Latest AI and machine learning research in geriatrics for healthcare professionals.
OBJECTIVE: This study aimed to construct and validate an individualized prediction model for poor prognosis in elderly patients with Aneurysmal subarachnoid hemorrhage (aSAH) based on multimodal indicators such as clinical, imaging, and laboratory data. METHODS: We retrospectively enrolled 241 consecutive patients with aSAH from January 2017 to December 2020 as the training set. An independent tem...
BACKGROUND: Digital health tools, particularly patient portals, can support caregiving, but there is limited understanding of how sociodemographic and geographic factors influence digital health engagement among U.S. caregivers, especially dementia caregivers. Dementia caregiving involves complex coordination, medication management, and frequent healthcare interactions. Therefore, access to online...
Ligand-based drug design (LBDD) has long driven therapeutic innovation; however, its traditional potency-centered paradigm often oversimplifies biolog...
INTRODUCTION: Idiopathic normal pressure hydrocephalus (iNPH) is frequently underdiagnosed due to non-specific symptoms and the risks of invasive test...
PURPOSE: To evaluate the diagnostic performance of deep learning (DL) algorithms applied to chest radiographs (CXR) for detecting osteoporosis and ass...
INTRODUCTION: Falls severely affect older adults and are emerging as a global health and financial burden for public health care systems. Multiple stu...
BACKGROUND: Less women participate in Alzheimer Disease (AD) trials compared to their estimated representation in the global dementia population. OBJE...
BACKGROUND: Oral cancer is a major public health problem among the population of India. In rural setting whereby there is exposure to high-risk factor...
BACKGROUND: Frailty is a risk factor for adverse outcomes in patients undergoing mitral valve transcatheter edge-to-edge repair (M-TEER) and is interr...
Docking-based virtual screening (VS) is essential for hit finding in the initial stage of drug or probe discovery. However, it remains prone to high f...
INTRODUCTION: Increased global lifespan is paralleled by a rise in non-communicable diseases with osteoarthritis and dementia, including Alzheimer's d...
OBJECTIVE: To compare the diagnostic performance of multiregional CT-based muscle assessment with conventional single-level (L3) evaluation. MATERIALS...
To evaluate the clinical reasoning ability of large language models (LLMs) and retrieval-augmented generation (RAG) systems in pediatric myopia manage...
BACKGROUND: The accurate diagnosis of otitis media (OM) has long been a challenge for clinicians (especially for less experienced clinicians) due to t...
BACKGROUND: Glymphatic system (GS) function and hippocampal microstructural changes are promising imaging markers of Alzheimer's disease (AD). This st...
BACKGROUND: Anterior segment diseases are a major global cause of preventable blindness, especially in regions with limited access to specialized opht...
Infections after surgery remain a leading cause of morbidity and mortality, yet reliable risk stratification at the end of surgery is limited. Intraop...
Three-dimensional (3D) tumour spheroids are widely used as physiologically relevant in vitro models to study tumour biology, therapeutic responses, an...
The association between the physical living environment and brain structural changes in older adults remains considerably unexplored despite its poten...
BACKGROUND: Renal fibrosis is a pathological hallmark of progressive chronic kidney disease, partly driven by aging-related molecular alterations. How...