Latest AI and machine learning research in osteoporosis for healthcare professionals.
Ion channels, which can be modulated by peptides, are promising drug targets for neurological, metab...
In many areas of the brain, neural populations act as a coordinated network whose state is tied to b...
Osteoporosis contributes significantly to health and economic burdens worldwide. However, the develo...
In clinical practice, many drug therapies are associated with prolongation of the QT interval. In li...
Cellular calcium fluorescence imaging utilized to study cellular behaviors typically results in larg...
Our aim was to identify and quantify high coronary artery calcium (CAC) with deep learning (DL)-powe...
The aim of this study was to assess the possibility of using deep convolutional neural networks (DCN...
INTRODUCTION: One of the current approaches to improve our understanding of osteoporosis is to study...
Low-dose ungated CT attenuation correction (CTAC) scans are commonly obtained with SPECT/CT myocardi...
BACKGROUND: Assessment of coronary artery calcium (CAC) by computed tomographic (CT) imaging provide...
PURPOSE: Many high-risk osteopenia and osteoporosis patients remain undiagnosed. We proposed to cons...
Volumetric functional imaging is widely used for recording neuron activities in vivo, but there exis...
Osteoporosis is still a worldwide problem, particularly due to associated fragility fractures. Patie...
CT examinations contain opportunistic body composition data with potential prognostic utility. Prev...
To assess the performance and added value of processing complete digital endoscopic video sequences ...
Cellular senescence is an important factor in aging and many age-related diseases, but understanding...
BACKGROUND AND PURPOSE: To investigate the image quality and accurate bone mineral density (BMD) on ...
OBJECTIVES: This study was performed to develop computer-aided screening systems that could predict ...
Internet-based applications (apps) are rapidly developing in the e-Health era to assess the dietary ...
BACKGROUND AND OBJECTIVE: The specific aim of this study is to develop machine learning models as a ...
In cell biology, fluorescent dyes are routinely used for biochemical measurements. The traditional g...