Latest AI and machine learning research in geriatrics for healthcare professionals.
Two themes are coming to the forefront in this decade: Cognitive impairment of an aging population a...
BACKGROUND: Multiple sclerosis (MS) is an autoimmune disease that can increase the risk of falls in ...
Electroencephalography (EEG) is widely used as a non-invasive technique for the diagnosis of several...
Long-tailed data distributions have been a major challenge for the practical application of deep lea...
INTRODUCTION: Skin cancer, a prevalent cancer type among fair-skinned patients globally, poses a rel...
BACKGROUND: Degradation of magnetic resonance imaging (MRI) remains a challenging issue, with noise ...
Early screening for Mild Cognitive Impairment (MCI) is crucial in delaying cognitive deterioration a...
Learning from data with long-tailed and open-ended distributions is highly challenging. In this work...
PURPOSE: This meta-analysis aimed to evaluate the performance of machine learning (ML) models in pre...
OBJECTIVE: This review aims to explore the strengths and dilemmas of existing osteoporosis screening...
The parotid glands are the largest of the major salivary glands. They can harbour both benign and ma...
Chest X-rays (CXRs) are crucial for diagnosing and managing lung conditions. While CXR is a common a...
As a means of preventing mastitis, deep learning for classifying teat-end conditions in dairy cows h...
Parkinson's disease (PD) is one of the most prominent motor disorder of adult-onset dementia connect...
Osteoporosis (OP), a metabolic disorder predominantly impacting postmenopausal women, has seen consi...
BACKGROUND: Aging is a key risk factor for atrial fibrillation (AF), a prevalent cardiac disorder am...
Transcranial photobiomodulation (tPBM) has been widely studied for its potential to enhance cognitiv...
Over 50 million people globally suffer from Alzheimer's disease (AD), emphasizing the need for effic...
Cardiotocography (CTG) is used to assess the health of the fetus during birth or antenatally in the ...
BACKGROUND: Frailty assessment is imperative for tailoring healthcare interventions for older adults...
The content accuracy of off-the-shelf large language models (LLMs) mirrors the content accuracy of t...