Latest AI and machine learning research in geriatrics for healthcare professionals.
Smuggling of drugs and cigarettes in small inflatable boats across border rivers is a serious threat...
Orthognathic surgical outcomes rely heavily on the quality of surgical planning. Automatic estimatio...
Normative modelling is an emerging method for quantifying how individuals deviate from the healthy p...
BACKGROUND: Mild cognitive impairment (MCI) is a stage preceding dementia, and early intervention is...
Studies of structural connectivity at the synaptic level show that in synaptic connections of the ce...
Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes coronavirus ...
Robot-assisted hand training adopting end-effector devices results in an additional reduction of mot...
PURPOSE: The purpose of this study is to develop and validate a 3D deep learning model that predicts...
In Alzheimer's disease (AD), the contribution of pathophysiological mechanisms other than amyloidosi...
The neural network algorithm of deep learning was applied to optimize and improve color Doppler ultr...
This article presents the hardware-software design and implementation of an open, integrated, and sc...
A growing body of evidence currently proposes that deep learning approaches can serve as an essentia...
Disruptive innovation is an invention that disrupts an existing market and creates a new one by prov...
To develop an efficient, embedded electroencephalogram (EEG) channel selection approach for deep neu...
BACKGROUND: Polypharmacy is common among older adults and it represents a public health concern, due...
This epidemiological study aimed to develop an X-AI that could explain groups with a high anxiety di...
Osteoporosis is treatable but often overlooked in clinical practice. We aimed to construct predictio...
BACKGROUND & AIMS: Body composition analysis on CT images is a valuable tool for sarcopenia assessme...
OBJECTIVES: Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder and the most c...
The field of robot-assisted physical rehabilitation and robotics technology for providing support to...
Background and Objective Electrocardiogram (ECG) quality assessment is significant for automatic dia...