Geriatrics

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

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Showing 3508-3528 of 7,395 articles
DrIVeNN: Drug Interaction Vectors Neural Network.

Polypharmacy, the concurrent use of multiple drugs to treat a single condition, is common in patient...

SF-Rx: A Multioutput Deep Neural Network-Based Framework Predicting Drug-Drug Interaction under Realistic Conditions for Safe Prescription.

Drug-drug interaction (DDI) can compromise therapeutic efficacy and cause detrimental effects in pol...

Dissecting the genetic complexity of myalgic encephalomyelitis/chronic fatigue syndrome via deep learning-powered genome analysis.

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex, heterogeneous, and systemi...

Artificial Intelligence and Aging in Place: A Scoping Review of Current Applications and Future Directions.

BACKGROUND AND OBJECTIVES: As the global population continues to age, aging in place (AIP) has emerg...

A Call for Integrated Approaches in Digital Technology Design for Aging and Disability.

The fields of aging and disability often proceed as 2 distinct lines of inquiry and action in terms ...

The iCARE-DM Model for Five-Year T2DM Risk Prediction in the Elderly Population from Chinese Routine Public Health Services - China, 2017-2024.

INTRODUCTION: Risk assessment for high-risk populations is critical for preventing Type 2 Diabetes M...

Circulating Antioxidant Nutrients and Brain Age in Midlife Adults.

OBJECTIVE: Due to population aging, the increasing prevalence of Alzheimer's Disease (AD) and relate...

Thirty-day mortality risk prediction for geriatric patients undergoing non-cardiac surgery in the surgical intensive care unit.

BACKGROUND: The prediction of mortality for elderly patients undergoing non-cardiac surgeries is a v...

Construction and validation of a predictive model for suicidal ideation in non-psychiatric elderly inpatients.

BACKGROUND: Suicide poses a substantial public health challenge globally, with the elderly populatio...

Construction of disability risk prediction model for the elderly based on machine learning.

The study aimed to develop a predictive model using machine learning algorithms, providing healthcar...

Wearable sleep recording augmented by artificial intelligence for Alzheimer's disease screening.

The recent emergence of wearable devices will enable large scale remote brain monitoring. This study...

Identification of novel biomarkers and drug targets for frailty-related skeletal muscle aging: a multi-omics study.

BACKGROUND: Skeletal muscle aging is the major cause and hallmark of frailty, which poses a signific...

Mortality and its predictors among people with dementia receiving psychiatric in-patient care.

BACKGROUND: Although dementia is a terminal condition, palliation can be a challenge for clinical se...

Human versus machine: deciding on high-stakes surgery in possible Cauda Equina syndrome.

BACKGROUND CONTEXT: Cauda Equina Syndrome (CES) is a spine surgical urgency requiring prompt interve...

Cross study transcriptomic investigation of Alzheimer's brain tissue discoveries and limitations.

Developing effective treatments for Alzheimer's disease (AD) likely requires a deep understanding of...

EEG-based Signatures of Schizophrenia, Depression, and Aberrant Aging: A Supervised Machine Learning Investigation.

BACKGROUND: Electroencephalography (EEG) is a noninvasive, cost-effective, and robust tool, which di...

A Multi-Modal Graph Neural Network Framework for Parkinson's Disease Therapeutic Discovery.

Parkinson's disease (PD) is a complex neurodegenerative disorder lacking effective disease-modifying...

Towards Precision in Sarcopenia Assessment: The Challenges of Multimodal Data Analysis in the Era of AI.

Sarcopenia, a condition characterised by the progressive decline in skeletal muscle mass and functio...

Diagnosis of Sarcopenia Using Convolutional Neural Network Models Based on Muscle Ultrasound Images: Prospective Multicenter Study.

BACKGROUND: Early detection is clinically crucial for the strategic handling of sarcopenia, yet the ...

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