Latest AI and machine learning research in health policy for healthcare professionals.
Nonmelanoma skin cancers (NMSCs) are among the top five most common cancers globally. NMSC is an are...
This review explores the transformative potential of Artificial Intelligence (AI) in the light of ev...
Neurodevelopmental disorders (NDD) in offspring are associated with a complex combination of pre-and...
In Saudi Arabia, water pollution and drinking water scarcity pose a major challenge and jeopardise t...
This paper is aimed at developing an air quality monitoring system using machine learning (ML), Inte...
Hypericum perforatum L. (HPL), also known as St. John's wort, is one of the extensively researched d...
Recent research in computational imaging largely focuses on developing machine learning (ML) techniq...
OBJECTIVE: To construct the deep learning convolution neural network (CNN) model and machine learnin...
Telemedicine is an emerging development in the healthcare domain, where the Internet of Things (IoT)...
The identification of drug-induced cardiotoxicity remains a pressing challenge with far-reaching cli...
With Artificial Intelligence (AI) increasingly permeating various aspects of society, including heal...
The high-quality development of SRDI enterprises is crucial for China to overcome critical technolog...
Most artificial intelligence (AI) studies have attempted to identify dental implant systems (DISs) w...
The Quintuple Aim seeks to improve healthcare by addressing social determinants of health (SDOHs), w...
Many cardiac diseases, such as arrhythmia or cardiogenic shock, cause irregular beating patterns tha...
Water quality index (WQI) is a well-established tool for assessing the overall quality of fresh inla...
Since the early 2000s, artificial intelligence (AI) has raised concerns regarding its use in healthc...
BACKGROUND: Von Willebrand disease (VWD) is underdiagnosed, often delaying treatment. VWD claims cod...
BACKGROUND: For accessing dental care in Canada, approximately 62%Â of the population has employment-...
The aim of this study is to examine the risks associated with the use of artificial intelligence (AI...
To evaluate the effect of a vendor-agnostic deep learning denoising (DLD) algorithm on diagnostic im...