AIMC Topic: Humans

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Radiation Therapy Quality Assurance Tasks and Tools: The Many Roles of Machine Learning.

Medical physics Mar 4, 2019
The recent explosion in machine learning efforts in the quality assurance (QA) space has produced a variety of proofs-of-concept many with promising results. Expected outcomes of model implementation include improvements in planning time, plan qualit...
Safety Quality Assurance, Health Care Radiotherapy Humans Machine Learning
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Robot-assisted gait training is not superior to intensive overground walking in multiple sclerosis with severe disability (the RAGTIME study): A randomized controlled trial.

Multiple sclerosis (Houndmills, Basingstoke, England) Mar 4, 2019
BACKGROUND: Rehabilitation may attenuate the impact on mobility of patients with progressive multiple sclerosis (MS) and severe gait disabilities.
Adult Outcome Assessment, Health Care Male Walking Speed Middle Aged Gait Disorders, Neurologic Follow-Up Studies Multiple Sclerosis, Chronic Progressive Walking Robotics Humans Exercise Therapy Single-Blind Method Female
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Toward versatile cooperative surgical robotics: a review and future challenges.

International journal of computer assisted radiology and surgery Mar 4, 2019
PURPOSE: Surgical robotics has developed throughout the past 30 years resulting in more than 5000 different approaches proposed for various surgical disciplines supporting different surgical task sequences and differing ways of human-machine cooperat...
Humans Robotics Operating Rooms Robotic Surgical Procedures General Surgery
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Analysis of differentially expressed genes in rheumatoid arthritis and osteoarthritis by integrated microarray analysis.

Journal of cellular biochemistry Mar 4, 2019
BACKGROUND: Rheumatoid arthritis (RA) and osteoarthritis (OA) were two major types of joint diseases. This study aimed to explore the mechanism underlying OA and RA and analyze their difference by integrated analysis of multiple gene expression data ...
Synovial Membrane Osteoarthritis Gene Expression Regulation Chemokines Ubiquitin-Protein Ligases Humans Gene Regulatory Networks Arthritis, Rheumatoid Gene Ontology Signal Transduction Gene Expression Profiling Oxidative Phosphorylation Oligonucleotide Array Sequence Analysis Protein Interaction Maps Inhibitor of Apoptosis Proteins
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New perspectives about the role of robot-assisted surgery for the treatment of endometriosis.

Journal of robotic surgery Mar 4, 2019
Humans Female Quality of Life Endometriosis Robotics Laparoscopy Robotic Surgical Procedures
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Feasibility of simple machine learning approaches to support detection of non-glaucomatous visual fields in future automated glaucoma clinics.

Eye (London, England) Mar 4, 2019
OBJECTIVES: To assess the performance of feed-forward back-propagation artificial neural networks (ANNs) in detecting field defects caused by pituitary disease from among a glaucomatous population.
Neural Networks, Computer Glaucoma Machine Learning Feasibility Studies Visual Fields Humans Visual Field Tests
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Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning.

Nature biomedical engineering Mar 4, 2019
The histological analysis of tissue samples, widely used for disease diagnosis, involves lengthy and laborious tissue preparation. Here, we show that a convolutional neural network trained using a generative adversarial-network model can transform wi...
Melanins Deep Learning Algorithms Humans Image Processing, Computer-Assisted Staining and Labeling Lung Neural Networks, Computer Liver Fluorescence Reference Standards
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Speech synthesis from ECoG using densely connected 3D convolutional neural networks.

Journal of neural engineering Mar 4, 2019
OBJECTIVE: Direct synthesis of speech from neural signals could provide a fast and natural way of communication to people with neurological diseases. Invasively-measured brain activity (electrocorticography; ECoG) supplies the necessary temporal and ...
Electrocorticography Communication Devices for People with Disabilities Speech Cerebral Cortex Photic Stimulation Humans Neural Networks, Computer
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Feature extraction using traditional image processing and convolutional neural network methods to classify white blood cells: a study.

Australasian physical & engineering sciences in medicine Mar 4, 2019
White blood cells play a vital role in monitoring health condition of a person. Change in count and/or appearance of these cells indicate hematological disorders. Manual microscopic evaluation of white blood cells is the gold standard method, but the...
Image Processing, Computer-Assisted Leukocytes Humans Neural Networks, Computer Algorithms
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Applications of machine learning in addiction studies: A systematic review.

Psychiatry research Mar 4, 2019
This study aims to provide a systematic review of the applications of machine learning methods in addiction research. In this study, multiple searches on MEDLINE, Embase and the Cochrane Database of Systematic Reviews were performed. 23 full-text art...
Machine Learning Algorithms Cross-Sectional Studies Behavior, Addictive Humans Substance-Related Disorders Gambling Cross-Over Studies Smoking
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