Latest AI and machine learning research in health policy for healthcare professionals.
The recent explosion in machine learning efforts in the quality assurance (QA) space has produced a ...
PURPOSE: Developing automated methods to identify task-driven quality assurance (QA) procedures is k...
A multiuser detection (MUD) algorithm based on deep learning network is proposed for the satellite m...
The advent of Deep Learning (DL) is poised to dramatically change the delivery of healthcare in the ...
BACKGROUND: The combination of growth hormone (GH) and aromatase inhibitors (AI) improves linear gro...
CONTEXT.—: Turnaround time and productivity of clinical mass spectrometric (MS) testing are hampered...
An unprecedented amount of clinical information is now available via electronic health records (EHRs...
OBJECTIVES: To evaluate machine learning (ML) to detect chest CT examinations with dose optimization...
Health care organizations are leveraging machine-learning techniques, such as artificial neural netw...
This paper investigates practical considerations of training ultrasound deep neural network (DNN) be...
Accurate profiling of tumors using immunohistochemistry (IHC) is essential in cancer diagnosis. The ...
INTRODUCTION: Endoscopic strip craniectomy with helmeting (ESCH) has been shown to be a safe and eff...
BACKGROUND: Two major challenges in implementing budget-constrained Hepatitis screening and treatmen...
BACKGROUND AND OBJECTIVE: The quality of data is crucial for clinical registry studies as it impacts...
PURPOSE: Accurate image-based ophthalmic diagnosis relies on fundus image clarity. This has importan...
Use of prescription opioids and problems of abuse and addiction have increased over the past decade....
Groundwater is a major water resource in the North Chengdu Plain, China. The research objective is t...
Within aquaculture industries, selection based on genomic information (genomic selection) has the pr...
In pasture-based automatic milking systems (AMS), a decrease in robot utilization (RU) often occurs ...
BACKGROUND AND PURPOSE: Synthetic FLAIR images are of lower quality than conventional FLAIR images. ...
Noise that afflicts natural images, regardless of the source, generally disturbs the perception of i...