Geriatrics

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

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Subcategories: Alzheimer's Disease Medicare
Showing 484-504 of 7,171 articles
Optimizing heart disease diagnosis with advanced machine learning models: a comparison of predictive performance.

Cardiovascular disease is the leading cause of mortality globally, necessitating precise and prompt ...

Risk prediction models for frailty in older adults: A systematic review and critical appraisal.

BACKGROUND: Frailty can lead to increased adverse health outcomes in older adults. Risk prediction m...

AI-based deformable hippocampal mesh reflects hippocampal morphological characteristics in relation to cognition in healthy older adults.

Magnetic resonance imaging (MRI)-derived hippocampus measurements have been associated with differen...

PULSE: A DL-Assisted Physics-Based Approach to the Inverse Problem of Electrocardiography.

This study introduces an innovative approach combining deep-learning techniques with classical physi...

Association of Psychological Resilience With Decelerated Brain Aging in Cognitively Healthy World Trade Center Responders.

BACKGROUND: Despite their exposure to potentially traumatic stressors, the majority of World Trade C...

Integrating machine learning and a large language model to construct a domain knowledge graph for reducing the risk of fall-from-height accidents.

Fall-from-height (FFH) accidents remain a major source of workplace injuries and fatalities. Fall pr...

Transforming neurodegenerative disorder care with machine learning: Strategies and applications.

Neurodegenerative diseases (NDs), characterized by progressive neuronal degeneration and manifesting...

Perioperative risk assessment for emergency general surgery in those with multimorbidity or frailty.

PURPOSE OF REVIEW: This review explores advances in risk stratification tools and their applicabilit...

Uncovering hidden subtypes in dementia: An unsupervised machine learning approach to dementia diagnosis and personalization of care.

OBJECTIVE: Dementia represents a growing public health challenge, affecting an increasing number of ...

AI-Assisted Label-Free Monitoring Bone Mineral Metabolism on Demineralized Bone Paper.

Effective drug development for bone-related diseases, such as osteoporosis and metastasis, is hinder...

Using Deep Learning to Perform Automatic Quantitative Measurement of Masseter and Tongue Muscles in Persons With Dementia: Cross-Sectional Study.

BACKGROUND: Sarcopenia (loss of muscle mass and strength) increases adverse outcomes risk and contri...

Weighted Multi-Modal Contrastive Learning Based Hybrid Network for Alzheimer's Disease Diagnosis.

Multiple imaging modalities and specific proteins in the cerebrospinal fluid, providing a comprehens...

Stages prediction of Alzheimer's disease with shallow 2D and 3D CNNs from intelligently selected neuroimaging data.

Detection of Alzheimer's Disease (AD) is critical for successful diagnosis and treatment, involving ...

Using machine learning to predict depression among middle-aged and elderly population in China and conducting empirical analysis.

OBJECTIVE: To develop a predictive model for evaluating depression among middle-aged and elderly ind...

Development of a Disease Model for Predicting Postoperative Delirium Using Combined Blood Biomarkers.

OBJECTIVE: Postoperative delirium, a common neurocognitive complication after surgery and anesthesia...

Utilizing machine learning to identify fall predictors in India's aging population: findings from the LASI.

BACKGROUND: Depression has a detrimental effect on an individual's mental and musculoskeletal streng...

Deep Learning for High Speed Optical Coherence Elastography With a Fiber Scanning Endoscope.

Tissue stiffness is related to soft tissue pathologies and can be assessed through palpation or via ...

Predictive modelling of knee osteoporosis.

OBJECTIVE: The objective of this research was to develop a machine learning-based predictive model f...

Understanding the Spatio-Temporal Coupling of Spikes and Spindles in Focal Epilepsy Through a Network-Level Computational Model.

The electrophysiological findings have shown that epileptiform spikes triggering sleep spindles with...

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