artificial Intelligence
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