Latest AI and machine learning research in health policy for healthcare professionals.
This review explores the transformative potential of Artificial Intelligence (AI) in the light of ev...
BACKGROUND: Several factors can impair image quality and reliability of liver magnetic resonance ela...
BACKGROUND: In an effort to improve the quality of medical care, the philosophy of patient-centered ...
Short-term exposure to ground-level ozone (O) poses significant health risks, particularly respirato...
INTRODUCTION: Wearing a helmet reduces the risk of head injuries substantially in the event of a mot...
PURPOSE: To evaluate the effect of deep learning reconstruction (DLR) on vascular depiction, tumor e...
GPT-4 generated moderate quality information in response to questions regarding sinusitis and surger...
The escalating global occurrence of algal blooms poses a growing threat to ecosystem services. In th...
BACKGROUND: Artificial intelligence (AI) reconstruction techniques have the potential to improve ima...
Neurodevelopmental disorders (NDD) in offspring are associated with a complex combination of pre-and...
Science journalists, traditionally, play a key role in delivering science information to a wider aud...
BACKGROUND & AIMS: Accurate diagnosis of sarcopenia requires evaluation of muscle quality, which ref...
This study aimed to evaluate the impact of radiation dose and focal spot size on the image quality o...
PURPOSE: To develop and validate an artificial intelligence (AI) application in a clinical setting t...
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...
The World Anti-Doping Agency (WADA) has prohibited the use of clenbuterol (CLN) because it induces a...
Hypericum perforatum L. (HPL), also known as St. John's wort, is one of the extensively researched d...
Optimization and control of wastewater treatment process (WTP) can contribute to cost reduction and ...
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...