Latest AI and machine learning research in geriatrics for healthcare professionals.
BACKGROUND AND OBJECTIVE: Early and correct classification of neurodegenerative diseases like Alzheimer's Disease (AD) and Frontotemporal Dementia (FTD) is one of the most important challenges in clinical neurology. In this paper, we present a novel electroencephalogram (EEG)-based approach that integrates a rich set of multiresolution features to improve the performance of automatic classificatio...
BACKGROUND: The memory assessment pathway (MAP) for people with subjective memory deficits (dementia, mild cognitive impairment, and other diagnoses) is under huge strain and new diagnostic technologies have been identified as a high priority for research. AIM: To investigate the views of GPs on the MAP, and on how an artificial intelligence tool (CognoSpeak™) could be implemented. DESIGN & SETTIN...
As the population ages, the need for accessible and effortless human-machine interaction (HMI) systems tailored to elderly users has grown rapidly. Ho...
OBJECTIVES: Vertebral fractures are severe complications of osteoporosis but are frequently missed on computed tomography (CT). Differentiating true f...
BACKGROUND AND AIMS: Endoscopic differentiation between autoimmune gastritis (AIG) and Helicobacter pylori-associated atrophic gastritis (HpAG) remain...
INTRODUCTION: Generative artificial intelligence (GAI), including large language models and multimodal generative systems, is rapidly emerging in heal...
BACKGROUND: In undergraduate medical education, the ability to manage clinical-cases is a core competency expected of future physicians. Traditionally...
Frailty in older adults leads to heightened vulnerability to adverse health outcomes, significantly burdening individuals and society by increasing he...
BACKGROUND: Accurate prediction of progressive Mild Cognitive Impairment (pMCI) versus stable MCI (sMCI) is crucial for early Alzheimer's disease (AD)...
Vertebral Compression Fractures (VCFs) are early signs of osteoporosis and the most common type of osteoporotic fracture. In clinical practice, the pi...
Accurate prediction of kelp origin is essential for effective quality and safety management. To this end, we integrated the stable isotope ratios and ...
Sleep disturbances and Alzheimer's disease (AD) are interconnected public health challenges. However, the underlying mechanisms of their complex relat...
OBJECTIVE: Magnetic Resonance Elastography (MRE) is a non-invasive imaging technique for mapping biomechanical properties of in vivo tissue, including...
BACKGROUND: Postoperative delirium (POD) following cardiac surgery is a severe complication, and early identification of delirium risk remains a chall...
The aging population presents a pressing challenge for health care systems, necessitating effective strategies to address the complex needs of older a...
BACKGROUND: Traditional cognitive screening relies on episodic clinical assessments and may miss early changes preceding cognitive impairment and deme...
BACKGROUND: Chronic psychosocial stress induces cumulative physiological dysregulation that accelerates biological aging and contributes to the develo...
Volumetric analysis of brain structures is widely used to detect pathological changes in Alzheimer's disease (AD), but it has limited sensitivity to s...
Alzheimer's disease is a slow, progressive neurological disorder that impacts the brain tissue and causes cells to die, the most common reason for dem...
Digital bioassays are emerging as a pivotal technology in disease prevention and diagnostics due to their single-molecule level detection capability. ...