AIMC Topic: Humans
Showing 66921 to 66930 of 95995 articles
Development of an artificial intelligence system to classify pathology and clinical features on retinal fundus images.
Clinical & experimental ophthalmology
Nov 15, 2018
IMPORTANCE: Artificial intelligence (AI) algorithms are under development for use in diabetic retinopathy photo screening pathways. To be clinically acceptable, such systems must also be able to classify other fundus abnormalities and clinical featur...
Machine learning of brain gray matter differentiates sex in a large forensic sample.
Human brain mapping
Nov 15, 2018
Differences between males and females have been extensively documented in biological, psychological, and behavioral domains. Among these, sex differences in the rate and typology of antisocial behavior remains one of the most conspicuous and enduring...
Molecular structure regulation and enzyme cascade signal amplification strategy for upconversion ratiometric luminescent and colorimetric alkaline phosphatase detection.
Analytica chimica acta
Nov 15, 2018
Herein, molecular structure regulation and enzyme cascade signals amplification (MRECAmp) strategy was proposed to construct a novel upconversion ratiometric fluorescence and colorimetric dual-readout assay platform for highly sensitive and selective...
Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks.
Medical image analysis
Nov 15, 2018
Excellent image quality is a primary prerequisite for diagnostic non-invasive coronary CT angiography. Artifacts due to cardiac motion may interfere with detection and diagnosis of coronary artery disease and render subsequent treatment decisions mor...
Deep neural network for estimating low density lipoprotein cholesterol.
Clinica chimica acta; international journal of clinical chemistry
Nov 15, 2018
BACKGROUND: LDL cholesterol (LDL-C) has been mainly estimated using the Friedewald equation, and other equations have recently been developed to complement the Friedewald equation. The present study aims to employ a deep neural network (DNN) to impro...
Retinal image analytics detects white matter hyperintensities in healthy adults.
Annals of clinical and translational neurology
Nov 15, 2018
OBJECTIVE: We investigated whether an automatic retinal image analysis (ARIA) incorporating machine learning approach can identify asymptomatic older adults harboring high burden of white matter hyperintensities (WMH) using MRI as gold standard.
Multi-sequence myocardium segmentation with cross-constrained shape and neural network-based initialization.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Nov 15, 2018
For myocardial infarction (MI) patients, delayed enhancement (DE) and T2-weighted cardiovascular magnetic resonance imaging (CMR) can play significant roles in diagnosis, prognosis and therapeutic strategy evaluation. However, the non-rigid registrat...
Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Nov 15, 2018
OBJECTIVE: Automatic detection of epileptic seizures based on deep learning methods received much attention last year. However, the potential of deep neural networks in seizure detection has not been fully exploited in terms of the optimal design of ...
Blood Sugar Level Indication Through Chewing and Swallowing from Acoustic MEMS Sensor and Deep Learning Algorithm for Diabetic Management.
Journal of medical systems
Nov 15, 2018
Diabetes, a metabolic disorder due to high blood glycemic index in the human body. The glycemic index varies in the human of improper diet and eating pattern such as junk foods, variation in the quantity of food, swallowing of food without chewing an...
A Survey of the Techniques for The Identification and Classification of Human Actions from Visual Data.
Sensors (Basel, Switzerland)
Nov 15, 2018
Recognition of human actions form videos has been an active area of research because it has applications in various domains. The results of work in this field are used in video surveillance, automatic video labeling and human-computer interaction, am...
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