Latest AI and machine learning research in surveys for healthcare professionals.
Large-scale, sometimes nationwide, prospective genomic cohorts biobanking rich biological specimens ...
OBJECTIVES: To determine the accuracy of, and agreement among, EEG and aEEG readers' estimation of m...
The classification performance of the statistical methods binary logistic regression (BLR), multinom...
Background Pharmacokinetic (PK) parameters obtained from dynamic contrast agent-enhanced (DCE) MRI e...
Robot-measured kinematic variables are increasingly used in neurorehabilitation to characterize moto...
Cancer is a fatal illness often caused by genetic disorder aggregation and a variety of pathological...
Deep learning (DL) has achieved state-of-the-art performance in many digital pathology analysis task...
Food consumption patterns have undergone changes that in recent years have resulted in serious healt...
In this work, performance of wavelet neural network (WNN) and adaptive neuro-fuzzy inference system ...
OBJECTIVES: To examine the inter-rater reliability of the thumb localizing test (TLT) and its validi...
This work presents a machine learning algorithm referred to as the supervised inference of feature t...
BACKGROUND: Several studies highlight the effects of artificial intelligence (AI) systems on healthc...
Myocardial perfusion (MP) PET imaging plays a key role in risk assessment and stratification of pati...
A number of different feature selection and classification techniques have been proposed in literatu...
Traditional methods for identifying crash-prone roadways are mainly based on historical crash data. ...
This generation faces existential threats because of the global assault of the novel Corona virus 20...
It is an essential task to estimate the remaining useful life (RUL) of machinery in the mining secto...
This study developed a medicine query system based on Semantic Web and open data especially for self...
BACKGROUND: Use of companion robots may reduce older people's depression, loneliness and agitation. ...
This systematic review analyses and describes the application and diagnostic accuracy of Artificial ...
Deep generative models seek to recover the process with which the observed data was generated. They ...