AIMC Topic: Humans

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Impact of pre-analytical variables on deep learning accuracy in histopathology.

Histopathology May 16, 2019
AIMS: Machine learning (ML) binary classification in diagnostic histopathology is an area of intense investigation. Several assumptions, including training image quality/format and the number of training images required, appear to be similar in many ...
Humans Neural Networks, Computer Machine Learning Image Interpretation, Computer-Assisted Histological Techniques Pathology, Clinical Histology Female Male Diagnosis, Computer-Assisted Deep Learning
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Design of Natural-Product-Inspired Multitarget Ligands by Machine Learning.

ChemMedChem May 16, 2019
A virtual screening protocol based on machine learning models was used to identify mimetics of the natural product (-)-galantamine. This fully automated approach identified eight compounds with bioactivities on at least one of the macromolecular targ...
Stereoisomerism Acetylcholinesterase Cholinesterase Inhibitors Galantamine Cell Line, Tumor Neuroprotective Agents Biological Products Molecular Structure Drug Evaluation, Preclinical Alzheimer Disease Ligands Humans Machine Learning Molecular Docking Simulation Drug Design
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Biomedical Image Processing with Containers and Deep Learning: An Automated Analysis Pipeline: Data architecture, artificial intelligence, automated processing, containerization, and clusters orchestration ease the transition from data acquisition to insights in medium-to-large datasets.

BioEssays : news and reviews in molecular, cellular and developmental biology May 16, 2019
Here, a streamlined, scalable, laboratory approach is discussed that enables medium-to-large dataset analysis. The presented approach combines data management, artificial intelligence, containerization, cluster orchestration, and quality control in a...
Image Processing, Computer-Assisted Gold Data Analysis Leukocytes, Mononuclear Metal Nanoparticles Deep Learning Humans Microscopy Information Storage and Retrieval Electronic Data Processing Database Management Systems
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Evaluation of Diffusion Lesion Volume Measurements in Acute Ischemic Stroke Using Encoder-Decoder Convolutional Network.

Stroke May 16, 2019
Background and Purpose- Automatic segmentation of cerebral infarction on diffusion-weighted imaging (DWI) is typically performed based on a fixed apparent diffusion coefficient (ADC) threshold. Fixed ADC threshold methods may not be accurate because ...
Registries Stroke Cerebral Infarction Diffusion Magnetic Resonance Imaging Aged Male Middle Aged Humans Neural Networks, Computer Software Female
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Artificial Neural Network Computer Tomography Perfusion Prediction of Ischemic Core.

Stroke May 16, 2019
Background and Purpose- Computed tomography perfusion (CTP) is a useful tool in the evaluation of acute ischemic stroke, where it can provide an estimate of the ischemic core and the ischemic penumbra. The optimal CTP parameters to identify the ische...
Female Aged Male Middle Aged Humans Neural Networks, Computer Prospective Studies Tomography, X-Ray Computed Stroke Brain Ischemia Diffusion Magnetic Resonance Imaging
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Machine learning for prediction of sudden cardiac death in heart failure patients with low left ventricular ejection fraction: study protocol for a retroprospective multicentre registry in China.

BMJ open May 16, 2019
INTRODUCTION: Left ventricular ejection fraction (LVEF) ≤35%, as current significant implantable cardioverter-defibrillator (ICD) indication for primary prevention of sudden cardiac death (SCD) in heart failure (HF) patients, has been widely recognis...
Ventricular Function, Left Stroke Volume Machine Learning Registries Research Design Humans China Heart Failure Prospective Studies Multicenter Studies as Topic Death, Sudden, Cardiac Retrospective Studies
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A Deep Learning Approach for Assessment of Regional Wall Motion Abnormality From Echocardiographic Images.

JACC. Cardiovascular imaging May 15, 2019
OBJECTIVES: This study investigated whether a deep convolutional neural network (DCNN) could provide improved detection of regional wall motion abnormalities (RWMAs) and differentiate among groups of coronary infarction territories from conventional ...
Image Interpretation, Computer-Assisted Observer Variation Reproducibility of Results Humans Ventricular Function, Left Diagnosis, Computer-Assisted Aged Retrospective Studies Echocardiography Deep Learning Aged, 80 and over Female Middle Aged Predictive Value of Tests Male Myocardial Infarction
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(Deep) Learning Your Left From Your Right.

JACC. Cardiovascular imaging May 15, 2019
Echocardiography Deep Learning Myocardial Contraction Humans
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Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa.

Magnetic resonance imaging May 15, 2019
PURPOSE: To evaluate whether a machine learning (ML) analysis employing MRI-derived texture analysis (TA) features could be useful in assessing the presence of placenta accreta spectrum (PAS) in patients with placenta previa (PP). The hypothesis is t...
Sensitivity and Specificity Humans Magnetic Resonance Imaging Predictive Value of Tests Bayes Theorem Placenta Pregnancy Image Interpretation, Computer-Assisted Female Prenatal Diagnosis Reproducibility of Results Adult Machine Learning Algorithms Placenta Accreta Retrospective Studies Placenta Previa
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Machine learning prediction of nanoparticle in vitro toxicity: A comparative study of classifiers and ensemble-classifiers using the Copeland Index.

Toxicology letters May 15, 2019
Nano-Particles (NPs) are well established as important components across a broad range of products from cosmetics to electronics. Their utilization is increasing with their significant economic and societal potential yet to be fully realized. Inroads...
Humans Neural Networks, Computer Nanoparticles Machine Learning Models, Theoretical Algorithms Bayes Theorem Databases, Factual
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