Latest AI and machine learning research in geriatrics for healthcare professionals.
While numerous studies strive to exploit the complementary potential of MRI and PET using learning-b...
OBJECTIVE: To develop, test, and externally validate a hybrid artificial intelligence (AI) model bas...
OBJECTIVES: Dementia can change oculomotor behavior, which is detectable through eye-tracking. This ...
BACKGROUND: Human activity recognition (HAR) plays a pivotal role in digital healthcare, enabling ap...
Polycystic ovary syndrome (PCOS) is a medical condition that impacts millions of women worldwide; ho...
Approximately 50% of Alzheimer's disease (AD) patients develop psychotic symptoms, leading to a subt...
BACKGROUND: Given the accelerated aging population in China, the number of disabled elderly individu...
While multi-modal deep learning approaches trained using magnetic resonance imaging (MRI) and fluoro...
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...
AIMS: Mortality risk after hospitalization for heart failure (HF) is high, especially in the first 9...
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...
Computational enzyme design is a promising technique for producing novel enzymes for industrial and ...
There is an important challenge in systematically interpreting the internal representations of deep ...