Latest AI and machine learning research in health policy for healthcare professionals.
The bacterial strains SEMIA 587 and 5019 (Bradyrhizobium elkanii), 5079 (Bradyrhizobium japonicum), ...
Deep learning has been developed by computer scientists. Here, we discuss techniques for improving t...
PURPOSE: Sparsely sampled computed tomography (CT) has been attracting attention as a technique that...
PURPOSE: A prospective study evaluating impact of percutaneous nephrolithotomy (PCNL) on renal funct...
Quality assessment is essential for the computational prediction and design of RNA tertiary structur...
Hospital traditional cost accounting systems have inherent limitations that restrict their usefulnes...
Quality control (QC) of brain magnetic resonance images (MRI) is an important process requiring a si...
Stable phase schizophrenia is characterized by altered patterning in tryptophan catabolites (TRYCATs...
BACKGROUND: This paper studies the temporal consistency of health care expenditures in a large state...
To explore the acceptability of telepresence robots in dementia care from the perspectives of peopl...
Particulate matter with aerodynamic diameter less than 2.5 µm (PM) in indoor public spaces such as s...
Protein tertiary structure prediction is an important open challenge in bioinformatics and requires ...
IMPORTANCE: Vaporization is an increasingly popular method for cannabis administration, and policy c...
The effectiveness of a cardiovascular magnetic resonance (CMR) scan depends on the ability of the op...
Posttraumatic stress disorder (PTSD) develops in a substantial minority of emergency room admits. In...
Interventions used to improve air quality are often difficult to detect in air quality time series d...
Radiation exposure and the associated risk of cancer for patients in computed tomography (CT) scans ...
Whereas the use of probiotics is commonplace in commercial production of improved chicken strains, l...
Poor-quality retinal images do not allow an accurate medical diagnosis, and it is inconvenient for a...
The value of protein models obtained with automated protein structure prediction depends primarily o...
This manuscript proposed a hybrid method of Deep Neural Network (DNN) and Cuckoo Search Optimization...