AIMC Topic: Humans

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Machine Learning and Prediction of All-Cause Mortality in COPD.

Chest Apr 27, 2020
BACKGROUND: COPD is a leading cause of mortality.
Predictive Value of Tests Cause of Death Humans Respiratory Function Tests Machine Learning Female Pulmonary Disease, Chronic Obstructive Male Middle Aged
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Homecare Robotic Systems for Healthcare 4.0: Visions and Enabling Technologies.

IEEE journal of biomedical and health informatics Apr 27, 2020
Powered by the technologies that have originated from manufacturing, the fourth revolution of healthcare technologies is happening (Healthcare 4.0). As an example of such revolution, new generation homecare robotic systems (HRS) based on the cyber-ph...
Robotic Surgical Procedures Cloud Computing Humans Artificial Intelligence Delivery of Health Care
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Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT.

Radiology Apr 27, 2020
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share similar CT characteristics, which contributes to the challenges in differentiating them with high accuracy. Purpose To establish and evaluate an artificial intellige...
Pneumonia Radiologists Coronavirus Infections Radiography, Thoracic Child, Preschool Child Diagnosis, Differential Philadelphia Rhode Island Betacoronavirus Pneumonia, Viral Sensitivity and Specificity Male Middle Aged Infant Lung China Adolescent Aged Aged, 80 and over Young Adult Adult Female Infant, Newborn SARS-CoV-2 Humans Artificial Intelligence Pandemics COVID-19 Retrospective Studies Tomography, X-Ray Computed
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Rape narratives analysis through natural language processing: Survivor self-label, narrative time span, faith, and rape terminology.

Psychological trauma : theory, research, practice and policy Apr 27, 2020
OBJECTIVE: Rape-survivor identity is a sign of recovery and positive therapeutic progress among rape victims. This study is one of the few to focus on factors predicting self-labeling as a survivor among self-acknowledged rape victims by evaluating t...
Humans Female Aged Young Adult Child Data Mining Narration Survivors Natural Language Processing Adult Crime Victims Rape Self Concept Middle Aged Adolescent
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Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides.

European urology Apr 27, 2020
BACKGROUND: Muscle-invasive bladder cancer (MIBC) is the second most common genitourinary malignancy, and is associated with high morbidity and mortality. Recently, molecular subtypes of MIBC have been identified, which have important clinical implic...
Forecasting Humans Urinary Bladder Neoplasms Deep Learning Neoplasm Invasiveness Molecular Diagnostic Techniques
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A difficult case of robotic splenic-flexure mobilization, performed by a trainee surgeon with a dual Davinci console.

Techniques in coloproctology Apr 27, 2020
Surgeons Robotics Laparoscopy Robotic Surgical Procedures Colon, Transverse Humans
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Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 27, 2020
We propose a fully automated algorithm based on a deep learning framework enabling screening of a coronary computed tomography angiography (CCTA) examination for confident detection of the presence or absence of coronary artery atherosclerosis. The s...
Coronary Angiography Coronary Artery Disease Humans Computed Tomography Angiography Neural Networks, Computer Imaging, Three-Dimensional
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A multi-scale variational neural network for accelerating motion-compensated whole-heart 3D coronary MR angiography.

Magnetic resonance imaging Apr 27, 2020
PURPOSE: To enable fast reconstruction of undersampled motion-compensated whole-heart 3D coronary magnetic resonance angiography (CMRA) by learning a multi-scale variational neural network (MS-VNN) which allows the acquisition of high-quality 1.2 × 1...
Male Humans Movement Imaging, Three-Dimensional Neural Networks, Computer Coronary Vessels Coronary Angiography Female Heart Respiration Reproducibility of Results Magnetic Resonance Angiography Adult
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Deep learning in congenital heart disease imaging: hope but not haste.

Heart (British Cardiac Society) Apr 27, 2020
Humans Prognosis Deep Learning Heart Defects, Congenital Image Processing, Computer-Assisted Tetralogy of Fallot
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Classification of COVID-19 patients from chest CT images using multi-objective differential evolution-based convolutional neural networks.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology Apr 27, 2020
Early classification of 2019 novel coronavirus disease (COVID-19) is essential for disease cure and control. Compared with reverse-transcription polymerase chain reaction (RT-PCR), chest computed tomography (CT) imaging may be a significantly more tr...
Sensitivity and Specificity Lung Deep Learning Reverse Transcriptase Polymerase Chain Reaction Humans COVID-19 Neural Networks, Computer Tomography, X-Ray Computed False Positive Reactions Coronavirus Infections Pandemics SARS-CoV-2 Clinical Laboratory Techniques COVID-19 Testing Betacoronavirus Image Interpretation, Computer-Assisted Pneumonia, Viral False Negative Reactions
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