Latest AI and machine learning research in geriatrics for healthcare professionals.
Human activity has a profound impact on the distribution of a number of species, especially those with ecological and economic importance. Euryale ferox Salisb., an annual macrophyte native to South, Southeast, and East Asia, has long been cultivated for its fruits and seeds in north India and east China. However, classified as endangered in Japan, South Korea, Kashmir Himalaya, and Taiwan, China,...
INTRODUCTION: Assessment of renal tissue and renal tumor stiffness may provide complementary information for tissue characterization; however, conventional imaging modalities such as multiphasic computed tomography (CT) do not directly quantify biomechanical properties. Elastography techniques, including magnetic resonance elastography (MRE) and ultrasound elastography (US-E), allow noninvasive me...
BACKGROUND: Asynchronous online forums provide flexible, accessible peer support for many people living with dementia and carers. Moderators are centr...
Amnestic mild cognitive impairment (aMCI) is often considered an early clinical stage of Alzheimer's disease (AD), but its subtle presentation leads t...
Vascular aging is a fundamental contributor to the development of chronic diseases and has emerged as a critical focus in biomedical research. With th...
Atrazine (ATR) is a globally prevalent herbicide linked to increased risks of cognitive impairment and neurodegeneration, but its molecular mechanism ...
Automatic segmentation of 2D echocardiograms is a critical step in diagnosing and assessing heart diseases. Convolutional Neural Networks (CNNs), such...
BACKGROUND: Surgical treatment for spinal metastases is associated with high perioperative risk due to tumor burden, neurologic compromise, and limite...
OBJECTIVES: Large language models (LLMs) are increasingly being used in medical research and as clinical decision-support tools. This study aimed to c...
BACKGROUND: Interprofessional education (IPE) is essential for preparing health sciences students for collaborative practice, yet its implementation r...
Type 2 diabetes mellitus (T2DM) and sarcopenia demonstrate a significant comorbidity, particularly in the elderly, yet the molecular mechanisms linkin...
BACKGROUND: Brain volumetry software is widely accepted for assessment in Alzheimer's disease. However, direct comparisons for software-specific predi...
Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder involving a complex interplay of interconnected pharmacological targets, a fea...
BACKGROUND: Postoperative delirium (POD) is a prevalent complication among older surgical patients; however, accurately predicting its occurrence usin...
Accurate pose estimation underpins quantitative analysis of behavior, yet many deep learning-based tracking tools remain optimized for offline workflo...
OBJECTIVE: To synthesize contemporary developments in head and neck oncologic free flap reconstruction, with emphasis on perioperative physiologic opt...
Ovarian aging is a pivotal determinant of female reproductive decline, of which ovarian granulosa cell senescence is the core executive link and ampli...
Multi-modal models that fuse neuroimaging with clinical assessment data represent the current state of the art for automated Alzheimer's disease detec...
INTRODUCTION: Sarcopenia, the age-related loss of muscle mass and function, is a major barrier to healthy aging. However, its molecular origins remain...
Falls risk is multifactorial, involving a combination of clinical and sociodemographic factors. Although guidelines acknowledge this complexity, most ...