Latest AI and machine learning research in geriatrics for healthcare professionals.
BACKGROUND: Since its emergence in 2019, COVID-19 has become a global epidemic. Several studies have...
The purpose of this article is to evaluate the application of artificial intelligence (AI) from the ...
Alzheimer's Disease (AD) is a progressive condition of a neurological brain disorder recognized by s...
Recently, deep learning-based medical image classification models have made substantial advancements...
Digital health innovations hold diagnostic and therapeutic promise but may be subject to biases for ...
OBJECTIVE: To develop, test, and externally validate a hybrid artificial intelligence (AI) model bas...
While multi-modal deep learning approaches trained using magnetic resonance imaging (MRI) and fluoro...
BACKGROUND: Given the accelerated aging population in China, the number of disabled elderly individu...
Approximately 50% of Alzheimer's disease (AD) patients develop psychotic symptoms, leading to a subt...
BACKGROUND: Human activity recognition (HAR) plays a pivotal role in digital healthcare, enabling ap...
Alzheimer's disease (AD) is a leading cause of disability worldwide. Early detection is critical for...
Alzheimer's Disease (AD) is a significant cause of mortality in elderly people. The diagnosing and c...
Deep learning (DL) for predicting Alzheimer's disease (AD) has provided timely intervention in disea...
STUDY OBJECTIVE: Delirium is a common complication after cardiac surgery and is associated with poor...
BACKGROUND: Early diagnosis and accurate prognosis of cognitive decline in Alzheimer's disease (AD) ...
INTRODUCTION: To investigate the accuracy of an artificial intelligence (AI) prototype in determinin...
The current standard method for the analysis of potential drug-drug interactions (pDDIs) is time-con...
Alzheimer's disease (AD) is a degenerative neurological condition characterized by a progressive dec...
Deep learning (DL) and explainable artificial intelligence (XAI) have emerged as powerful machine-le...
PURPOSE: With the evolving disease spectrum, chronic diseases have emerged as a primary burden and a...
There is an important challenge in systematically interpreting the internal representations of deep ...