AIMC Topic: Humans
Showing 66831 to 66840 of 95995 articles
Comparison of Muscular Activity and Movement Performance in Robot-Assisted and Freely Performed Exercises.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Nov 23, 2018
End-effector-based robotic systems are, in particular, suitable for extending physical therapy in stroke rehabilitation. An adequate therapy and thus the recovery of movement can only be guaranteed if the physiological muscular activation and movemen...
A feasibility study on an automated method to generate patient-specific dose distributions for radiotherapy using deep learning.
Medical physics
Nov 23, 2018
PURPOSE: To develop a method for predicting optimal dose distributions, given the planning image and segmented anatomy, by applying deep learning techniques to a database of previously optimized and approved Intensity-modulated radiation therapy trea...
Dual Convolutional Neural Network Based Method for Predicting Disease-Related miRNAs.
International journal of molecular sciences
Nov 23, 2018
Identification of disease-related microRNAs (disease miRNAs) is helpful for understanding and exploring the etiology and pathogenesis of diseases. Most of recent methods predict disease miRNAs by integrating the similarities and associations of miRNA...
Identifying Brain Networks at Multiple Time Scales via Deep Recurrent Neural Network.
IEEE journal of biomedical and health informatics
Nov 22, 2018
For decades, task functional magnetic resonance imaging has been a powerful noninvasive tool to explore the organizational architecture of human brain function. Researchers have developed a variety of brain network analysis methods for task fMRI data...
Artificial intelligence in sports medicine radiology: what's coming?
British journal of sports medicine
Nov 22, 2018
DeepSeeNet: A Deep Learning Model for Automated Classification of Patient-based Age-related Macular Degeneration Severity from Color Fundus Photographs.
Ophthalmology
Nov 22, 2018
PURPOSE: In assessing the severity of age-related macular degeneration (AMD), the Age-Related Eye Disease Study (AREDS) Simplified Severity Scale predicts the risk of progression to late AMD. However, its manual use requires the time-consuming partic...
Models, Theoretical
Area Under Curve
Diagnostic Techniques, Ophthalmological
Photography
Retinal Drusen
Geographic Atrophy
Severity of Illness Index
Diagnosis, Computer-Assisted
Deep Learning
Male
Middle Aged
Disease Progression
Prospective Studies
Humans
Female
Aged, 80 and over
Reproducibility of Results
Sensitivity and Specificity
Risk Factors
Aged
Effectiveness of robotics in improving upper extremity functions among people with neurological dysfunction: a systematic review.
The International journal of neuroscience
Nov 22, 2018
PURPOSE: The primary focus of this review was to find out the effectiveness of robotics in improving upper extremity functions among people with neurological problems in the arena of physical rehabilitation.
(1)
Artificial intelligence in drug development: present status and future prospects.
Drug discovery today
Nov 22, 2018
Artificial intelligence (AI) uses personified knowledge and learns from the solutions it produces to address not only specific but also complex problems. Remarkable improvements in computational power coupled with advancements in AI technology could ...
Supervised machine learning quality control for magnetic resonance artifacts in neonatal data sets.
Human brain mapping
Nov 22, 2018
Quality control (QC) of brain magnetic resonance images (MRI) is an important process requiring a significant amount of manual inspection. Major artifacts, such as severe subject motion, are easy to identify to naïve observers but lack automated iden...
Computer knows best? The need for value-flexibility in medical AI.
Journal of medical ethics
Nov 22, 2018
Artificial intelligence (AI) is increasingly being developed for use in medicine, including for diagnosis and in treatment decision making. The use of AI in medical treatment raises many ethical issues that are yet to be explored in depth by bioethic...
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