Latest AI and machine learning research in health policy for healthcare professionals.
Recycling of industrial wastewater meeting quality standards for agricultural and industrial demands...
INTRODUCTION: The clinical course of chronic obstructive pulmonary disease (COPD) is marked by acute...
BACKGROUND: Accurate information in provider directories are vital in health care including health i...
Early detection of Atrial Fibrillation (AFib) is crucial to prevent stroke recurrence. New tools for...
The exact mechanism of endometriosis is unknown. The recommendation system (RS) based on item simila...
In recent years, the variety and volume of data acquired by modern analytical instruments in order t...
We introduce Bayesian QuickNAT for the automated quality control of whole-brain segmentation on MRI ...
Recent breakthroughs in artificial intelligence (AI), specifically via its emerging sub-field "deep ...
Automatic retinal image analysis has remained an important topic of research in the last ten years. ...
In 2016, the Frank R. Lautenberg Chemical Safety for the 21st Century Act became the first US legisl...
To what extent is it possible to use machine learning to predict the outcome of a relationship, base...
The combination of big data and deep learning is a world-shattering technology that can make a great...
BACKGROUND: Improper dosing of medications such as insulin can cause hypoglycemic episodes, which ma...
Comprehensive reviews of syndromic surveillance in animal health have highlighted the hindrances to ...
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...