Latest AI and machine learning research in osteoporosis for healthcare professionals.
BACKGROUND: To assess the accuracy of fully automated deep learning (DL) based coronary artery calci...
PURPOSE: Computed tomography (CT) is a technique of choice to image bone structure at different scal...
There is global concern that rice grains and foods can contain harmful amounts of arsenic (As), moti...
Our purpose was to evaluate the biocompatibility and hepatotoxicity of a new bioceramic intracanal m...
Epicardial adipose tissue volume (EAT) has been linked to coronary artery disease and the risk of ma...
The skeleton is one of the most important organs in the human body in assisting our motion and activ...
This study looked at novel data sources for cardiovascular risk prediction including detailed lifest...
In biological systems, Glutamic acid is a crucial amino acid which is used in protein biosynthesis. ...
Calcium complex ferrate is an ideal binder phase in the sintered ore phase, and a detailed study of ...
Maternal use of magnesium sulfate has been associated with neonatal hypocalcemia and bone changes. W...
Intracellular calcium ion (Ca) in cytoplasm as an intracellular second messenger is involved in almo...
Osteoporosis is a common, but silent disease until it is complicated by fractures that are associate...
AIM: To determine the efficacy of tricalcium phosphate (TCP) and calcium sucrose phosphate (CSP) on ...
AIM: The trial was focused on assessing the effect of Denosumab in preventing anchorage loss during ...
Background Separate noncontrast CT to quantify the coronary artery calcium (CAC) score often precede...
BACKGROUND: Wide-field calcium imaging (WFCI) allows for monitoring of cortex-wide neural dynamics i...
This paper proposes a deep-learning-based image enhancement approach that can generate high-resoluti...
Transient receptor potential (TRP) channels are one primary type of calcium (Ca) permeable channels,...
Although many neurotoxicity prediction studies of food additives have been developed, they are appli...
One of the most common methods for diagnosing coronary artery disease is the use of the coronary art...
In this unprecedented era of the overwhelming volume of medical data, machine learning can be a prom...