AIMC Topic: Humans

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Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text.

BMC medical informatics and decision making Jan 31, 2019
BACKGROUND: Extracting relations between important clinical entities is critical but very challenging for natural language processing (NLP) in the medical domain. Researchers have applied deep learning-based approaches to clinical relation extraction...
Electronic Health Records Deep Learning Natural Language Processing Medical Informatics Applications Humans
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Automatic Tissue Image Segmentation Based on Image Processing and Deep Learning.

Journal of healthcare engineering Jan 31, 2019
Image segmentation plays an important role in multimodality imaging, especially in fusion structural images offered by CT, MRI with functional images collected by optical technologies, or other novel imaging technologies. In addition, image segmentat...
White Matter Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Algorithms Adult Head Male Gray Matter Deep Learning
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Automated Segmentation of Colorectal Tumor in 3D MRI Using 3D Multiscale Densely Connected Convolutional Neural Network.

Journal of healthcare engineering Jan 31, 2019
The main goal of this work is to automatically segment colorectal tumors in 3D T2-weighted (T2w) MRI with reasonable accuracy. For such a purpose, a novel deep learning-based algorithm suited for volumetric colorectal tumor segmentation is proposed. ...
Humans Neural Networks, Computer Algorithms Colorectal Neoplasms Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Intestine, Large Contrast Media Magnetic Resonance Imaging False Positive Reactions
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Automatic real-time gait event detection in children using deep neural networks.

PloS one Jan 31, 2019
Annotation of foot-contact and foot-off events is the initial step in post-processing for most quantitative gait analysis workflows. If clean force plate strikes are present, the events can be automatically detected. Otherwise, annotation of gait eve...
(1)
Adolescent Child, Preschool Child Gait Adult Biomechanical Phenomena Male Cerebral Palsy Nervous System Diseases Developmental Disabilities Foot Humans Neural Networks, Computer Algorithms Female Young Adult
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Correlating exhaled aerosol images to small airway obstructive diseases: A study with dynamic mode decomposition and machine learning.

PloS one Jan 31, 2019
BACKGROUND: Exhaled aerosols from lungs have unique patterns, and their variation can be correlated to the underlying lung structure and associated abnormities. However, it is challenging to characterize such aerosol patterns and differentiate their ...
(2)
Humans Machine Learning Algorithms Prognosis Breath Tests Image Processing, Computer-Assisted Exhalation Support Vector Machine Lung Diseases, Obstructive Principal Component Analysis Aerosols Tomography, X-Ray Computed Male Middle Aged
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Synthesis of chitosan nanoparticles, chitosan-bulk, chitosan nanoparticles conjugated with glutaraldehyde with strong anti-cancer proliferative capabilities.

Artificial cells, nanomedicine, and biotechnology Jan 31, 2019
In recent years, natural and synthetic polymers have attracted much attention due to their great potentials in medical science. In the present study, we have investigated the effect of chitosan-bulk (Ch-bulk), chitosan nanoparticles (ChNP), chitosan ...
Glutaral Nanoparticles Humans Chitosan Colorectal Neoplasms Drug Carriers Antineoplastic Agents HCT116 Cells
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Natural Language Processing-Identified Problem Opioid Use and Its Associated Health Care Costs.

Journal of pain & palliative care pharmacotherapy Jan 31, 2019
Use of prescription opioids and problems of abuse and addiction have increased over the past decade. Claims-based studies have documented substantial economic burden of opioid abuse. This study utilized electronic health record (EHR) data to identify...
Adolescent Female Humans United States Natural Language Processing Aged Health Care Costs Male Longitudinal Studies Retrospective Studies Analgesics, Opioid Young Adult Middle Aged Cost of Illness Follow-Up Studies Electronic Health Records Medicare Adult Case-Control Studies Opioid-Related Disorders
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Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis.

Academic radiology Jan 30, 2019
RATIONALE AND OBJECTIVES: To use machine learning-based magnetic resonance imaging radiomics to predict metachronous liver metastases (MLM) in patients with rectal cancer.
Rectum Female Rectal Neoplasms Male Neoplasm Metastasis Middle Aged ROC Curve Humans Liver Neoplasms Algorithms Adenocarcinoma Retrospective Studies Support Vector Machine Magnetic Resonance Imaging
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Analysis of Endonasal Endoscopic Transsphenoidal (EET) surgery pathway and workspace for path guiding robot design.

Asian journal of surgery Jan 30, 2019
BACKGROUND: Endoscopic Endonasal Transsphenoidal Surgery (EETS) is the standard method to treat pituitary adenoma, tumor in the pituitary gland which would affect human beings in terms of hormonal malfunction and other symptoms. This procedure provid...
Equipment Design Robotic Surgical Procedures Neurosurgical Procedures Humans Pituitary Neoplasms Adenoma Robotics
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Water-fat separation and parameter mapping in cardiac MRI via deep learning with a convolutional neural network.

Journal of magnetic resonance imaging : JMRI Jan 30, 2019
BACKGROUND: Water-fat separation is a postprocessing technique most commonly applied to multiple-gradient-echo magnetic resonance (MR) images to identify fat, provide images with fat suppression, and to measure fat tissue concentration. Recently, Num...
Water Magnetic Resonance Imaging Adipose Tissue Heart Middle Aged Severity of Illness Index Deep Learning Humans Feasibility Studies Myocardial Infarction Neural Networks, Computer Image Interpretation, Computer-Assisted Retrospective Studies Female Male
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