Latest AI and machine learning research in health policy for healthcare professionals.
Artificial intelligence companies are different from traditional labor-intensive and capital-intensi...
In recent years, as human life expectancy increases, birth rate decreases and health management conc...
The Internet of Medical Things (IoMT) enables digital devices to gather, infer, and broadcast health...
PURPOSE: To assess the image quality (IQ) of low tube voltage coronary CT angiography (CCTA) images ...
A highly general and straightforward approach to access chiral bis(indolyl)methanes (BIMs) bearing q...
As low-field MRI technology is being disseminated into clinical settings around the world, it is imp...
Rapid progress of industrial development, urbanization and traffic has caused air quality reduction ...
Herein we report on a deep-learning method for the removal of instrumental noise and unwanted spectr...
Although there exist nearly 35 Ă— 10 hearing impaired people in the U.S., only an estimated 25% use h...
Adverse nursing events occur suddenly, unpredictably, or unexpectedly during course of clinical diag...
The advancement of technology in medical equipment has significantly improved healthcare services. H...
UNLABELLED: Quality of Life and long-term clinical outcome following robot-assisted radical trachele...
The application of face detection and recognition technology in security monitoring systems has made...
With the continuous application of the art industry in various fields, more and more people choose t...
Automatic electrocardiogram (ECG) classification is a promising technology for the early screening a...
BACKGROUND: Deep learning-based reconstruction (DLR) can potentially improve image quality by reduct...
River flow variations directly affect the hydro-climatological, environmental, and ecological charac...
Behavioral phenotyping devices have been successfully used to build ethograms, but many aspects of b...
Publicly available skin image datasets are increasingly used to develop machine learning algorithms ...
BACKGROUND: Diagnosis-related groups (DRGs) are a payment system that could effectively solve the pr...
Forecasting the irrigation groundwater parameters helps plan irrigation water and crop, and it is co...