Geriatrics

Latest AI and machine learning research in geriatrics for healthcare professionals.

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Subcategories: Alzheimer's Disease Medicare
Showing 232-252 of 7,162 articles
SLR: A Modified Logistic Regression Model with Sinkhorn Divergence for Alzheimer's Disease Classification.

Logistic regression is a widely used model in machine learning, particularly as a baseline for binar...

Early Alzheimer's Detection Through Voice Analysis: Harnessing Locally Deployable LLMs via , a privacy-preserving diagnostic system.

Diagnosing Alzheimer's Disease (AD) early and cost-effectively is crucial. Recent advancements in La...

Predicting rapid kidney function decline in middle-aged and elderly Chinese adults using machine learning techniques.

The rapid decline of kidney function in middle-aged and elderly people has become an increasingly se...

AI-delirium guard: Predictive modeling of postoperative delirium in elderly surgical patients.

INTRODUCTION: In older patients, postoperative delirium (POD) is a major complication that can resul...

Dynamically weighted graph neural network for detection of early mild cognitive impairment.

Alzheimer's disease (AD) is a prevalent neurodegenerative disease that primarily affects the elderly...

Social bonding between humans, animals, and robots: Dogs outperform AIBOs, their robotic replicas, as social companions.

In the evolving landscape of technology, robots have emerged as social companions, prompting an inve...

A machine learning-based prediction model for sepsis-associated delirium in intensive care unit patients with sepsis-associated acute kidney injury.

Sepsis-associated acute kidney injury (SA-AKI) patients in the ICU often suffer from sepsis-associat...

Evaluating the impact of human expertise in human-centered AI: A case study on finger-tapping video analysis for dementia detection.

PURPOSE: Human-centered artificial intelligence (AI) plays a crucial role in medical research. This ...

Development of a neural network-based risk prediction model for mild cognitive impairment in older adults with functional disability.

BACKGROUND: Mild Cognitive Impairment (MCI) is a critical transitional stage between normal aging an...

Role of astroglia and microglia in Alzheimer's disease and multiple therapeutic interventions.

Alzheimer's disease (AD) is characterized by deposition of amyloid-β (Aβ) and neurofibrillary tangle...

Using machine learning to identify predictors of self-perceptions of aging among older adults in England.

OBJECTIVES: This study aimed to identify the strongest predictors of self-perceptions of aging (SPA)...

HVAngleEst: A Dataset for End-to-end Automated Hallux Valgus Angle Measurement from X-Ray Images.

Accurate measurement of hallux valgus angle (HVA) and intermetatarsal angle (IMA) is essential for d...

End-to-end 2D/3D registration from pre-operative MRI to intra-operative fluoroscopy for orthopedic procedures.

PURPOSE: Soft tissue pathologies and bone defects are not easily visible in intra-operative fluorosc...

Screening/Diagnosing Sarcopenia with Machine Learning-Powered Risk Assessment: The SARCO X Study.

OBJECTIVES: Sarcopenia imposes significant morbidity and economic burden on health care systems, und...

Identification and validation of aging related genes in osteoarthritis.

BACKGROUND: Osteoarthritis (OA) is a degenerative disease associated with aging. Although an increas...

Mild to moderate COPD, vitamin D deficiency, and longitudinal bone loss: the Multi-ethnic Study of Atherosclerosis.

OBJECTIVE: Despite the established association between chronic obstructive pulmonary disease (COPD) ...

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