Latest AI and machine learning research in geriatrics for healthcare professionals.
BackgroundAcetyl tributyl citrate (ATBC), an eco-friendly plasticizer, exhibits poorly characterized neurotoxic effects.ObjectiveWe integrated network toxicology, machine learning, and molecular docking to elucidate molecular mechanisms underlying the link between ATBC exposure and Alzheimer's disease (AD) pathogenesis.MethodsPotential action targets of ATBC were screened from ChEMBL, TargetNet, a...
BACKGROUND: Artificial intelligence (AI) is transforming medical imaging, yet its economic impact in dentistry remains largely unexplored. AIM: This study evaluated the cost-effectiveness of AI-assisted detection of apical periodontitis on panoramic radiographs, including downstream clinical decision-making. MATERIAL AND METHODS: Using data from a randomised study on AI-assisted detection of apica...
BACKGROUND: Late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) is the reference standard for assessing myocardial scar and micr...
Physical activity and mobility are critical for healthy aging and predict diverse health outcomes. While wrist-worn accelerometers are widely used to ...
BACKGROUND: The integration of artificial intelligence (AI) into healthcare, particularly in oncology, has attracted considerable attention in China. ...
BackgroundAlthough multi-task handwriting analysis has the potential to improve early detection of Alzheimer's disease (AD), the educational bias inhe...
BackgroundAlzheimer's disease (AD) patients frequently present to emergency departments (EDs) with complex comorbidities that complicate triage and ma...
OBJECTIVE: To develop and validate a multimodal dual-step support vector machine model (SVM-DualNet) for the preoperative three-class classification o...
BACKGROUND: Estimated pulmonary biological age (ePBA) has emerged as a more reliable indicator for disease progression and mortality than chronologica...
BACKGROUND: Fatal occupational injury rates among agricultural workers are within the top 10 most dangerous civilian jobs. However, tracking and docum...
Recurrent Spiking Neural Networks (RSNNs) represent a crucial paradigm in neuromorphic computing, with their performance heavily dependent on the desi...
The brain age gap (BAG) is defined as the difference between brain age estimated from MRI using artificial intelligence and chronological age, and has...
Aging is a major risk factor for neurodegenerative diseases, yet the underlying epigenetic mechanisms remain unclear. Here, we generated a comprehensi...
BACKGROUND: Humanoid robots offer a promising solution to the growing burden of care for older adults. However, existing evidence on their application...
BACKGROUND: Disturbance of iron homeostasis in both the brain and blood is linked to cognitive impairment and neurodegenerative diseases. Investigatio...
BACKGROUND: Mild Cognitive Impairment (MCI) assessment is critical for identifying cognitive decline and enabling early intervention to reduce the ris...
Oxidative stress (OS) is a hallmark of Alzheimer's disease (AD), yet the cell type-specific mechanisms remain unclear. We analyzed a single-cell RNA s...
BACKGROUND: Falling has become a global public health problem. Individuals with arthritis have a higher risk of falling because of joint pain, poor mu...
BACKGROUND: Triage errors in emergency departments (EDs), including undertriage and overtriage, pose significant risks to patient safety and resource ...
Bone degeneration diseases, such as osteoporosis, are skeletal disorders characterized by diminished bone mass and increased susceptibility to fractur...