Latest AI and machine learning research in us health policy for healthcare professionals.
Precise prediction of water quality parameters plays a significant role in making an early alert of ...
Carbon emission trading market promotes carbon emission reduction effectively. Accurate carbon price...
Post-analytical reflexive (automated) and/or reflective (patient tailored and thought driven) interv...
BACKGROUND: Hematoma expansion is an independent predictor of patient outcome and mortality. The ear...
With the phased spatial planning of the rural revitalization strategy, the proportion of architectur...
Surgical interventions should ideally treat an existing disease curatively and achieve this with a l...
This article solves the problem of optimal synchronization, which is important but challenging for c...
INTRODUCTION: The aim of the study was to elucidate the predictive and prognostic value of serum gam...
Gaussian blurring is a well-established method for image data augmentation: it may generate a large ...
Tactile feedback is essential to make robots more agile and effective in unstructured environments. ...
The real challenge in Human-Robot Interaction (HRI) is to build machines capable of perceiving human...
Advancing diagnostic testing capabilities such as clinical next generation sequencing methods offer ...
Mouse models of cancer provide a powerful tool for investigating all aspects of cancer biology. In t...
BACKGROUND: Transient ischemic attack (TIA) is known as "small stroke." However, the diagnosis of TI...
The accurate detection and identification of tea leaf diseases are conducive to its precise preventi...
Predictive analytic models leveraging machine learning methods increasingly have become vital to hea...
In MRI, deep neural networks have been proposed to reconstruct diffusion model parameters. However, ...
Background Deep learning reconstruction (DLR) may improve image quality. However, its impact on diff...
AIMS: To apply a deep learning model for automatic localisation of the scleral spur (SS) in anterior...
The present work aims to analyze the elements that affect corporate green technology innovation and ...