AIMC Topic: Humans

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Boosting robot-assisted rehabilitation of stroke hemiparesis by individualized selection of upper limb movements - a pilot study.

Journal of neuroengineering and rehabilitation Mar 20, 2019
BACKGROUND: Intensive robot-assisted training of the upper limb after stroke can reduce motor impairment, even at the chronic stage. However, the effectiveness of practice for recovery depends on the selection of the practised movements. We hypothesi...
Physical Therapy Modalities Stroke Rehabilitation Movement Paresis Upper Extremity Middle Aged Pilot Projects Robotics Humans Female Adult Male Aged Young Adult
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CNNs for automatic glaucoma assessment using fundus images: an extensive validation.

Biomedical engineering online Mar 20, 2019
BACKGROUND: Most current algorithms for automatic glaucoma assessment using fundus images rely on handcrafted features based on segmentation, which are affected by the performance of the chosen segmentation method and the extracted features. Among ot...
Time Factors Image Processing, Computer-Assisted Fundus Oculi Humans Neural Networks, Computer Glaucoma Databases, Factual
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PMAMCA: prediction of microRNA-disease association utilizing a matrix completion approach.

BMC systems biology Mar 20, 2019
BACKGROUND: Numerous experimental results have indicated that microRNAs (miRNAs) play a vital role in biological processes, as well as outbreaks of diseases at the molecular level. Despite their important role in biological processes, knowledge regar...
Humans Machine Learning Computational Biology Databases, Genetic MicroRNAs Disease
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Artificial Intelligence and the Future of Primary Care: Exploratory Qualitative Study of UK General Practitioners' Views.

Journal of medical Internet research Mar 20, 2019
BACKGROUND: The potential for machine learning to disrupt the medical profession is the subject of ongoing debate within biomedical informatics and related fields.
Humans Artificial Intelligence Female Male Primary Health Care United Kingdom Middle Aged General Practitioners Qualitative Research Surveys and Questionnaires
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Minimalistic Approach to Coreference Resolution in Lithuanian Medical Records.

Computational and mathematical methods in medicine Mar 20, 2019
Coreference resolution is a challenging part of natural language processing (NLP) with applications in machine translation, semantic search and other information retrieval, and decision support systems. Coreference resolution requires linguistic prep...
Lithuania Pattern Recognition, Automated Electronic Health Records Humans Mathematical Computing Language Machine Learning Linguistics Computational Biology Natural Language Processing Algorithms Data Mining Semantics
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Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks.

IEEE transactions on medical imaging Mar 19, 2019
Chromosome classification is critical for karyotyping in abnormality diagnosis. To expedite the diagnosis, we present a novel method named Varifocal-Net for simultaneous classification of chromosome's type and polarity using deep convolutional networ...
Algorithms Female Male Supervised Machine Learning Image Interpretation, Computer-Assisted Chromosomes Humans Neural Networks, Computer Chromosome Disorders Karyotyping
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Unsupervised domain adaptation for medical imaging segmentation with self-ensembling.

NeuroImage Mar 19, 2019
Recent advances in deep learning methods have redefined the state-of-the-art for many medical imaging applications, surpassing previous approaches and sometimes even competing with human judgment in several tasks. Those models, however, when trained ...
Diagnostic Imaging Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Unsupervised Machine Learning
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Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network.

Japanese journal of radiology Mar 19, 2019
PURPOSE: We aimed to use deep learning with convolutional neural network (CNN) to discriminate between benign and malignant breast mass images from ultrasound.
Adult Sensitivity and Specificity Breast Neoplasms Humans Aged Neural Networks, Computer Aged, 80 and over Databases, Factual Young Adult Retrospective Studies Middle Aged Female Diagnosis, Differential Breast Deep Learning Reproducibility of Results Ultrasonography, Mammary Image Interpretation, Computer-Assisted ROC Curve
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Prediction of fetal state from the cardiotocogram recordings using neural network models.

Artificial intelligence in medicine Mar 19, 2019
The combination of machine vision and soft computing approaches in the clinical decisions, using training data, can improve medical decisions and treatments. The cardiotocography (CTG) monitoring and uterine activity (UA) provides useful information ...
Artificial Intelligence Pregnancy Female Humans Neural Networks, Computer Deep Learning Uterine Contraction Fuzzy Logic Cardiotocography
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A multi-scale data fusion framework for bone age assessment with convolutional neural networks.

Computers in biology and medicine Mar 19, 2019
Bone age assessment (BAA) has various clinical applications such as diagnosis of endocrine disorders and prediction of final adult height for adolescents. Recent studies indicate that deep learning techniques have great potential in developing automa...
Age Determination by Skeleton Adolescent Image Interpretation, Computer-Assisted Absorptiometry, Photon Adult Humans Deep Learning
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