AIMC Topic: Humans

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Convolutional Neural Network-Based Automated Segmentation of the Spinal Cord and Contusion Injury: Deep Learning Biomarker Correlates of Motor Impairment in Acute Spinal Cord Injury.

AJNR. American journal of neuroradiology Mar 28, 2019
BACKGROUND AND PURPOSE: Our aim was to use 2D convolutional neural networks for automatic segmentation of the spinal cord and traumatic contusion injury from axial T2-weighted MR imaging in a cohort of patients with acute spinal cord injury.
Image Processing, Computer-Assisted Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Spinal Cord Injuries Female Male Deep Learning Motor Disorders Contusions Humans
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Automation and artificial intelligence in the clinical laboratory.

Critical reviews in clinical laboratory sciences Mar 28, 2019
The daily operation of clinical laboratories will be drastically impacted by two disruptive technologies: automation and artificial intelligence (the development and use of computer systems able to perform tasks that normally require human intelligen...
Artificial Intelligence Automation, Laboratory Clinical Laboratory Services Humans
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Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning.

The European respiratory journal Mar 28, 2019
Epidermal growth factor receptor (EGFR) genotyping is critical for treatment guidelines such as the use of tyrosine kinase inhibitors in lung adenocarcinoma. Conventional identification of EGFR genotype requires biopsy and sequence testing which is i...
Neural Networks, Computer Aged Retrospective Studies Male Neoplasm Staging Humans Tomography, X-Ray Computed Middle Aged Mutation ROC Curve Female Deep Learning ErbB Receptors Image Processing, Computer-Assisted Reproducibility of Results Computational Biology Adenocarcinoma of Lung
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CytoProcessorTM: A New Cervical Cancer Screening System for Remote Diagnosis.

Acta cytologica Mar 28, 2019
BACKGROUND: Current automated cervical cytology screening systems still heavily depend on manipulation of glass slides. We developed a new system called CytoProcessorTM (DATEXIM, Caen, France), which increases sensitivity and takes advantage of virtu...
Uterine Cervical Neoplasms Middle Aged Cytodiagnosis Female Young Adult Adolescent Aged Humans Adult Papanicolaou Test Sensitivity and Specificity Artificial Intelligence Mass Screening Early Detection of Cancer
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Machine learning for patient risk stratification for acute respiratory distress syndrome.

PloS one Mar 28, 2019
BACKGROUND: Existing prediction models for acute respiratory distress syndrome (ARDS) require manual chart abstraction and have only fair performance-limiting their suitability for driving clinical interventions. We sought to develop a machine learni...
Risk Assessment Respiratory Distress Syndrome Models, Statistical Aged Male Middle Aged Humans Machine Learning Female
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An Adolescent with Progressive Enlargement of Digits: Case report and proposed diagnostic criteria for macrodystrophia lipomatosa.

Sultan Qaboos University medical journal Mar 28, 2019
Macrodystrophia lipomatosa (ML) is a rare congenital non-hereditary condition caused by an increase in all mesenchymal elements. We report a 14-year-old girl who presented to the Medical Outpatient Department, Kunhitharuvai Memorial Charitable Trust ...
Radiography India Fingers Humans Magnetic Resonance Imaging Female Gigantism Adolescent Diagnosis, Differential
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Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition.

IEEE transactions on cybernetics Mar 27, 2019
Electroencephalogram (EEG) has been widely used in emotion recognition due to its high temporal resolution and reliability. Since the individual differences of EEG are large, the emotion recognition models could not be shared across persons, and we n...
Humans Pattern Recognition, Automated Young Adult Brain-Computer Interfaces Emotions Machine Learning Adult Electroencephalography Brain
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Falls Risk Classification of Older Adults Using Deep Neural Networks and Transfer Learning.

IEEE journal of biomedical and health informatics Mar 27, 2019
Prior research in falls risk classification using inertial sensors has relied on the use of engineered features, which has resulted in a feature space containing hundreds of features that are likely redundant and possibly irrelevant. In this paper, w...
Smartphone Signal Processing, Computer-Assisted Accelerometry Young Adult Adult Male Neural Networks, Computer Aged Humans Adolescent Female Aged, 80 and over ROC Curve Middle Aged Accidental Falls
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Intelligent Labeling Based on Fisher Information for Medical Image Segmentation Using Deep Learning.

IEEE transactions on medical imaging Mar 27, 2019
Deep convolutional neural networks (CNN) have recently achieved superior performance at the task of medical image segmentation compared to classic models. However, training a generalizable CNN requires a large amount of training data, which is diffic...
Infant, Newborn Infant Deep Learning Magnetic Resonance Imaging Child, Preschool Humans Image Processing, Computer-Assisted Algorithms Brain
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Development of a machine learning algorithm predicting discharge placement after surgery for spondylolisthesis.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Mar 27, 2019
PURPOSE: We aimed to develop a machine learning algorithm that can accurately predict discharge placement in patients undergoing elective surgery for degenerative spondylolisthesis.
Humans Middle Aged Female Machine Learning Models, Statistical Spondylolisthesis Aged Algorithms Patient Discharge Male Databases, Factual
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